Physicians have developed a number of implicit and explicit approaches to complex medical decisions. Decision analysis is an explicit, quantitative method of clinical decision making that involves the separation of the probabilities of events from their relative values, or utilities. Its use can help physicians make difficult choices in a manner that promotes true patient participation. Decision analysis also provides a framework for the incorporation of data from multiple sources and for the assessment of the impact (...) of uncertain data on the final decision. Although this approach is imperfect, it represents a significant advance in clinical decision making. (shrink)

Modern scholarship on decision behavior dates from the late 1940s. But that scholarship has been preoccupied with two ideas that are much older. One is the notion of expected utility, first articulated in the scholarly literature by Daniel Bernoulli in 1738. In its simplest form, the expected utility concept applies to monetary gambles. Imagine you are asked to choose between two gifts, either gamble G, which you would then play and get either $9 or nothing, or else a simple, (...) direct payment of $3. As shown in the decision tree in figure 10.1, you receive gamble G's $9 payoff if the toss of a fair die yields one or two pips, but you receive nothing otherwise. (In decision trees, choice points are represented by square nodes, chance points by circular nodes.) The expected value or expectation of a gamble is the sum of its payoffs, each weighted (i.e., multiplied) by its probability. Thus, the expected value of G is EV(G) = (1/3)($9) + (2/3)($0) = $3, the same as the direct payment. So, if you generally make decisions like this one so as to maximize expected value, you would be indifferent between the present options. However, if you are like most people, you are not indifferent. Instead, you are risk‐averse, preferring the guaranteed $3. Why? (shrink)

Why do otherwise well-intentioned managers make decisions that have negative social or environmental consequences? To answer this question, the authors combine the literature on construal level theory with the compromise effect to explore the circumstances that lead to seemingly unethical decision-making. The results of two studies suggest that the degree to which managers make high-risk tradeoffs is highly influenced by how they mentally represent the decision context. The authors find that managers are more likely to make seemingly (...) unethical tradeoffs when psychological distance is high (rather than low) and when they are forced to choose between competing alternatives. However, when given the option not to choose, managers better reflect on the consequences of each alternative, and thus become more likely to choose options with less risk of negative consequences. The results suggest that simply offering managers the option not to choose may reduce psychological distance and help organizations avoid seemingly unethical decision-making. (shrink)

Recently, a multinomial process tree model was developed to measure an agent’s consequence sensitivity, norm sensitivity, and generalized inaction/action preferences when making moral decisions (CNI model). However, the CNI model presupposed that an agent considersconsequences—norms—generalizedinaction/actionpreferences sequentially, which is untenable based on recent evidence. Besides, the CNI model generates parameters at the group level based on binary categorical data. Hence, theC/N/Iparameters cannot be used for correlation analyses or other conventional research designs. To solve these limitations, we developed the CAN (...) algorithm to computenormandconsequencesensitivities and overallaction/inactionpreferences algebraically in a parallel manner. We re-analyzed the raw data of the original CNI model to test the methodological predictions. Our results demonstrate that: (1) theCparameter is approximately equal between the CNI model and CAN algorithm; (2) theNparameter under the CNI model approximately equalsN/(1 −C) under the CAN algorithm; (3) theIparameter andAparameter are reversed around 0.5 – the larger theIparameter, the more the generalized inactionversusaction preference and the larger theAparameter, the more overall actionversusinaction preference; (4) tests of differences in parameters between groups with the CNI model and CAN algorithm led to almost the same statistical conclusion; (5) parameters from the CAN algorithm can be used for correlational analyses and multiple comparisons, and this is an advantage over the parameters from the CNI model. The theoretical and methodological implications of our study were also discussed. (shrink)

The study of decision making has traditionally been dominated by axiomatic utility theories. More recently, an alternative approach, which focuses on the micro-mechanisms of the underlying deliberation process, has been shown to account for several "paradoxes" in human choice behavior for which simple utility-based approaches cannot. Decision field theory (DFT) is a cognitive-dynamical model of decision making and preferential choice, built on the fundamental principle that decisions are based on the accumulation of subjective evaluations of (...) choice alternatives until a threshold criterion is met. This article extends the basic DFT framework to the domain of dynamic decision making. DFT-Dynamic is proposed as a new alternative to normative backward induction. Through its attention to the processes underlying planning and deliberation DFT-D provides simple, emergent explanations for violations of choice principles traditionally taken as evidence of irrationality. A recent multistage decision making study is used to showcase the model's efficacy for developing cognitive models of individual strategies. (shrink)

