Digitalization plays an integral role in the transformation of the Omni structure. This study aims to investigate the effect of digital marketing capabilities and blockchain technology on customer-linking capabilities, market-sensing capabilities, consumer-brand engagement, and firm performance in China. The study was quantitative, and a simple random sampling technique was adopted for data collection. Data were collected using a structured questionnaire, 311 questionnaires were distributed, and a 5-point Likert scale was used to collect the data from the respondents who were (...) employed in the Omni structure industries. The research hypothesis was tested using the structural equation modeling technique. The results have identified a significant correlation and direct effect between DMCs, CLCs, MSCs, and firm performance. Remarkably, the effect of DMCs on CBE is significant. The mediating effect of MSCs and CLCs is significant between the relationship of DMCs and firm performance. The organization performance in the Omni structure depends on how well the DMCs have been employed. The DMCs influence MSCs, CLCs, and CBE. Henceforth, this study contributes by analyzing the role of DMCs in blockchain technology. (shrink)

Digital marketing tactics, such as social media advertisements and online promotions, have an impact on customers' propensity to make purchases, influencing their purchasing decisions and behaviors. The effect of digital media marketing on consumers' intentions to purchase, is the term used to describe this phenomenon. Digital media marketing tactics have a problem that they can't take into consideration the variety of customer behaviors, which could result in generalized findings that are not applicable to certain market personal preferences. Randomly collected 180 (...) participants for this study to find the impact of digital media marketing on customer buying intentions, and randomly questionnaires were collected. There are some factors depicted in this study that Consumer Purchase Intension (CPI) is a dependent variable, and independent variables such as Perceived Relevance (PR), Frequency of Exposure (FE), Content Quality (CQ), Platform Trust (PT), and Social Proof (SP). Digital media marketing's effect on consumers' ability to make purchases is investigated using statistical analysis using PLS-SEM, CFA, reliability, and Cronbach's alpha. The results of this investigation indicate a strong connection between CPI and digital media marketing and with reliable structures and believable models, it has successfully influenced consumer behavior and decision-making processes. (shrink)

“Anyone who considers arithmetical methods of producing random digits is, of course, in a state of sin.”1 John von Neumann’s famous dictum points an accusing finger at all who set their ordered minds to engender disorder. Much as in times past thieves, pimps, and actors carried on their profession with an uneasy conscience, so in this day scientists who devise random number generators suffer pangs of guilt. George Marsaglia, perhaps the preeminent worker in the field, quips when (...) he asks his colleagues, “Who among us has not sinned?” Marsaglia’s work at the Supercomputer Computations Research Institute at Florida State University is well-known. Inasmuch as Marsaglia’s design and testing of random number generators depends on computation, and inasmuch as computation is fundamentally arithmetical, Marsaglia is by von Neumann’s own account a sinner. Working as he does on a supercomputer, Marsaglia is in fact a gross sinner. This he freely admits. Writing of the best random number generators he is aware of, Marsaglia states, “they are the result of arithmetic methods and those using them must, as all sinners must, face Redemption [sic] Day. But perhaps with better understanding we can postpone it.”. (shrink)

This study proposes a push notification system that combines digital real-time learning, roll-call, and feedback collection functions. With the gradually flourishing online real-time learning systems, this research further builds roll-call and feedback functions for students to enhance concentration and provide opinions. Additionally, the lecturers can do a roll call irregularly and randomly through the push notification function, avoiding students logging in but away from the keyboard. Lecturers can also send questions to a specific student or invite all students to answer; (...) the replies can show students' learning performance. The system will store each notification in a database and analyse messages automatically to record roll calls. Moreover, the system can record the time and intervals of student feedback, enabling lecturers to check students' attention and learning conditions. Currently, most online digital systems depend on the lecturer to be responsible for the entire system; taking a roll call and asking questions will consume the lecturer's teaching time and strength. The system developed in this article can do roll calls and feedback by push notifications, reducing lecturers' workload. Furthermore, the roll-call and automatic record functions can save the time of paperwork after a course. (shrink)

Data mining, as an essential part of artificial intelligence, is a powerful digital technology, which makes businesses predict future trends and alleviate the process of decision-making and enhancing customer experience along their digital transformation journey. This research provides a practical implication – a case study - to provide guidance on analyzing information and predicting repairs in home appliances after sales services business. The main benefit of this practical comparative study of various classification algorithms, by using the Weka tool, is the (...) analysis of information and the prediction of repairs in the home appliances after sales services business. The comparison of algorithms is performed considering different parameters, such as the mean absolute error, root mean square error, relative absolute error and root relative squared error, receiver operating characteristic area, accuracy, Matthews’s correlation coefficient, precision-recall curve, precision, F-measure, recall and statistical criteria. Five classification algorithms such as the Naive Bayes, J48, random forest, K-Nearest Neighbor, and logistic regression were implemented in the dataset. J48 has proved to provide the best accuracy and the lowest error among the other examined algorithms applied to a home appliances after sales services dataset to predict repairs based on product guarantee period. The extracted information and results of an after sales services business by using data mining techniques prove to alleviate the process of streamlining decision-making and provide reliable predictions, especially for the customers, as well as increase businesses’ efficiency along their digital transformation journey. (shrink)

The current research aims at improving the skills of producing digital stories using the tools of generative artificial intelligence Chat GPT and Google Bard, which are necessary for female student teachers’ specialization: Kindergarten. The current research has used the descriptive approach and the experimental approach with a quasi-experimental design through a design based on one group and comparing the differences between the pre and post-evaluation. The study sample was randomly selected from female students teachers specializing in kindergarten, and their number (...) reached (25) students. A list of producing digital stories standards was prepared and controlled, and a graded performance rating scale was prepared to evaluate the skills of producing digital stories among female student teachers specializing in kindergarten. The results indicate the effectiveness of using the generative AI tools in improving digital stories production skills according to the criteria that were built in the current research. (shrink)

Purpose Citizen engagement (CE) in public policy is increasingly considered to be an important feature of governance worldwide. The aim of this study is to explore the impact of e-government usage (EGU) on citizens’ engagement. In addition, the study investigates the mediating effect of government reputation (GR) and the moderating role of digital divide (DD) in EGU and citizens' engagement relationship. Design/methodology/approach Data were collected from 938 respondents in Vietnam with a random method. This study used the partial least (...) squares – structural equation modeling method to examine hypotheses. Findings The results show that e-government and GR are critical determinants of CE. Furthermore, GR plays a mediating role in the relationship between e-government and CE. The results also show how DD moderates this nexus. Practical implications The findings of this study provide valuable evidence and implications. Public officials must improve the GR and administrative capacity as the determination for the CE. Moreover, the government should continually carry out policies to reduce the DD. Originality/value By investigating the mediating and moderating effects of GR and DD, this study has significantly contributed to advancing the body knowledge of e-government. (shrink)

