In cue-based content-addressable approaches to memory, a target and its competitors are retrieved in parallel from memory via a fast, associative cue-matching procedure under a severely limited focus of attention. Such a parallel matching procedure could in principle ignore the serial order or hierarchical structure characteristic of linguistic relations. I present an eye tracking while reading experiment that investigates whether the sentential position of a potential antecedent modulates the strength of similarity-based interference, a well-studied effect in which (...) increased similarity in features between a target and its competitors results in slower and less accurate retrieval overall. The manipulation trades on an independently established Locality bias in sluiced structures to associate a wh -remnant ( which ones ) in clausal ellipsis with the most local correlate ( some wines ), as in The tourists enjoyed some wines, but I don't know which ones. The findings generally support cue-based parsing models of sentence processing that are subject to similarity-based interference in retrieval, and provide additional support to the growing body of evidence that retrieval is sensitive to both the structural position of a target antecedent and its competitors, and the specificity or diagnosticity of retrieval cues. (shrink)

A promising approach to more refined models consistent with the Caplan & Waters hypothesis is based on similarity-based interference, a general principle that applies across working memory domains. This may explain both the fine details of syntactic working memory phenomena and the gross fractionation for which Caplan & Waters have found evidence. Detailed models of syntactic processing that embody similarity-based interference fare well cross-linguistically.

Financial internationalization leads to similar fluctuations and spillover effects in financial markets around the world, resulting in cross-border financial risks. This study examines comovements across G20 international stock markets while considering the volatility similarity and spillover effects. We provide a new approach using an ICA- based ARMA-APARCH-M model to shed light on whether there are spillover effects among G20 stock markets with similar dynamics. Specifically, we first identify which G20 stock markets have similar volatility features using a (...) fuzzy C-means time series clustering method and then investigate the dominant source of volatility spillovers using the ICA-based ARMA-APARCH-M model. The evidence has shown that the ICA method can more accurately capture market comovements with nonnormal distributions of the financial time series data by transforming the multivariate time series into statistically independent components. Our findings indicate that the G20 stock markets are clustered into three categories according to volatility similarity. There are spillover effects in stock market comovements of each group and the dominant source can be identified. This study has important implications for investors in international financial markets and for policymakers in G20 countries. (shrink)

While agreeing with Seana Shiffrin that any free speech theory must depend on assumptions about our need for free thinking, I am sceptical about her claim that her thinker-based approach provides the best explanation for freedom of speech. Her argument has some similarities with Mill’s argument from truth and with self-development theories, though it improves on the latter. But the thinker-based approach does not show why political discourse, broadly construed, is protected more strongly in all jurisdictions (...) than gossip and sexually explicit speech. Nor does it explain why the ‘mass’ speech of corporations and the mailings of political parties and charities are fully protected by provisions such as the First Amendment. My article concludes with some reflections on the relationship of abstract political theory such as Shiffrin’s to constitutional law; abstract theory must inevitably make some compromises if it is fully to explain constitutional jurisprudence. (shrink)

In the discipline of software development, effort estimation renders a pivotal role. For the successful development of the project, an unambiguous estimation is necessitated. But there is the inadequacy of standard methods for estimating an effort which is applicable to all projects. Hence, to procure the best way of estimating the effort becomes an indispensable need of the project manager. Mathematical models are only mediocre in performing accurate estimation. On that account, we opt for analogy-based effort estimation by means (...) of some soft computing techniques which rely on historical effort estimation data of the successfully completed projects to estimate the effort. So in a thorough study to improve the accuracy, models are generated for the clusters of the datasets with the confidence that data within the cluster have similar properties. This paper aims mainly on the analysis of some of the techniques to improve the effort prediction accuracy. Here the research starts with analyzing the correlation coefficient of the selected datasets. Then the process moves through the analysis of classification accuracy, clustering accuracy, mean magnitude of relative error and prediction accuracy based on some machine learning methods. Finally, a bio-inspired firefly algorithm with fuzzy analogy is applied on the datasets to produce good estimation accuracy. (shrink)