Many decisions involve multiple stages of choices and events, and these decisions can be represented graphically as decision trees. Optimal decision strategies for decision trees are commonly determined by a backward induction analysis that demands adherence to three fundamental consistency principles: dynamic, consequential, and strategic. Previous research found that decision-makers tend to exhibit violations of dynamic and strategic consistency at rates significantly higher than choice inconsistency across various levels of potential reward. The current research extends these (...) findings under new conditions; specifically, it explores the extent to which these principles are violated as a function of the planning horizon length of the decision tree. Results from two experiments suggest that dynamic inconsistency increases as tree length increases; these results are explained within a dynamic approach–avoidance framework. (shrink)

One of the main challenges in medicine is to guarantee an appropriate drug supply according to the real needs of patients. Closed-loop strategies have been widely used to develop automatic solutions based on feedback variables. However, when the variable of interest cannot be directly measured or there is a lack of knowledge behind the process, it turns into a difficult issue to solve. In this research, a novel algorithm to approach this problem is presented. The main objective of this study (...) is to provide a new general algorithm capable of determining the influence of a certain clinical variable in the decision making process for drug supply and then defining an automatic system able to guide the process considering this information. Thus, this new technique will provide a way to validate a given physiological signal as a feedback variable for drug titration. In addition, the result of the algorithm in terms of fuzzy rules and membership functions will define a fuzzy-based decision system for the drug delivery process. The method proposed is based on a Fuzzy Inference System whose structure is obtained through a decision tree algorithm. A four-step methodology is then developed: data collection, preprocessing, Fuzzy Inference System generation, and the validation of results. To test this methodology, the analgesia control scenario was analysed. Specifically, the viability of the Analgesia Nociception Index as a guiding variable for the analgesic process during surgical interventions was studied. Real data was obtained from fifteen patients undergoing cholecystectomy surgery. (shrink)

Corporate social responsibility, sustainability and acting ethically are all accepted business aims, but their meaning and implementation in a global context is far less clear-cut. Global Business Ethics cuts through the confusion to provide a coherent basis for ethical decision-making within the complications of the international business landscape. Underpinned by theory and including worked-through examples of ethical dilemmas and their solutions, this textbook will guide the reader beyond theory to real-world business decisions. Practical tools such as decision (...) trees and suggested principles to apply in dilemma situations give readers the skills and confidence to tackle the ethical challenges they face. A unique working code of ethics is provided as a model with guidance to readers for adaptation and implementation. Case studies include: Walmart, Hershey's, Citibank, Ford, Nike, Johnson & Johnson, Harley- Davidson, The Body Shop and Procter and Gamble. A chapter on the legal aspects of ethics provides clear guidance on the complex relationship between law and ethics in international business. The final part takes an in-depth look at the practical application of ethics in business life. Covering all the major theories of ethics, including an examination of the role of quantification of ethics, Global Business Ethics demonstrates how their principles can be applied to inform better business decisions. (shrink)

When I finally got eye glasses as a teenager, after denying the need for far too long, I was repeatedly surprised by the world that everyone else had been seeing all along. Leaves on the trees, graffiti by the highway—I was astonished, amazed, and suddenly informed. It is easy to assume we are seeing all we need to see, knowing all we need to know, until something jars us from this false comfort and compels us to reconsider. So it is (...) with thinking about the current state of doctor‐patient decisions. The unfocused view has physicians listening to patients and clearly communicating information about illnesses and treatment options, patients making good use of high‐quality data to craft sound decisions, and doctors joining patient preference with provider beneficence to optimize decisions. The reassuring outlook finds physician paternalism defeated, patients empowered, and all right with the world. Peter Ubel cannot let that fiction stand. In Critical Decisions: How You and Your Doctor Can Make the Right Medical Choices Together, Ubel reminds us that our work in actualizing patient autonomy and fostering patient participation in critical health decisions remains far from over. (shrink)