According to a traditional view, scientific laws and theories constitute algorithmic compressions of empirical data sets collected from observations and measurements. This article defends the thesis that, to the contrary, empirical data sets are algorithmically incompressible. The reason is that individual data points are determined partly by perturbations, or causal factors that cannot be reduced to any pattern. If empirical data sets are incompressible, then they exhibit maximal algorithmic complexity, maximal entropy and zero redundancy. They are therefore maximally efficient carriers (...) of information about the world. Since, on algorithmic information theory, a string is algorithmically random just if it is incompressible, the thesis entails that empirical data sets consist of algorithmically random strings of digits. Rather than constituting compressions of empirical data, scientific laws and theories pick out patterns that data sets exhibit with a certain noise. (shrink)

One can consider μ‐Martin‐Löf randomness for a probability measure μ on 2ω, such as the Bernoulli measure given. We study Bernoulli randomness of sequences in with parameters, and we reintroduce Bernoulli normality, where the uniform distribution of digits is replaced with a Bernoulli distribution. We prove the equivalence of three characterizations of Bernoulli normality. We show that every Bernoulli random real is Bernoulli normal, and this has the corollary that the set of Bernoulli normal reals has full Bernoulli (...) measure in. We give an algorithm for computing Bernoulli normal sequences from normal sequences so that we can give explicit examples of Bernoulli normal reals. We investigate an application of randomness to iterated function systems. Finally, we list a few further questions relating to Bernoulli randomness and Bernoulli normality. (shrink)

Almost everyone has an intuitive notion of what a random number is. For example, consider these two series of binary digits: 01010101010101010101 01101100110111100010 The first is obviously constructed according to a simple rule; it consists of the number 01 repeated ten times. If one were asked to speculate on how the series might continue, one could predict with considerable confidence that the next two digits would be 0 and 1. Inspection of the second series of digits (...) yields no such comprehensive pattern. There is no obvious rule governing the formation of the number, and there is no rational way to guess the succeeding digits. The arrangement seems haphazard; in other words, the sequence appears to be a random assortment of 0's and 1's. (shrink)

This research focuses on students' online purchase intentions in Pakistan toward different products available for sale on numerous e-business websites. This study's main objective is to determine which methodology is better to enhance customer online purchase intention. It also aims to discover how to improve perceived benefits and lower perceived risks associated with any available online product and entrepreneurship. AMOS 24 has been used to deal with the mediation in study design with bootstrap methodology. The study was conducted on 250 (...) students from different educational institutes in Pakistan using a simple random sampling technique. A finding of this study suggests that both methods positively impact online purchase intention of consumers and sustainable digital economy. But social media advertisement is more effective through enhancing the perceived benefits of products. In contrast, product content factors are more effective at lowering the perceived risks associated with available online products. (shrink)

The improvement of modern computer technology to achieve fundamentally new indicators can be carried out on the basis of various approaches. One of such approaches is the application of methods of physical informatics. Therefore, this paper considers the support of ensuring “digital immortality” based on physical computer science methods. On the basis of Wiener random processes, measures are proposed to ensure the security of computer nodes to ensure “digital immortality”. The calculated ratios from physical informatics adapted to determine the (...) requirements for the design of information systems to ensure the digitalization of the brain are given. (shrink)

Let ω be a Kolmogorov–Chaitin random sequence with ω1: n denoting the first n digits of ω. Let P be a recursive predicate defined on all finite binary strings such that the Lebesgue measure of the set {ω|∃nP(ω1: n )} is a computable real α. Roughly, P holds with computable probability for a random infinite sequence. Then there is an algorithm which on input indices for any such P and α finds an n such that P holds (...) within the first n digits of ω or not in ω at all. We apply the result to the halting probability Ω and show that various generalizations of the result fail. (shrink)

Neurodegenerative Parkinson's Disease (PD) is one of the common incurable diseases among the elderly. Clinical assessments are characterized as standardized means for PD diagnosis. However, relying on medical evaluation of a patient's status can be subjective to physicians' experience, making the assessment process susceptible to human errors. The use of ICT-based tools for capturing the status of patients with PD can provide more objective and quantitative metrics. In this vein, the Personalized Serious Game Suite (PGS) and intelligent Motor Assessment Tests (...) (iMAT), produced within the i-PROGNOSIS European project (www.i-prognosis.eu), are explored in the current study. More specifically, data from 27 patients with PD at Stage 1 (9) and Stage 3 (18) produced from their interaction with PGS/iMAT are analyzed. Five feature vector (FV) scenarios are set, including features from PGS or iMAT scores or their combination, after also taking into consideration the age of patients with PD. These FVs are fed into three machine learning classifiers, i.e., K-Nearest Neighbor (KNN), Support Vector Machines (SVM), and Random Forest (RF), to infer the stage of each patient with PD. A Leave-One-Out Cross-Validation (LOOCV) method is adopted for testing the classification performance. The experimental results show that a high (>90%) classification accuracy is achieved from both data sources (PGS/iMAT), justifying the effectiveness of PGS/iMAT to efficiently reflect the motor skill status of patients with PD and further potentiating PGS/iMAT enhancement with a machine learning a part to infer for the stage of patients with PD. Clearly, this integrated approach provides new opportunities for remote monitoring of the stage of patients with PD, contributing to a more efficient organization and set up of personalized interventions. (shrink)

I will propose the notion that the universe is digital, not as a claim about what the universe is made of but rather about the way it unfolds. Central to the argument will be the concepts of symmetry breaking and algorithmic probability, which will be used as tools to compare the way patterns are distributed in our world to the way patterns are distributed in a simulated digital one. These concepts will provide a framework for a discussion of the informational (...) nature of reality. I will argue that if the universe were analog, then the world would likely be random, making it largely incomprehensible. The digital model has, however, an inherent beauty in its imposition of an upper limit and in the convergence in computational power to a maximal level of sophistication. Even if deterministic, that it is digital doesnít mean that the world is trivial or predictable, but rather that it is built up from operations that at the lowest scale are very simple but that at a higher scale look complex and even random, though only in appearance. (shrink)

The author analyses the reliability and accuracy of the results of sociological research conducted using quota sampling. The author discusses the advantages and disadvantages of using quota samples compared to random samples. The main focus is on the representativeness of the obtained data and the possibility of extrapolating them to the general population.In the problem statement, the author noted that a mechanical method of forming a random sample is most often used to study public opinion in Ukraine. The (...) main feature of this method is to ensure an equal probability of selection of each element of the general population. The author emphasizes that although this method allows for easy calculation of possible errors and analysis of collected information, it has a disadvantage in representing specific groups of the population.To address this problem, the author proposes using an equal probability method of forming quota samples, which allows selecting respondents according to their quotas in the general population, thus providing a more representative model of the studied population. However, in the scientific community, there is no consensus on the use of indicators in forming quota samples, and all existing works remain at the level of theoretical assumptions.The author attempts to empirically substantiate the effectiveness of quota samples through experimentation. The hypothesis of the experiment assumes that the results of studies conducted according to quotas can be extrapolated to the general population with high accuracy and reliability using mathematical and statistical methods. During the experiment, both quota and random samples were used to compare the results.The general population consisted of 489 musical compositions represented in different proportions to eliminate the subjective component from the experiment and provide the opportunity to clearly assess and record the parameters of the initial general population for further comparison with the results of different types of samples. The musical compositions had two parameters: the name of the performer for identification and the duration of the track for digital and statistical evaluation. The analysis was carried out using a specially developed program for statistical data analysis. The collected data allowed for the assessment of the average track duration, median, skewness, standard deviation, and other statistical indicators.The results of the experiment showed that the quota sample provides more accurate results when the quotas are followed during the selection of elements of the general population. The sample obtained by random selection without adhering to quotas showed greater variability in indicators such as mean, median, skewness, and standard deviation relative to the general population. Thus, it was concluded that quota samples have advantages in sociological research, especially when specific groups of the population need to be considered.The author emphasizes the need for further research and improvement of quota sampling methods to enhance the accuracy and reliability of sociological studies, which are important for examining particular social issues. (shrink)