This paper discusses methodological similarities between Collingwood's approach to causation and contemporary manipulability-based views. Firstly, I argue that on both approaches there is a preoccupation with the origin of causal concepts which further connects to the aim of establishing the priority of a certain concept/sense of causation as more fundamental. The significant difference lies in Collingwood's focus on the logical and historical priority (Collingwood's sense I) while in more recent theories the focus has been on psychology (i.e., on (...) different philosophical concepts of causation tested in psychological setting-- Woodward, Waskan, Gijsbers & de Bruin). Secondly, I argue that on both Collingwood's views and contemporary approaches (especially Menzies & Price, Price, but also Woodward) there is an important connection between causation and the agent's perspective. This can be subsumed under what Collingwood identifies as the main presupposition underlying causal thought: the relation between the agent's perceived situation and the agent's desired situation/ goal. More broadly, the recent views on causation under discussion share Collingwood's aim of elucidating the problem of causation through investigating causal knowledge and thus can be integrated with his wider project of addressing metaphysical issues through the means of epistemology. (shrink)

This paper addresses the issue of the moral status of non-human animals, or the question whether sentient animals are morally considerable. The arguments for and against the moral status of animals are discussed, above all the argument from marginal cases. It is argued that sentient animals have moral status based on their having interests in their experiential well-being, but that there are degrees of moral status. Two interest-based approaches are presented and discussed: DeGrazia’s view that sentient animals have (...) interests in continuing to live, and that their interests should be granted moral weight; and McMahan’s TRIA which similarly postulates that animals have interests and that in a given situation we should compare the human and animal interests at stake. Finally, the paper concludes that the anthropocentric approach to animal ethics should be abandoned in favour of the biocentric ethics. (shrink)

In this paper, the sine, cosine and cotangent similarity measures of interval rough neutrosophic sets is proposed. Some properties of the proposed measures are discussed. We have proposed multi attribute decision making approaches based on proposed similarity measures. To demonstrate the applicability, a numerical example is solved.

A growing consensus in the philosophy and psychology of concepts is that while theories such as the prototype, exemplar, and theory theories successfully account for some instances of concept formation and application, none of them successfully accounts for all such instances. I argue against this ‘new consensus’ and show that the problem is, in fact, more severe: the explanatory force of each of these theories is limited even with respect to the phenomena often cited to support it, as each fails (...) to satisfy an important explanatory desideratum with respect to these phenomena. I argue that these explanatory shortcomings arise from a shared assumption on the part of these theories, namely, they take similarity judgements and application of causal knowledge to be discrete elements in a theory of concepts. I further propose that the same assumption carries over into alternative theories offered by proponents of the new consensus: pluralism, eliminativism, and hybrid theories. I put forth a sketch of an integrated model of concept formation and application, which rejects this shared assumption and satisfies the explanatory desiderata I discuss. I suggest that this model undermines the motivation for hybrid, pluralist, and eliminativist accounts of concepts. _1_ Introduction _2_ The Similarity-Based Approach and the Importance of Theory _2.1_ The similarity-based approach _2.2_ The selection desideratum _2.3_ Causal knowledge as satisfying the selection desideratum _3_ The Theory-Based Approach and the Importance of Similarity _3.1_ The theory-based approach _3.2_ The range desideratum _3.3_ Similarity as satisfying the range desideratum _4_ An Integrated Approach to Concepts _4.1_ An integrated model _4.2_ The integrated theory versus hybrid theories of concepts _5_ Conclusion. (shrink)

This exploratory enquiry seeks to examine the largely unexplored potential of semiotics for intercultural training and education. The proposed three-partdiscussion describes the process by which semiotic theoretical principles were selected and progressively refined into an applied model which was then pilotedthrough a 2007 research initiative entitled Tools for Cultural Development. The case study involved six groups of French and Australian trainees from both theacademic and professional sectors, in collaboration with university, government and community partners. The first part of the article (...) summarizes a review of theliterature on approaches to cultural competence training. The study then outlines the transcoding process by which the stated objectives of intercultural educationwere reformulated in semiotic terms, particularly in reference to cultural semiotics on which the theoretical core of the applied model was subsequently based.Relevant principles from other semiotic schools as well as similar theoretical and methodological stances in the social sciences reinforced the established body of theory for the training design. The third part of the study discusses the process by which semiotic principles were further defined as skill-based outcomes and goals for workshop implementation. This pragmatic defining process facilitated development of questionnaires and surveys, thereby allowing participants to evaluate the training experience by examining their perceptions about the workshop outcomes at the beginning and end of the sessions. This article presents the quantitative results of the evaluation and, in discussing the gains and limits of data obtained, provides the context for a follow-up article on the qualitative findingsof the study. (shrink)