Previous studies have been split over how to view family owners’ CSR engagement, arguing that they either engage in or disengage from CSR based on different motives (i.e., preserving socio-emotional wealth vs. seeking rent expropriation). Focusing on family owners in business groups, this study integrates these divergent views. We hypothesize that family owners would pursue both motives simultaneously by optimizing the level of CSR of each affiliated firm depending on their ownership level. Furthermore, we argue that this tendency is moderated (...) by group-level contexts. Using a sample of Korean business groups, we found that family ownership is negatively associated with affiliated firms’ CSR. Also, this negative relationship is more pronounced when firms belong to business groups with more charitable corporate foundations and when business networks are greater in their scope and scale. This study contributes to the literature by offering a more complete understanding of how family owners make CSR decisions in business group contexts. (shrink)

Daniel Brudney's clear-headed analysis, in this issue of the Hastings Center Report, of the difference between a patient's and a surrogate's right to make medical treatment decisions contributes to a longstanding conversation in bioethics. Brudney offers an epistemological and a moral argument for the patient's and the surrogate's right to decide. The epistemological argument is the same for both parties: the patient has a right to decide because she is presumed to know her own interests better than anyone else, and (...) the surrogate is entitled to make decisions because she knows the patient better than anyone else. However, argues Brudney, the moral arguments are not parallel. The patient's moral right to decide for herself is an exercise of autonomy, but the only ground for the responsibility held by the surrogate, says Brudney, is that she knows the patient better than the health care professionals do. If in fact that's not the case, then she forfeits her right to be the patient's surrogate. For all the clarity and force of his argument, I think Brudney may be barking up the wrong tree. In cases of proxy decision-making, it's intimacy, not knowledge, that does the heavy moral lifting. (shrink)

While game theory has been transformative for decision making, the assumptions made can be overly restrictive in certain instances. In this work, we investigate some of the underlying assumptions of rationality, such as mutual consistency and best response, and consider ways to relax these assumptions using concepts from level-k reasoning and quantal response equilibrium (QRE) respectively. Specifically, we propose an information-theoretic two-parameter model called the quantal hierarchy model, which can relax both mutual consistency and best response while still (...) approximating level-k, QRE, or typical Nash equilibrium behavior in the limiting cases. The model is based on a recursive form of the variational free energy principle, representing higher-order reasoning as (pseudo) sequential decision-making in extensive-form game tree. This representation enables us to treat simultaneous games in a similar manner to sequential games, where reasoning resources deplete throughout the game-tree. Bounds in player processing abilities are captured as information costs, where future branches of reasoning are discounted, implying a hierarchy of players where lower-level players have fewer processing resources. We demonstrate the effectiveness of the quantal hierarchy model in several canonical economic games, both simultaneous and sequential, using out-of-sample modelling. (shrink)

BackgroundThere is evidence that direct journal endorsement of reporting guidelines can lead to important improvements in the quality and reliability of the published research. However, over the last 20 years, there has been a proliferation of reporting guidelines for different study designs, making it impractical for a journal to explicitly endorse them all. The objective of this study was to investigate whether a decision tree tool made available during the submission process facilitates author identification of the relevant (...) reporting guideline.MethodsThis was a prospective 14-week before–after study across four speciality medical research journals. During the submission process, authors were prompted to follow the relevant reporting guideline from the EQUATOR Network and asked to confirm that they followed the guideline (‘before’). After 7 weeks, this prompt was updated to include a direct link to the decision-tree tool and an additional prompt for those authors who stated that ‘no guidelines were applicable’ (‘after’). For each article submitted, the authors’ response, what guideline they followed (if any) and what reporting guideline they should have followed (including none relevant) were recorded.ResultsOverall, 590 manuscripts were included in this analysis—300 in the before cohort and 290 in the after. There were relevant reporting guidelines for 75% of manuscripts in each group; STROBE was the most commonly applicable reporting guideline, relevant for 35% (n = 106) and 37% (n = 106) of manuscripts, respectively. Use of the tool was associated with an 8.4% improvement in the number of authors correctly identifying the relevant reporting guideline for their study (p < 0.0001), a 14% reduction in the number of authors incorrectly stating that there were no relevant reporting guidelines (p < 0.0001), and a 1.7% reduction in authors choosing a guideline (p = 0.10). However, the ‘after’ cohort also saw a significant increase in the number of authors stating that there were relevant reporting guidelines for their study, but not specifying which (34 vs 29%; p = 0.04).ConclusionThis study suggests that use of a decision-tree tool during submission of a manuscript is associated with improved author identification of the relevant reporting guidelines for their study type; however, the majority of authors still failed to correctly identify the relevant guidelines. (shrink)