Robust technology infrastructure is needed to enable learning health care systems to improve quality, access, and cost. Such infrastructure relies on the trust and confidence of individuals to share their health data for healthcare and research. Few studies have addressed consumers’ views on electronic data sharing and fewer still have explored the dual purposes of healthcare and research together. The objective of the study is to explore factors that affect consumers’ willingness to share electronic health information for healthcare and research. (...) This study involved a random-digit dial telephone survey of 800 adult Californians conducted in English and Spanish. Logistic regression was performed using backward selection to test for significant associations of each explanatory variable with the outcome variable. The odds of consent for electronic data sharing for healthcare decreased as Likert scale ratings for EHR impact on privacy worsened, odds ratio = 0.74, 95% CI [0.60, 0.90]; security, OR = 0.80, 95% CI [0.66, 0.98]; and quality, OR = 0.59, 95% CI [0.46–0.75]. The odds of consent for sharing for research was greater for those who think EHR will improve research quality, OR = 11.26, 95% CI [4.13, 30.73]; those who value research benefit over privacy OR = 2.72, 95% CI [1.55, 4.78]; and those who value control over research benefit OR = 0.49, 95% CI [0.26, 0.94]. Consumers’ choices about electronically sharing health information are affected by their attitudes toward EHRs as well as beliefs about research benefit and individual control. Design of person-centered interventions utilizing electronically collected health information, and policies regarding data sharing should address these values of importance to people. Understanding of these perspectives is critical for leveraging health data to support learning health care systems. (shrink)

The Tuskegee Syphilis Study is often cited as a major reason for low research participation rates among racial/ethnic minorities. We use data from a random-digit-dial telephone survey of 510 African Americans and 253 Latinos drawn from low income Los Angeles neighborhoods to investigate associations between knowledge of the study and endorsement of HIV/aids conspiracy theories. Results indicate African Americans were significantly more likely than Latinos to endorse HIV/aids conspiracy theories and were more aware of the study. Nevertheless, few Americans (...) and Latinos had ever heard of Syphilis Study suggesting that awareness is not a major factor in low participation rates. (shrink)

Background Outbreaks of infectious disease cause serious and costly health and social problems. Two new technologies – pathogen whole genome sequencing and Big Data analytics – promise to improve our capacity to detect and control outbreaks earlier, saving lives and resources. However, routinely using these technologies to capture more detailed and specific personal information could be perceived as intrusive and a threat to privacy. Method Four community juries were convened in two demographically different Sydney municipalities and two regional cities in (...) New South Wales, Australia to elicit the views of well-informed community members on the acceptability and legitimacy of: making pathogen WGS and linked administrative data available for public health researchusing this information in concert with data linkage and machine learning to enhance communicable disease surveillance systems Fifty participants of diverse backgrounds, mixed genders and ages were recruited by random-digit-dialling and topic-blinded social-media advertising. Each jury was presented with balanced factual evidence supporting different expert perspectives on the potential benefits and costs of technologically enhanced public health research and communicable disease surveillance and given the opportunity to question experts. Results Almost all jurors supported data linkage and WGS on routinely collected patient isolates for the purposes of public health research, provided standard de-identification practices were applied. However, allowing this information to be operationalised as a syndromic surveillance system was highly contentious with three juries voting in favour, and one against by narrow margins. For those in favour, support depended on several conditions related to system oversight and security being met. Those against were concerned about loss of privacy and did not trust Australian governments to run secure and effective systems. Conclusions Participants across all four events strongly supported the introduction of data linkage and pathogenomics to public health research under current research governance structures. Combining pathogen WGS with event-based data surveillance systems, however, is likely to be controversial because of a lack of public trust, even when the potential public health benefits are clear. Any suggestion of private sector involvement or commercialisation of WGS or surveillance data was unanimously rejected. (shrink)

Societal concerns dictate the need for animal welfare standards and legislation. The public and livestock producers often differ on their views of livestock welfare, and failure to meet public expectations may threaten the “social license to operate” increasing the cost of production and hampering the success of the industry. This study examined public and producer attitudes toward common practices and animal welfare issues in the Australian red meat industry, knowledge of these practices, and public and producer trust in people working (...) the red meat industry using an Australia-wide survey of both the general public and red meat producers. Public participants were recruited using a random digit dialing telephone survey while the red meat producers were randomly selected within a curated database of Australian red meat producers. After controlling for gender and age, there were marked differences between public and producer respondents in 20 of the 27 attitude, trust and knowledge variables studied. Producers reported more positive beliefs in the conditions provided for sheep and beef cattle during sea and land transport, the husbandry practices used in the red meat industry, and red meat attributes regarding human health, environmental impact, animal use and animal welfare. Both public and producers reported similar levels of trust in conventional and commercial media and had similar beliefs about animal rights, prevention of animal cruelty and balancing the welfare of people and animals. The results indicate a polarization between the public and livestock producers in their attitudes toward animal welfare, knowledge of husbandry practices and trust in livestock people. (shrink)

: Although "brain death" and the dead donor rule—i.e., patients must not be killed by organ retrieval—have been clinically and legally accepted in the U.S. as prerequisites to organ removal, there is little data about public attitudes and beliefs concerning these matters. To examine the public attitudes and beliefs about the determination of death and its relationship to organ transplantation, 1351 Ohio residents ≥18 years were randomly selected and surveyed using random digit dialing (RDD) sample frames. The RDD telephone (...) survey was conducted using computer-assisted telephone interviews. The survey instrument was developed from information provided by 12 focus groups and a pilot study of the questionnaire. Three scenarios based on hypothetical patients were presented: "brain dead," in a coma, or in a persistent vegetative state (PVS). Respondents provided personal assessments of whether the patient in each scenario was dead and their willingness to donate that patient's organs in these circumstances. More than 98 percent of respondents had heard of the term "brain death," but only one-third (33.7%) believed that someone who was "brain dead" was legally dead. The majority of respondents (86.2%) identified the "brain-dead" patient in the first scenario as dead, 57.2 percent identified the patient in a coma as dead (Scenario 2), and 34.1 percent identified the patient in a PVS as dead (Scenario 3). Nearly one-third (33.5%) were willing to donate the organs of patients they classified as alive for at least one scenario, in seeming violation of the dead donor rule. Most respondents were not willing to violate the dead donor rule, although a substantial minority was. However, the majority of respondents were unaware, misinformed, or held beliefs that were not congruent with current definitions of "brain death." This study highlights the need for more public dialogue and education about "brain death" and organ donation. (shrink)