In a dynamic (sequential) framework, departures from the independence axiom (IND) are reputed to induce violations of dynamic consistency (DC), which may in turn have undesirable normative consequences. This result thus questions the normative acceptability of non expected-utility (non-EU) models, which precisely relax IND. This paper pursues a twofold objective. The main one is to discuss the normative conclusion: usual arguments linking violations of DC to departures from IND are shown to be actually based on specific (but usually remaining implicit) (...) assumptions which may rightfully be released, so that it is actually possible for a non-EU maximizer to be dynamically consistent and thus avoid normative difficulties. The second objective is to introduce a kind of `reality principle' (through two other evaluation criteria) in order to mitigate the normative requirement when examining adequate moods for non-EU decision making. (shrink)

Despite the growing popularity of machine learning models in the cyber-security applications ), most of these models are perceived as a black-box. The eXplainable Artificial Intelligence has become increasingly important to interpret the machine learning models to enhance trust management by allowing human experts to understand the underlying data evidence and causal reasoning. According to IDS, the critical role of trust management is to understand the impact of the malicious data to detect any intrusion in the system. The previous studies (...) focused more on the accuracy of the various classification algorithms for trust in IDS. They do not often provide insights into their behavior and reasoning provided by the sophisticated algorithm. Therefore, in this paper, we have addressed XAI concept to enhance trust management by exploring the decision tree model in the area of IDS. We use simple decision tree algorithms that can be easily read and even resemble a human approach to decision-making by splitting the choice into many small subchoices for IDS. We experimented with this approach by extracting rules in a widely used KDD benchmark dataset. We also compared the accuracy of the decision tree approach with the other state-of-the-art algorithms. (shrink)

This paper examines feature selection for log linear models over rich constraint-based grammar (HPSG) representations by building decision trees over features in corresponding probabilistic context free grammars (PCFGs). We show that single decision trees do not make optimal use of the available information; constructed ensembles of decision trees based on different feature subspaces show signifi- cant performance gains (14% parse selection error reduction). We compare the performance of the learned PCFG grammars and log linear models over the (...) same features. (shrink)

There are at least two plausible generalisations of subjective expected utility (SEU) theory: cumulative prospect theory (which relaxes the independence axiom) and Levi’s decision theory (which relaxes at least ordering). These theories call for a re-assessment of the minimal requirements of rational choice. Here, I consider how an analysis of sequential decision making contributes to this assessment. I criticise Hammond’s (Economica 44(176):337–350, 1977; Econ Philos 4:292–297, 1988a; Risk, decision and rationality, 1988b; Theory Decis 25:25–78, 1988c) ‘consequentialist’ (...) argument for the SEU preference axioms, but go on to formulate a related diachronic-Dutch-book-style’ argument that better achieves Hammond’s aims. Some deny the importance of Dutch-book sure losses, however, in which case, Seidenfeld’s (Econ Philos 4:267–290, 1988a) argument that distinguishes between theories that relax independence and those that relax ordering is relevant. I unravel Seidenfeld’s argument in light of the various criticisms of it and show that the crux of the argument is somewhat different and much more persuasive than what others have taken it to be; the critical issue is the modelling of future choices between ‘indifferent’ decision-tree branches in the sequential setting. Finally, I consider how Seidenfeld’s conclusions might nonetheless be resisted. (shrink)

With the continuous development of “Internet + Education”, online learning has become a hot topic of concern. Decision tree is an important technique for solving classification problems from a set of random and unordered data sets. Decision tree is not only an effective method to generate classifier from data set, but also an active research field in data mining technology. The decision tree mining algorithm can classify the data, grasp the teaching process of the (...) teacher, and analyze the overall performance of the students, so as to realize the dynamic management of the educational administration and help the educational administration personnel to make the right decision, with more reasonable allocation of resources. This paper evaluates students’ academic performance based on the learning behavior data of online learning, so as to intervene in students’ learning in advance, which is the key problem that needs to be solved at present. Taking students’ learning attitude, completion of homework, and attendance as factors, the paper uses decision tree technology to analyze the factors affecting students’ performance, and evaluates students’ performance. Firstly, this paper collects the high-dimensional behavioral characteristic data of students’ online learning and conducts correlation analysis after preprocessing the behavioral characteristic data. Then, the decision tree C4.5 algorithm is used to construct a performance evaluation model. Students’ performance is evaluated by the model, and the evaluation accuracy is about 88% compared with actual performance. Finally, through the model analysis, it is concluded that the video task point completion is the most influential in students’ achievement, followed by chapter test completion and chapter test average score, and the course interaction amount and homework average score are the least influential in students’ achievement, which has a practical reference value for effectively serving online learning and teachers’ teaching. (shrink)

Numerous studies have shed some light on the importance of associated factors of collaborative attitudes. However, most previous studies aimed to explore the influence of these factors in isolation. With the strategy of data-driven decision making, the current study applied two data mining methods to elucidate the most significant factors of students' attitudes toward collaboration and group students to draw a concise model, which is beneficial for educators to focus on key factors and make effective interventions at a (...) lower cost. Structural equation model trees and structural equation model forests were applied to the Program for International Student Assessment 2015 dataset. By establishing the most important predictors and the splitting rules, these methods constructed multigroup common factor models of collaborative attitudes. The SEM trees showed that home educational resources, home possessions, mother's education, and gender were the most important predictors among the demographic variables, drawing a 5-group model. Among all the predictors, achievement motivation and sense of belonging at school were the most important, drawing a 6-group model. The SEM forest findings proved the relative importance of these variables. This paper discusses various interpretations of these results and their implications for educators to formulate corresponding interventions. Methodologically, this research provides a data mining approach to discover important information from large-scale educational data, which might be a complementary approach to enhance data-driven decision making in education. (shrink)

With the advent of the Big Data era, information and data are growing in spurts, fueling the deep application of information technology in all levels of society. It is especially important to use data mining technology to study the industry trends behind the data and to explore the information value contained in the massive data. As teaching and learning in higher education continue to advance, student academic and administrative data are growing at a rapid pace. In this paper, we make (...) full use of student academic data and campus behavior data to analyze the data inherent patterns and correlations and use these patterns rationally to provide guidance for teaching activities and teaching management, thus further improving the quality of teaching management. The establishment of a data-mining-technology-based college repetition warning system can help student management departments to strengthen supervision, provide timely warning information for college teaching management as well as leaders and counselors’ decision-making, and thus provide early help to students with repetition warnings. In this paper, we use the global search advantage of genetic algorithm to build a GABP hybrid prediction model to solve the local minimum problem of BP neural network algorithm. The data validation results show that Recall reaches 95% and F1 result is about 86%, and the accuracy of the algorithm prediction results is improved significantly. It can provide a solid data support basis for college administrators to predict retention. Finally, the problems in the application of the retention prediction model are analyzed and corresponding suggestions are given. (shrink)

This book develops a comprehensive framework for ethics in the helping professions based on bioethicist Bernard Gert's theory of common morality. The prevailing model of ethics education is built upon adherence to codes of ethics applied largely through the use of decision-making trees. While a firm understanding of a professions code of ethics and all relevant laws is essential to responsible practice, this approach to teaching ethics excludes the opportunity for students to acquire a holistic, and grounded understanding (...) of moral action. The framework proposed in this text moves beyond codes of ethics, and allows students to develop a cohesive sense of ethical reasoning that both validates their moral intuition and challenges moral assumptions. The theory of a common morality uses a systematic, step-by-step approach that readers and practitioners can apply to all questions of moral action and behaviour. While there is no such thing as a single right answer to any ethical question, by following this approach practitioners can confidently eliminate the bad decisions, allowing them to feel more secure in their decision and practice. (shrink)

Stressing the importance of understanding the grounds and the consequences of ethical or normative decision making, this collection of classic essays compiled by Pierce and VanDeVeer, examines disputes surrounding animals, ecosystems, the land, and their own proper place in the ongoing network of lives on this planet. A central question is "how can we live lives that are both personally satisfying but which are also ecologically sound and responsible?".