Surveys are used extensively in social research and, despite a lack of conclusive evidence of their ‘representativeness,’ probability internet panel surveys are being increasingly used to make inferences about knowledge, attitude and behavior in the general population regarding a range of socially relevant issues. A large-scale survey of Australian public attitudes and behavior toward the red meat industry was undertaken. Samples were obtained using a random digit dialing telephone survey and a PIP survey to examine differences between the two (...) samples regarding attitudes and behavior relating to livestock use and welfare. There was little difference in demographics between the CATI and the PANEL surveys apart from highest level of education. However, there were differences between the two samples in both attitudes and behavior toward the red meat industry after controlling for education levels. The PANEL respondents gave generally more conservative responses than did the CATI respondents in the sense that they were more positive toward the livestock industries and animal welfare within these industries. Differences were also found between the respondents of the two samples regarding behavior that relates to the red meat industry, both community and consumer behavior. PANEL respondents were less engaged in community behaviors performed in opposition of the red meat industry when compared with the CATI sample. The majority of CATI and PANEL respondents were red meat eaters and there was no difference between respondents of the two samples in relation to red meat consumption, however, there were fewer vegetarians and vegans in the PANEL survey. Possible reasons for the observed differences are discussed, however, a definitive answer will depend on further research to identify the specific psychological factors that differ between samples derived from different survey methodologies. (shrink)

Previous studies have found that narrative input conveyed through different media influences the structure and content of children’s narrative retellings. Visual, televised narratives appear to elicit richer and more detailed narratives than traditional, orally transmitted storybook media. To extend this prior work and drawing from research on narrative elaboration, the current study’s main goal was to identify the core plot component differences (the who, what, where, when, why, and how of a story) between children’s retellings of televised versus traditional storybook (...) narratives. However, because children also differ individually in their IQ, we further incorporated this variable into our analysis of children’s narrative retellings. For our purpose, a novel coding schema was developed, following and extending the existing narrative elaboration approaches. Participants were 46 typically developing children aged 4–5 years from Germany. The current study incorporated two narrative input conditions to which children were randomly assigned: in the video condition, children watched a non-verbal, visually conveyed, televised story from a DVD; and in the book condition, children read the story with an adult and experienced an orally conveyed version in the form of a book with minimal accompanying pictures. In both conditions, the same story was conveyed. After including IQ as a covariate in our analyses, results show that the children from the video condition gave significantly more elaborated retellings, particularly across the who, what, and where (sub-)components. Differences between the conditions in the component when, how and why did not reach statistical significance. Our findings indicate that different media types entail differential cognitive processing demands of a story, resulting in type-specific memories and narratives. The effect of different medial conditions was significant and persisted when individual differences in cognitive development were considered. Consequences for children’s development, education, and interaction with and within today’s digital world are discussed. (shrink)

Objective To determine the public's understanding of and views about a range of ethical issues in relation to death and dying. Design Random, digit-dialling, telephone interview Setting Ireland. Participants 667 adult individuals. Results The general public are unfamiliar with terms associated with end-of-life care. Although most want to be informed if they have a terminal illness, they also value family support in this regard. Most of the respondents believe that competent patients have the right to refuse life-saving treatment. Most (...) also (mistakenly) believe that families, either alone or with physicians, have the authority to make decisions about starting or stopping treatment for incompetent patients. Most Irish people are more concerned about the quality of their dying than death itself. Religious commitment is important to most Irish people, and this impacts on their views about medical treatment and care at the end of life. Conclusions The study paints a picture of a general public that is not very comfortable with or informed about the processes of dying and death. Great sensitivity is required of health professionals who must negotiate the timing and the context of breaking of bad news with patients and families. Educational interventions, public and organisational policies and legislation need to address the uncertainty that surrounds the role of professionals and families in making decisions for dying patients. (shrink)

Background Despite the bourgeoning of digital tools for bioethics research, education, and engagement, little research has empirically investigated the impact of interactive visualizations as a way to translate ethical frameworks and guidelines. To date, most frameworks take the format of text-only documents that outline and offer ethical guidance on specific contexts. This study’s goal was to determine whether an interactive-visual format supports frameworks in transferring ethical knowledge by improving learning, deliberation, and user experience.Methods An experimental comparative study was conducted with (...) a pre-, mid-, and post-test design using the online survey platform Qualtrics. Participants were university based early-stage health researchers who were randomly assigned to either the control condition (text-only document) or the experimental condition (interactive-visual). The primary outcome variables were learning, (measured using a questionnaire), deliberation (using cases studies) and user experience (measured using the SED/UD Scale). Analysis was conducted using descriptive statistics and mixed-effects linear regression.Results Of the 80 participants, 44 (55%) used the text-only document and 36 (45%) used the interactive-visual. Results of the knowledge-test scores showed a statistically significant difference between participants’ post-test scores, indicating that the interactive-visual format better supported understanding, acquisition, and application of the framework’s knowledge. Findings from the case studies showed both formats supported ethical deliberation. Results further indicated the interactive-visual provided an overall better episodic and remembered user experience compared with the text-only document.Conclusions Our findings show that ethical frameworks formatted with interactive and visual qualities provide a more pleasing user experience and are effective formats for ethics learning and deliberation. These findings have implications for practitioners developing and deploying ethical frameworks and guidelines (e.g., in educational or employee-onboarding settings), in that the knowledge generated can lead to more effective dissemination practices of normative guidelines and health data ethics concepts. (shrink)

The improvement of modern computer technology to achieve fundamentally new indicators can be carried out on the basis of various approaches. One of such approaches is the application of methods of physical informatics. Therefore, this paper considers the support of ensuring “digital immortality” based on physical computer science methods. On the basis of Wiener random processes, measures are proposed to ensure the security of computer nodes to ensure “digital immortality”. The calculated ratios from physical informatics adapted to determine the (...) requirements for the design of information systems to ensure the digitalization of the brain are given. (shrink)

This paper argues that instituting Citizen Boards of Governance (CBGs) is the optimal strategy to democratically contain Big Tech’s algorithmic powers in the digital public sphere. CBGs are bodies of randomly selected citizens that are authorized to govern the algorithmic infrastructure of Big Tech platforms. The main advantage of CBGs is to tackle the concentrated powers of private tech corporations without giving too much power to governments. I show why this is a better approach than ordinary state regulation or relying (...) on market mechanisms. My proposal follows from the critique of Big Tech’s concentrated powers, and explains how this justifies democratizing algorithms in the digital public sphere. My approach thus speaks to a core commitment in democratic theory: enhancing the autonomy of the public sphere from the centers of powers in modern societies, be it corporations or governments. (shrink)

Digital computers are by design completely deterministic, yet they are often consumers of randomness in cryptography, simulations, science experiments and computer games. To generate randomness in software, programmers implement special mathematical algorithms, which produce a series of numbers that appear nondeterministic, so called pseudo random number generators (PRNGs). Computer games make heavy use of such PRNGs to make game simulations and behaviors of game elements appear more natural. An important design element of many video games is game physics, the (...) simulation of physical reality in video games. Generally overlooked by game developers, is the fact that randomness based on PRNGs are mere simulations themselves and randomness is not treated as a physical property of reality, and thus a form of game physics. Since the dynamics of the very small and the very complex invariably contains randomness, the author suggests this can be used to extend to the scope of game physics by defining two new game physics elements: 1. providing physics based random data to games or interactive media and 2. extracting true randomness from game-player interactions themselves. (shrink)

Firms are increasingly personalising their offers and services, leading to an ever finer-grained segmentation of consumers online. Targeted online advertising and online price discrimination are salient examples of this development. While personalisation's overall effects on consumer welfare are expectably ambiguous, it can lead to concentration in the distribution of advertising and commercial offers. Constellations are possible in which a market is generally open to competition, but the targeted consumer is only made aware of one possible seller. For the consumer, such (...) a market could effectively resemble a monopoly. We call such extreme cases ‘targeting pockets’. Competition-law metrics such as the Herfindahl–Hirschman Index and traditional means of public oversight of adverts would not detect this concentration. We, therefore, suggest a novel metric, the Concentration-after-Personalisation Index (CAPI). The CAPI treats every consumer as a separate ‘market’, computes a measure of concentration for personalised adverts and offers for each individual consumer separately, and then averages the result to measure the exposure experienced by an average consumer. We demonstrate how the CAPI can serve as a monitoring tool for regulators and auditors and thus help to enforce existing consumer law as well as proposed new regulations such as the European Union's Digital Services Act and its Artificial Intelligence Act. We further show how adding noise via randomly distributed non-personalised adverts can dilute the potential harm of overly concentrated personalisation. We demonstrate how the CAPI can identify the optimal degree of added noise, balancing the protection of consumer choice with the economic interests of advertisers. (shrink)

Imagine that there exists a good, essentially omniscient and omnipotent being named Jove, and that there exists nothing else. No possible being is more powerful or knowledgable. Out of his goodness, Jove decides to create. Since he is all-powerful, there is nothing but the bounds of possibility to prevent him from getting what he wants. Unfortunately, as he holds before his mind the host of worlds, Jove sees that for each there is a better one. Although he can create any (...) of them, he can't create the best of them because there is no best. Faced with this predicament, Jove first sorts the worlds according to certain criteria. For example, he puts on his left worlds in which some inhabitants live lives that aren't worth living and on his right worlds in which every inhabitant's life is worth living; he puts on his left worlds in which some horrors fail to serve an outweighing good and on his right worlds in which no horror fails to serve an outweighing good. (We encourage the reader to use her own criteria.) Then he orders the right hand worlds according to their goodness and assigns to each a positive natural number, the worst of the lot receiving '1', the second worst '2', and so on. Next, he creates a very intricate device that, at the push of a button, will randomly select a number and produce the corresponding world. Jove pushes the button; the device hums and whirs and, finally, its digital display reads '777': world no. 777 comes into being. (shrink)

The challenge of this work is to connect physics with the concept of intelligence. By intelligence we understand a capability to move from disorder to order without external resources, i.e., in violation of the second law of thermodynamics. The objective is to find such a mathematical object described by ODE that possesses such a capability. The proposed approach is based upon modification of the Madelung version of the Schrodinger equation by replacing the force following from quantum potential with non-conservative forces (...) that link to the concept of information. A mathematical formalism suggests that a hypothetical intelligent particle, besides the capability to move against the second law of thermodynamics, acquires such properties like self-image, self-awareness, self-supervision, etc. that are typical for Livings. However since this particle being a quantum-classical hybrid acquires non-Newtonian and non-quantum properties, it does not belong to the physics matter as we know it: the modern physics should be complemented with the concept of the information force that represents a bridge to intelligent particle. As a follow-up of the proposed concept, the following question is addressed: can artificial intelligence system composed only of physical components compete with a human? The answer is proven to be negative if the AI system is based only on simulations, and positive if digital devices are included. It has been demonstrated that there exists such a quantum neural net that performs simulations combined with digital punctuations. The universality of this quantum-classical hybrid is in capability to violate the second law of thermodynamics by moving from disorder to order without external resources. This advanced capability is illustrated by examples. In conclusion, a mathematical machinery of the perception that is the fundamental part of a cognition process as well as intelligence is introduced and discussed. (shrink)

The aims of this study were to examine the effectiveness of a range of smartphone apps for managing symptoms of anxiety and depression and to assess the utility of a single-case research design for enhancing the evidence base for this mode of treatment delivery. The study was serendipitously impacted by the COVID-19 pandemic, which allowed for effectiveness to be additionally observed in the context of significant community distress. A pilot study was initially conducted using theSuperBetter app to evaluate the proposed (...) methodology, which proved successful with the four finishing participants. In the main study, 39 participants commenced, with 29 finishing the intervention phase and completing post-intervention measures. At 6-month follow-up, a further three participants could not be contacted. This study used a digitally enhanced, multiple baseline across-individuals single-case research design. Participants were randomly assigned to the following apps:SuperBetter,Smiling Mind,MoodMission,MindShift, andDestressify. Symptomatology and life functioning were measured at five different time points: pre-baseline/screening, baseline, intervention, 3-week post-intervention, and 6-month follow-up. Detailed individual perceptions and subjective ratings of the apps were also obtained from participants following the study’s completion. Data were analyzed using visual inspection, time-series analysis, and methods of statistical and clinical significance. Positive results were observed for all apps. Overall, more favorable outcomes were achieved by younger participants, those concurrently undertaking psychotherapy and/or psychotropic medication, those with anxiety and mixed anxiety and depression rather than stand-alone depression, and those with a shorter history of mental illness. Outcomes were generally maintained at 6-month follow-up. It was concluded that a diverse range of evidence-based therapies offered via apps can be effective in managing mental health and improving life functioning even during times of significant global unrest and, like all psychotherapies, are influenced by client features. Additionally, this single-case research design is a low-cost/high value means of assessing the effectiveness of mental health apps.Clinical Trial Registration: The study is registered with the Australian and New Zealand Clinical Trials Registry, which is a primary registry in the World Health Organization Registry Network, registration number ACTRN12619001302145p. (shrink)

When engaging with a textbook, students are inclined to highlight key content. Although students believe that highlighting and subsequent review of the highlights will further their educational goals, the psychological literature provides little evidence of benefits. Nonetheless, a student’s choice of text for highlighting may serve as a window into her mental state—her level of comprehension, grasp of the key ideas, reading goals, and so on. We explore this hypothesis via an experiment in which 400 participants read three sections from (...) a college‐level biology text, briefly reviewed the text, and then took a quiz on the material. During initial reading, participants were able to highlight words, phrases, and sentences, and these highlights were displayed along with the complete text during the subsequent review. Consistent with past research, the amount of highlighted material is unrelated to quiz performance. Nonetheless, highlighting patterns may allow us to infer reader comprehension and interests. Using multiple representations of the highlighting patterns, we built probabilistic models to predict quiz performance and matrix factorization models to predict what content would be highlighted in one passage from highlights in other passages. We find that quiz score prediction accuracy reliably improves with the inclusion of highlighting data (by about 1%–2%), both for held‐out students and for held‐out student questions (i.e., questions selected randomly for each student), but not for held‐out questions. Furthermore, an individual’s highlighting pattern is informative of what she highlights elsewhere. Our long‐term goal is to design digital textbooks that serve not only as conduits of information into the reader’s mind but also allow us to draw inferences about the reader at a point where interventions may increase the effectiveness of the material. (shrink)