Common Law Theory of Judicial Review: The Living Tree, Wil Waluchow neatly sidesteps the critique of judicial review based on the con- tention that constitutional rights are unacceptably indeterminate by arguing that it is this very indeterminacy that makes a common law method of legal interpretation appropriate. However, his contention that judges are able to ‘discover’ the underlying ‘authentic’ moral views of citizens is insufficiently grounded to meet the objection that common law reasoning utilising such unspecific material will result (...) in controversial decisions that reflect the val- ues and experience of an unrepresentative social and professional elite. He also ignores the important fact that electoral democracy is partly about the protection of vulnerable majorities against powerful minorities. However, Waluchow’s approach could be rendered more acceptable where there is the practical possibility of effective legislative on law style decision-making in the arena of human rights.Resumen:En su libro A Common Law Theory of Judicial Review: The Living Tree, Wil Waluchow de manera elegante y sutil evita la crítica al judicial review con el argumento de que los derechos constitucionales son irremediablemen te indeterminados y sostiene que precisamente por este aspecto de inde terminación un método basado en el common law es adecuado para la in terpretación de los derechos. Sin embargo, su postura de que los jueces son capaces de “descubrir” las perspectivas morales “auténticas” de los ciudadanos no está bien fundamentada como para hacer frente a la crítica de que el método del common law, al utilizar dicho material poco específico, da como resultado decisiones controvertidas que reflejan los valores y experiencia de una elite profesional y social no representativa. También el argumento de Waluchow ignora que la democracia electoral tiene como objetivo proteger a mayorías vulnerables de poderosas minorías. No obstante lo anterior, la tesis de Waluchow puede ser más viable donde exista la posibilidad práctica de una revisión efectiva de las leyes a través de las decisiones propias del método del common law en el ámbito de los derechos humanos. (shrink)

As a way forward in assessing how the Old Testament wisdom tradition might speak to decisions in a modern medical context, in this paper, I propose exploring the iconographic function of the “tree of life” in the Old Testament, which is consistently associated with both wisdom as well as life and health, in order to tease out two-related issues that can help in providing a Christian theological framework for thinking about the problem of the medicalization of risk: first, how (...) should the natural and good human desire for health and long life be framed in terms of the pursuit of wisdom? And, second, how might a sapientially formed character approach risk and uncertainty in making medical decisions? The answers to these questions help establish a framework in which more specific questions related to the medicalization of risk can be assessed. As such, this paper is deliberately programmatic and perspectival rather than prescriptive. (shrink)

Cloud computing (ClC) has become a more popular computer paradigm in the preceding few years. Quality of Service (QoS) is becoming a crucial issue in service alteration because of the rapid growth in the number of cloud services. When evaluating cloud service functioning using several performance measures, the issue becomes more complex and non-trivial. It is therefore quite difficult and crucial for consumers to choose the best cloud service. The user's choices are provided in a quantifiable manner in the current (...) methods for choosing cloud services. Hence, this study attempts to achieve this objective through construction. decision-making framework so-called cloud services evaluator (CSsEv). The main indicator and its sub-indicators are formed as nodes at levels(n) in tree soft sets (TSSs). Thereafter Single Value Neutrosophic Sets (SVNSs) as branch of neutrosophic sets which conjunction with the Multi-Criteria Decision Making (MCDM) technique to facilitate analysis and evaluation process for the available Cloud services providers. Hence, entropy is employed to obtain indicators and sub_indicators weights and Complex Proportional Assessment utilizes these weights to facilitate the decision process of selecting optimal ClSPs. (shrink)

Market crises amplify fear, disrupting rational decision-making of stock investment. This study examines the relationship between investors’ information priorities—such as intuition, company performance, technical analysis, and other factors—and their fear responses (freeze, flight, and hiding) during market crashes. Using the Bayesian Mindsponge Framework (BMF) to analyze data from 1,526 investors in China and Vietnam, the findings reveal complex dynamics. We found positive associations between investors’ prioritization of social influence and intuition for investment decision-making with being freeze (...) (i.e., not knowing what to do with the owned stock), between prioritization of professionals’ evaluation and intuition with fleeing (i.e. giving up stock investment permanently), and between prioritization of professionals’ evaluation and social influence with hiding (i.e., stopping investing in stock for a while). In contrast, prioritization of companies’ performance metrics (e.g., net profit, debt, etc.) was negatively associated with being freeze, fleeing, and hiding. Meanwhile, prioritization of professionals’ evaluation, technical analysis, and liquidity was negatively associated with being freeze, fleeing, and hiding, respectively. The study highlights the importance of disseminating transparent, accurate information through government and media channels, along with implementing financial education programs, to promote rational investment decisions and reduce fear-driven behaviors. (shrink)