The article examines the problem of ensuring the political stability of a democratic social system with a shortage of a vital commodity (like vaccine against COVID-19). In such a system, members of society citizens assess the authorities. Thus, actions by the authorities to increase the supply of this commodity can contribute to citizens' approval and hence political stability. However, this supply is influenced by random factors, the actions of competitors, etc. Therefore, citizens do not have sufficient information about all (...) the possibilities of supplying, and it is difficult for them to make the right decisions. Such citizen unawareness can be exploited by unscrupulous politicians to achieve personal targets. Therefore, it is necessary to organize public control to motivate politicians to use all available opportunities in supplying. The goal of the paper is to build such a digital mechanism of public control of the politicians by citizens, which would best assess and stimulate the activities of the authorities to improve the supply of a vital commodity. In the age of artificial intelligence, such digital public control in the face of uncertainty can be based on digital machine learning. In addition, it is necessary to take into account and model the activities of politicians associated with the presence of their own targets that do not coincide with public ones. Such politicians can use the learning of citizens for their own targets. The objective of the article is to build an optimal digital mechanism of public control in a two-level model of a democratic social system—a digital society. At its top level, there is the Citizen, who gives an assessment for the Politico located at the lower level. In turn, the Politico can influence the supplying of a vital commodity. Political stability is guaranteed if the Citizen regularly approves of the Politico’s actions to increase this supply. However, the Politico may not use the opportunities available to him to offer a commodity to achieve a personal target. To avoid this, the Politico’s control mechanism is proposed. It includes the procedure for digital learning of the Citizen, as well as a procedure for assessing the Politico activity. Sufficient conditions have been found for the synthesis of such the Politico’s control mechanism, at which stochastic possibilities of increasing the supply of a vital commodity are used. The example of such the Politico’s control mechanism is considered on the case of supply of the COVID-19 vaccine in England. (shrink)

The present study assessed the language teachers' pedagogical beliefs and orientations in integrating technology in the online classroom and its effect on students' motivation and engagement. It utilized a cross-sectional correlational research survey. The study respondents were the randomly sampled 205 language teachers (μ= 437, n= 205) and 317 language students (μ= 1800, n= 317) of select higher educational institutions in the Philippines. The study results revealed that respondents hold positive pedagogical beliefs and orientations using technology-based teaching in their language (...) classroom. Test of difference showed that female teachers manifested a firmer belief in student-centered online language teaching than their male counterparts. However, the utilization and attitude towards technology in the language classroom is favorably associated with the male teachers. As to students' level of language learning motivation and engagement, it was found out that male and female students have high level of language learning engagement. Further, the test of relationship showed that the higher the teachers' belief in utilizing student-centered teaching to integrate technology in the language classroom, the higher the students are motivated and engaged in learning. In like manner, it was also revealed that teacher-centered belief is negatively correlated to student’s motivation and engagement in online language learning. In this regard, the pedagogical assumptions that hold EFL teachers positively to integrate technology in the language classroom. This study generally offers implications for enhancing language teacher's digital literacy to promote motivating, fruitful, and engaging language lessons for 21ts century learning. (shrink)

The present study investigated the impacts of mobile assisted vocabulary learning via digital flashcards. The data were collected from 44 adult English as Foreign Language learners in three intact classes in a private language teaching institute in Iran, randomly assigned to experimental and control learning conditions. The experimental group used a freely available DF application to learn items from a recently developed corpus-based word list for high-frequency vocabulary in English. The treatment was implemented as out-of-the-classroom learning activities where the EFL (...) learners used DFs to augment their vocabulary knowledge, and their learning gains were compared to the control group that received regular English language education. The participants’ vocabulary knowledge was tested in pre-, post-, and delayed post-tests, and the findings indicated that using DFs for outside the classroom vocabulary learning contributed significantly to short- and long-term improvements in the knowledge of high-frequency words. The study provided empirical evidence for the affordances of mobile assisted vocabulary learning for learning a considerable proportion of core vocabulary and has some implications for addressing the vocabulary learning needs of EFL learners. (shrink)

This poster presents results from applying agent-based modeling to an exploration of risk attitudes and rational decision making in the context of group interaction. We are also interested in the place of agent-based modeling and computational philosophy within the computational humanities. Computational philosophy has not typically been included in Digital Humanities; computational work has been done using philosophy texts as a source for analysis (Kinney 2022; Malaterre et al. 2021; Fletcher et al. 2021; Zahorec et al. 2022), but there are (...) few examples of philosophical arguments being made based on computation (Zahorec et al. 2022). Modeling is largely accepted as a computational humanist method (McCarty 2004; So 2022), but typically models are based on data rather than designed simulations as a method analogous to a thought experiment (Mayo-Wilson / Zollman 2021). Agent-based modeling is not as common in computational humanities, but we are interested in its potential; for instance, see work modeling correspondence networks to better understand lost information and biases in correspondence data sets (Buarque / Vogl 2023), or work simulating past human societies (Romanowska et al. 2021). Our project explores Lara Buchak’s theory of risk-weighted rational decision making by extending it to the context of group populations and interactions. Buchak has proposed risk-weighted expected utility maximization, which incorporates individual risk attitudes into the standard expected utility (EU) calculation based on utility and probability of outcomes (Buchak 2017). This theory provides an explanation for differences of behavior seen in human populations, while still allowing those different choices to be rational. Buchak’s theory has previously only been applied to individual decision making; our work uses agent-based modeling to develop and analyze simulations which incorporate a variety of risk attitudes (risk avoidance and risk seeking) into game theoretic interactions. This project is a collaboration between a philosopher and a research software engineer; we have worked together to develop simulations that implement agents with risk attitudes making risky choices. This presentation focuses on results from an implementation of a hawk/dove game with multiple risk attitudes and risk attitude adjustment. In the hawk/dove game cooperation, or playing dove, is better for the population, but acting aggressively, or playing hawk, is better for an individual if they are in a neighborhood of doves. To set up the game, we place agents on a grid and have them play against each of their neighbors, and accumulate payoffs based on the success of their plays. We define risk attitudes 0 through 9, where that number corresponds to the minimum number of neighbors playing dove for an agent to play hawk. An agent with risk attitude 0 is most risk seeking and always plays hawk; an agent with risk attitude 1 will play hawk if at least one neighbor plays dove; an agent with risk attitude 9 always takes the safe choice and plays dove; an agent with risk attitude 4 or 5 is risk neutral (breaking ties in different ways), which corresponds to expected utility. In this simulation we randomly set agent initial risk attitudes, and then every ten rounds agents compare their payoffs with their neighbors and adopt the most successful risk attitude in their neighborhood. The simulation is coded to stop once risk attitude adjustments stabilize. We define 13 different population states based on primary and second majority of risk averse, risk inclined, or risk moderate, and analysis of over 1 million runs indicate that while it’s more likely to stabilize with the population having become majority risk inclined, that is not the only outcome; we also see cases where the population stabilizes as risk neutral, risk avoidant, and many cases with no clear majority. This diversity of stable populations provides support for the argument that no one risk attitude is uniquely rational, but rather that risk attitudes are conventional. This matches what we observe in the real world: that different populations have different risk attitudes. Our simulations include numerous parameters to vary grid size; adjustment frequency, strategy, and wealth comparison; neighborhood sizes for observing previous choice, playing against, and comparing payoffs for adjusting risk attitudes; and different distributions for initializing risk attitudes. Analysis of parameters and adjusted risk attitudes shows that the strongest correlations are the initial distribution of risk attitudes, which tend to be preserved. * * * This poster was accepted and presented at the DH2024 conference in Washington, D.C. (shrink)

Journalists differ in the degree to which they have adopted the Internet professionally. While earlier studies were predominantly descriptive, this study explains why journalists differ in the amount and nature of their use of the Internet. Based on a random sample of members of the Dutch Association of Journalists, results indicate that the digital divide in terms of demographic characteristics is absent. The perceived functionality of the Internet as a professional tool is the most important explanatory factor for the (...) use of the Internet. Surprisingly, professional attitudes towards journalistic quality are not reflected in journalists' use of the Internet. (shrink)

Recently, dynamic text presentation, such as scrolling text, has been widely used. Texts are often presented at constant timing and speed in conventional dynamic text presentation. However, dynamic text presentation enables visually presented texts to indicate timing information, such as prosody, and the texts might influence the impression of reading. In this paper, we examined this possibility by focusing on the temporal features of digital text in which texts are represented sequentially and with varying speed, duration, and timing. We call (...) this “textual prosody.” We used three types of textual prosody: “Recorded,” “Shuffled,” and “Constant.” Recorded prosody is the reproduction of a reader’s reading with pauses and varying speed that simulates talking. Shuffled prosody randomly shuffles the time course of speed and pauses in the recorded type. Constant prosody has a constant presentation speed and provides no timing information. Experiment 1 examined the effect of textual prosody on people with normal hearing. Participants read dynamic text with textual prosody silently and rated their impressions of texts. The results showed that readers with normal hearing preferred recorded textual prosody and constant prosody at the optimum speed. Recorded prosody was also preferred at a low presentation speed. Experiment 2 examined the characteristics of textual prosody using an articulatory suppression paradigm. The results showed that some textual prosody was stored in the articulatory loop despite it being presented visually. In Experiment 3, we examined the effect of textual prosody with readers with hearing loss. The results demonstrated that readers with hearing loss had positive impressions at relatively low presentation speeds when the recorded prosody was presented. The results of this study indicate that the temporal structure is processed regardless of whether the input is visual or auditory. Moreover, these results suggest that textual prosody can enrich reading not only in people with normal hearing but also in those with hearing loss, regardless of acoustic experiences. (shrink)

Craig Nelson, the author of this unflaggingly engrossing book, comes from an impressive background in publishing, having been vice president and executive editor of Harper and Row, Hyperion, and Random House. In this respect, he reminds me of the better known Walter Isaacson, who was managing editor of Time magazine before turning his attention to writing biographies of Einstein, Steve Jobs, and Ben Franklin, and, most recently, a collective biography of the pioneers of the digital revolution. Although I reach (...) this conclusion on the basis of having read only one book by each, I would say that Isaacson’s oeuvre is more scholarly, Nelson’s more journalistic. A review in the New York Times of Nelson’s bestseller Rocket Men informs would-be readers that while the book “lacks the shapeliness and authority of some earlier lunar histories,…it ends up making an engaging contribution.” Comparing The Age of Radiance to the many similar histories of radioactivity and the making of the bomb that I .. (shrink)

Avon Longitudinal Study of Parents and Children is a birth cohort study within which the Project to Enhance ALSPAC through Record Linkage was established to enrich the ALSPAC resource through linkage between ALSPAC participants and routine sources of health and social data. PEARL incorporated qualitative research to seek the views of young people about data linkage, including their opinions about appropriate safeguards and research governance. In this paper we focus on views expressed about the purpose and composition of research ethics (...) committees. Digitally recorded interviews were conducted with 48 participants aged 17–19 years. Participants were asked about whether medical research should be monitored and controlled, their knowledge of research ethics committees, who should sit on these committees and what their role should be. Interview recordings were fully transcribed and anonymised. Thematic analysis was undertaken, assisted by the Framework approach to data management. The majority of interviewees had little or no specific knowledge of ethics committees. Once given basic information about research ethics committees, only three respondents suggested there was no need for such bodies to scrutinise research. The key tasks of ethics committees were identified as monitoring the research process and protecting research participants. The difficulty of balancing the potential to inhibit research against the need to protect research participants was acknowledged. The importance of relevant research and professional expertise was identified but it was also considered important to represent wider public opinion, and to counter the bias potentially associated with self-selection possibly through a selection process similar to ‘jury duty’. There is a need for more education and public awareness about the role and composition of research ethics committees. Despite an initial lack of knowledge, interviewees were able to contribute their ideas and balance the rights of individuals with the wider benefits from research. The suggestion that public opinion should be represented through random selection similar to jury duty may be worth pursuing in the light of the need to ensure diversity of opinion and establish trust amongst the general public about the use of ‘big data’ for the wider public good. (shrink)

In an article published in this journal in 1996, I surveyed number stylization in monetary amounts recorded in Roman-era literature up to the Severan period. I argued that certain leading digits such as 1, 3 and 4 were heavily over-represented in the evidence. For the limited samples I used at the time these findings are not in need of revision. However, as I show here, a more inclusive approach to the material produces a substantially different picture. The most significant (...) shortcoming of my study was my failure to take account of the probable distribution of leading digits in a random sample, which may serve as a benchmark for assessing the nature and extent of number preference. While I noted that lower leading digits were inherently more likely to occur than higher ones, I schematically related observed frequencies to an even distribution of leading digits. This benchmarking strategy is invalidated by a widely observed phenomenon known as Benford's Law, according to which leading digits frequently conform to a predictable pattern that greatly favours lower over higher numbers. This is true in particular if observations are spread across several orders of magnitude. Ancient monetary valuations satisfy this condition since recorded amounts range from single digits to hundreds of millions. Yet, to the best of my knowledge, Benford's Law has never been applied to the study of these data. (shrink)