Incommensurability is the impossibility to determine how two options relate to each other in terms of conventional comparative relations. This book features new research on incommensurability from philosophers who have shaped the field into what it is today, including John Broome, Ruth Chang and Wlodek Rabinowicz. The book covers four aspects relating to incommensurability. In the first part, the contributors synthesize research on the competing views of how to best explain incommensurability. Part II illustrates how incommensurability can help us deal (...) with seemingly insurmountable problems in ethical theory and population ethics. The contributors address the Repugnant Conclusion, the Mere Addition Paradox and so-called Spectrum Arguments. The chapters in Part III outline and summarize problems caused by incommensurability for decision theory. Finally, Part IV tackles topics related to risk, uncertainty and incommensurability. Value Incommensurability: Ethics, Risk, and Decision-Making will be of interest to researchers and advanced students working in ethical theory, decision theory, action theory, and philosophy of economics. (shrink)

BackgroundGenealogical research and ancestry testing are popular recreational activities but little is known about the impact of the use of these services on clients’ biological and social families. Ancestry databases are being enriched with self-reported data and data from deoxyribonucleic acid analyses, but also are being linked to other direct-to-consumer genetic testing and research databases. As both family history data and DNA can provide information on more than just the individual, we asked whether companies, as a part of the consent (...) process, were informing clients, and through them clients’ relatives, of the potential implications of the use and linkage of their personal data.MethodsWe used content analysis to analyse publically-available consent and informational materials provided to potential clients of ancestry and direct-to-consumer genetic testing companies to determine what consent is required, what risks associated with participation were highlighted, and whether the consent or notification of third parties was suggested or required.ResultsWe identified four categories of companies providing: 1) services based only on self-reported data, such as personal or family history; 2) services based only on DNA provided by the client; 3) services using both; and 4) services using both that also have a research component. The amount of information provided on the potential issues varied significantly across the categories of companies. ‘Traditional’ ancestry companies showed the greatest awareness of the implications for family members, while companies only asking for DNA focused solely on the client. While in some cases companies included text recommending clients inform their relatives, showing they recognised the issues, often it was located within lengthy terms and conditions or privacy statements that may not be read by potential clients.ConclusionsWe recommend that companies should make it clearer that clients should inform third parties about their plans to participate, that third parties’ data will be provided to companies, and that that data will be linked to other databases, thus raising privacy and issues on use of data. We also suggest investigating whether a ‘generational consent’ should be created that would include more than just the individual in decisions about participating in genetic investigations. (shrink)

Persons with dementia often prefer to participate in decisions about their health care, but may be prevented from doing so because healthcare decision-making law facilitates use of advance directives or surrogate decision makers for persons with decisional impairments such as dementia. Federal and state disability law provide alternative decision-making models that do not prevent persons with mild to moderate dementia from making their own healthcare decisions at the time the decision needs to be (...) made. In order to better promote autonomy and wellbeing, persons with dementia should be accommodated and supported so they can make their own healthcare decisions. (shrink)

Volume 24, Issue 8, August 2024, Page 124-126.

BackgroundIn the coming years, surrogate decision-making is expected to become highly prevalent in Japanese clinical practice. Further, there has been a recent increase in activities promoting advance care planning, which potentially affects the manner in which judgements are made by surrogate decision-makers. This study aims to clarify the grounds on which surrogate decision-makers in Japan base their judgements.MethodsIn this qualitative study, semi-structured interviews were conducted to examine the judgement grounds in surrogate decision-making for critical (...) life-sustaining treatment choices in acute care hospitals.ResultsA total of 228 participants satisfied the inclusion criteria, and 15 were selected for interviews. We qualitatively analysed the content of 14 interview transcripts, excluding one that did not meet the inclusion criteria. Based on this analysis, we extracted 4 core categories, 17 categories, 35 subcategories, and 55 codes regarding judgement grounds in surrogate decision-making. The four core categories were as follows: patient preference-oriented factor (Type 1), patient interest-oriented factor (Type 2), family preference-oriented factor (Type 3), and balanced patient/family preference-oriented factor (Type 4). The Type 4 core category represented attempts to balance the preferences of the patient with those of the surrogate decision-maker.ConclusionsSurrogate decision-makers based their decisions on important aspects related to a patient’s life, and they considered not only the patient’s preferences and best interests but also their own preferences. As the need for surrogate decisions will increase in the future, decision-makers will need to consider judgement grounds from a more diverse perspective. (shrink)

Purpose. The study seeks to clarify the preconditions for moral and legal decision-making based on the identification of axiological foundations that correlate with the moral perceptions of good and evil and psychological phenomena such as emotions. Theoretical basis of the study is to apply comparative, axiological, systemic methods. This methodological approach allows us to analyze and disclose the essence of the process of moral and legal decision-making on the basis of certain axiological prerequisites and enables to (...) substantiate the connection between the axiological and psychological aspects of taking moral and legal decisions. Originality of the work is to broaden the perceptions of the processes and mechanisms for making moral and legal decisions, which are based on the axiological dimension, in particular on the system of reference individual and social values. The study shows that every necessary moral and legal decision taken by a person is futurologically balanced in the emotional sense, rationally reasoned and morally perceptible in the context of man’s beliefs about good and evil, and realized with necessity in the personal system of reference values that determines the style and manner of individual and social behaviour in the context of material and spiritual values and is an axiological foundation for making all types of moral and legal decisions. Conclusions. Moral and legal decision-making is a social process that is connected with such a social essence of a person as rationality, which gives an opportunity to act axiologically. A person makes moral and legal decisions in a complex way, based on the unity of the moral, axiological and psychological aspects of his worldview, which are grounded on the system of reference values. (shrink)

I identify an undertheorized problem with decisions we make with the aid of algorithms: the problem of inauthenticity. When we make decisions with the aid of algorithms, we can make ones that go against our commitments and values in a normatively important way. In this paper, I present a framework for algorithm-aided decision-making that can lead to inauthenticity. I then construct a taxonomy of the features of the decision environment that make such outcomes likely, and I discuss (...) three possible solutions to the problem. (shrink)

This study examines how heightened expectations of board responsibility and accountability affect the socio-cognitive decision-making of boards and their collective task performance. Using data from the directors of 60 boards who served before and after the enactment of Sarbanes–Oxley, this study provides insight into the potential negative impact that this tightened accountability environment can have on a board’s task performance. Examining several socio-cognitive elements of board decision-making, board authority is found to have a positive main effect (...) on board task performance, while relative CEO power and affective conflict have curvilinear relationships with board task performance. Cohesiveness also moderates the relationship between a board’s perceived uncertainty and affective conflict with board task performance. In sum, the model shows how a new era of director accountability can affect the social cognitions of board decision-making that underlie board task performance. (shrink)

The decision-making environment in intensive care units (ICUs) is influenced by the transformation of intensive care medicine, the staffing situation and the increasing importance of patient autonomy. Normative implications of time in intensive care, which affect all three areas, have so far barely been considered. The study explores patterns of decision making concerning the continuation, withdrawal and withholding of therapies in intensive care. A triangulation of qualitative data collection methods was chosen. Data were collected through non-participant (...) observation on a surgical ICU at an academic medical centre followed by semi-structured interviews with nurses and physicians. The transcribed interviews and observation notes were coded and analysed using qualitative content analysis according to Mayring. Three themes related to time emerged regarding the escalation or de-escalation of therapies: influence of time on prognosis, time as a scarce resource and timing in regards to decision making. The study also reveals the ambivalence of time as a norm for decision making. The challenge of dealing with time-related efforts in ICU care results from the tension between the need to wait to optimise patient care, which must be balanced against the significant time pressure which is characteristic of the ICU setting. (shrink)

Categorization and decision making are combined in a task with photorealistic faces. Two different types of face stimuli were assigned probabilistically into one of two fictitious groups; based on the category, faces were further probabilistically assigned to be hostile or friendly. In Part I, participants are asked to categorize a face into one of two categories, and to make a decision concerning interaction. A Markov model of categorization followed by decision making provides reasonable fits to (...) Part I data. A Markov model predicting decision making followed by categorization is rejected. In Part II, a no-parameter model predicts decisions using categorization and decision responses collected in separate trials, suggesting that Part 1 results are not an artifact of the presentation of categorization and decision questions within a single trial. Decisions concerning interaction (defensive/friendly) appear to be based on information from the category decision, and not from the face stimuli alone. (shrink)