Background Previous reports have described that simple cognitive training using reading aloud and solving simple arithmetic calculations, so-called “learning therapy”, can improve executive functions and processing speed in the older adults. Nevertheless, it is not well-known whether learning therapy improve a wide range of cognitive functions or not. We investigated the beneficial effects of learning therapy on various cognitive functions in healthy older adults. Methods We used a single-blinded intervention with two groups (learning therapy group: LT and waiting list control (...) group: WL). Sixty-four elderly were randomly assigned to LT or WL. In LT, participants performed reading Japanese aloud and solving simple calculations training tasks for 6 months. WL did not participate in the intervention. We measured several cognitive functions before and after 6 months intervention periods. Results Compared to WL, results revealed that LT improved inhibition performance in executive functions (Stroop: LT (Mean = 3.88) vs. WL (Mean = 1.22), adjusted p =.013 and reverse Stroop LT (Mean = 3.22) vs. WL (Mean = 1.59), adjusted p =.015), verbal episodic memory (logical memory: LT (Mean = 4.59) vs. WL (Mean = 2.47), adjusted p =.015), focus attention(D-CAT: LT (Mean = 2.09) vs. WL (Mean = -0.59), adjusted p =.010) and processing speed compared to the waiting list control group (digit symbol coding: LT (Mean = 5.00) vs. WL (Mean = 1.13), adjusted p =.015 and symbol search: LT (Mean = 3.47) vs. WL (Mean = 1.81), adjusted p =.014). Discussion This RCT can showed the benefit of learning therapy on inhibition of executive functions, verbal episodic memory, focus attention, and processing speed in healthy elderly people. Our results were discussed under overlapping hypothesis. Trial registration “This trial was registered in The University Hospital Medical Information Network Clinical Trials Registry (UMIN000006998).”. (shrink)

Biological evolution is often viewed narrowly as a change of morphology or allele frequency in a sequence of generations. Here I pursue an alternative informational concept of evolution, as preservation, advance, and emergence of functional information in natural agents. Functional information is a network of signs that are used by agents to preserve and regulate their functions. Functional information is preserved in evolution via complex interplay of copying and construction processes: the digital components are copied, whereas interpreting subagents together with (...) scaffolds, tools, and resources, are constructed. Some of these processes are simple and invariant, whereas others are complex and contextual. Advance of functional information includes improvement and modification of already existing functions. Although the genome information may change passively and randomly, the interpretation is active and guided by the logic of agent behavior and embryonic development. Emergence of new functions is based on the reinterpretation of already existing information, when old tools, resources, and control algorithms are adopted for novel functions. Evolution of functional information progressed from protosemiosis, where signs correspond directly to actions, to eusemiosis, where agents associate signs with objects. Language is the most advanced form of eusemiosis, where the knowledge of objects and models is communicated between agents. (shrink)

Although the question 'Does psi exist?' has become a recurrent and intransigent problem for psychological science, seen from a historical and social context, there appear to be reasons as to why no determined effort has been made to resolve the question. The sporadic exchanges from parapsychologists and critics appear only to reinforce the status quo: At most, it is agreed that some form of 'anomaly' has been established but there is no consensus about its nature. Yet such a defeatist stance (...) shies away from the long tradition of research into spontaneous phenomena, as well as experimental research with dreams and hypnosis, all of which suggests that, if psi is real, it is not just an anomaly but has true information content and dynamic effects. This work is briefly reviewed and then, since much of the current controversy has centred on the ganzfeld technique, this is used as an example of the issues involved. The ganzfeld induces sleep-onset imagery during which randomly selected film clips are viewed by a sender as a source of psi-mediated information to be incorporated into the imagery. Our current development of the ganzfeld technique, known as the digital autoganzfeld, takes the work beyond 'anomaly status' since it enables real-time recordings to be made of apparently high-quality psi as it enters consciousness. Initial findings from this illustrate the complexity of the phenomena and the need for more adventurous designs in order to stimulate theory development. There is no doubt that technology now exists which would enable us to resolve the issues raised. Whether the area turns out to be a mixture of rampant fraud, artefact and subjective validation or to present genuine phenomena, a resolution of the issue may be seen as having unwanted implications for psychology -- which may be one of the factors explaining why the controversy is left to continue as it is, unresolved. New questions are needed which take into account the natural context in which psi appears to occur, along with the support needed to reach clear answers. (shrink)

A long-standing challenge to evolutionary theory has been whether it can explain the origin of complex organismal features. We examined this issue using digital organisms—computer programs that self-replicate, mutate, compete and evolve. Populations of digital organisms often evolved the ability to perform complex logic functions requiring the coordinated execution of many genomic instructions. Complex functions evolved by building on simpler functions that had evolved earlier, provided that these were also selectively favoured. However, no particular intermediate stage was essential for evolving (...) complex functions. The first genotypes able to perform complex functions differed from their non-performing parents by only one or two mutations, but differed from the ancestor by many mutations that were also crucial to the new functions. In some cases, mutations that were deleterious when they appeared served as stepping-stones in the evolution of complex features. These findings show how complex functions can originate by random mutation and natural selection. (shrink)

Grapheme-colour synaesthetes experience unusual colour percepts when they encounter letters and/or digits. Studies of English-speaking grapheme-colour synaesthetes have shown that synaesthetic colours are sometimes triggered by rule-based linguistic mechanisms . In contrast, little is known about synaesthesia in logographic languages such as Chinese. The current study shows the mechanisms by which synaesthetic speakers of Chinese colour their language. One hypothesis is that Chinese characters might be coloured by their constituent morphological units, known as radicals, and we tested this by (...) eliciting synaesthetic colours for characters while manipulating features of the radicals within them. We found that both the function and position of radicals influence the nature of the synaesthetic colour generated. Our data show that in Chinese, as in English, synaesthetic colours are influenced by systematic rules, rather than by random associations, and that these rules are based on existing psycholinguistic mechanisms of language processing. (shrink)

The phenomenon of perceptual persistence after the motion stops in shape-from-motion displays was used to study the influence of prior knowledge on the maintenance of a percept in awareness. In SFM displays an object composed of discontinuous line segments are embedded in a background of randomly oriented lines. The object only becomes perceptible when the line segments that compose the object and the lines that compose the background move in counterphase. Critically, once the movement of the line segments stops, the (...) percept of the object persists for a short period of time. In the present study, perceptual persistence for digits exceeded that reported for nonsense shapes composed of the same line segments. This result is taken as evidence that the processes involved in the persistence of SFM, and therefore sustained perception, are sensitive to top-down influences. (shrink)

We describe a broad class of problems, called “uncompromising problems,” which are characterized by the requirement that solutions must perform optimally on each of many test cases. Many of the problems that have long motivated genetic programming research, including the automation of many traditional programming tasks, are uncompromising. We describe and analyze the recently proposed “lexicase” parent selection algorithm and show that it can facilitate the solution of uncompromising problems by genetic programming. Unlike most traditional parent selection techniques, lexicase selection (...) does not base selection on a fitness value that is aggregated over all test cases; rather, it considers test cases one at a time in random order. We present results comparing lexicase selection to more traditional parent selection methods, including standard tournament selection and implicit fitness sharing, on four uncompromising problems: 1) finding terms in finite algebras; 2) designing digital multipliers; 3) counting words in files; and 4) performing symbolic regression of the factorial function. We provide evidence that lexicase selection maintains higher levels of population diversity than other selection methods, which may partially explain its utility as a parent selection algorithm in the context of uncompromising problems. (shrink)