In this paper, I investigate the phonological similarity of different elements of the phonological pole of multi-word units. I discuss two case studies on slightly different levels of abstractness. The first case study investigates lexically fully-specified V-NPDirObj idioms such as kick the bucket and lose one's cool; the idioms investigated are taken from the Collins Cobuild Dictionary of Idioms (Harper Collins, 2002). The second case study investigates the lexically less specified way-construction, which is exemplified by He fought his way (...) through the crowd (cf. Goldberg, Constructions: A Construction Grammar approach to argument structure, The University of Chicago Press, 1995: Ch. 9), on the basis of data from the British National Corpus 1.0. I show that both patterns exhibit a strong phonological within-pole relation, namely a strong preference for having their slots filled with phonologically similar elements, where phonological similarity is manifested in alliteration patterns. These preferences are statistically significant when compared to chance-level expectations derived both from the corpora and from the CELEX database (Baayen et al., The CELEX Lexical Database (CD-ROM), University of Pennsylvania, 1995) and are explained on the basis of Langacker's concept of syntactic and phonological constituents as well as current exemplar-/usage-based approaches. (shrink)

토머스 쿤이 남긴 개념체계와 추론에 대한 개요는 인지과학의 성과에 힘입어 더욱 정교한 이론으로 발전했으며, 이러한 인지적 접근은 그동안 해명하기 어려웠던 과학 활동의 동학을 설명하는 데 매우 유용한 틀을 제공하고 있다. 이러한 접근은 그동안 강조되어 왔던 규칙과 정의 및 정언적 합리성의 역할을 축소시키는 한편, 그 자리에 유사관계에 의거한 개념체계와 사례/모형 기반 추론을 채우고, 과학 활동의 핵심에 과학의 ‘내용’이 아닌 과학을 수행하는 ‘인지적 행위자’를 둠으로써, 과학 활동의 양식과 내용의 변화를 유연하게 설명하는 데 상당한 성과를 내고 있다. 그러나 일반적인 인간의 인지적 능력만으로는 과학 (...) 연구의 방향이 결정되지 않으며, 그렇기에 부각되는 것이 ‘과학자가 어떤 문제를 풀고 있는가’와 ‘그가 동원할 수 있는 자원이 무엇인가’이다. 이 점에서 과학은 경로 의존성을 가지게 되며, 과학의 역사적, 사회적 차원은 과학 활동을 설명하기 위한 중요한 자원이 된다. (shrink)

In the debate about the legal value of naked statistical evidence, Di Bello argues that (1) the likelihood ratio of such evidence is unknown, (2) the decision-theoretic considerations indicate that a conviction based on such evidence is unacceptable when expected utility maximization is combined with fairness constraints, and (3) the risk of mistaken conviction based on such evidence cannot be evaluated and is potentially too high. We argue that Di Bello’s argument for (1) works in a rather narrow (...) context, and that (1) is not exactly in line with the way expert witnesses are required to formulate their opinions. Consequently, Di Bello’s argument for (2), which assumes (1), does not apply uniformly to all convictions based on naked evidence. Moreover, if Di Bello’s analysis is correct, it applies also to eyewitness testimony, given empirical results about its quality, and so the distinctions drawn by DiBello cut across the distinction between naked statistical evidence and other types of evidence. Finally, if we weaken the rather strong requirement of precise measurability of the risk of mistaken conviction, to the availability of reasonable but imprecise and fallible estimates, many field and empirical studies show that often the risk of mistaken conviction based on naked statistical evidence can be estimated to a similar extent as the risk of mistaken conviction based on any other sort of evidence. (shrink)

When scientists attempt to explain observations of behaviour in humans and other animals, they often use language that evolved for informal discourse among people engaged in every day social interaction, like this: What does the infant/child/adult/chimp/crow perceive/understand/learn/intend? What is he/she/it conscious of? What does he/she/it experience/enjoy/desire? What is he/she/it attending to? Why did he/she/it do X, start Xing, stop Xing, speed up Xing...? Does he/she/it know that...? What did/does he/she/it expect will happen, if...? Similar comments can be made about the (...) terminology used in many philosophical discussions about minds, cognition, language, and the relationships between evolution and learning. (shrink)

When scientists discuss experimental observations, they often, unfortunately, use language that evolved for informal discourse among people engaged in every day social interaction, like this: What does the infant/child/adult/chimp/crow (etc) perceive/understand/learn/intend (etc)? What is he/she/it conscious of? What does he/she/it experience/enjoy/desire? What is he/she/it attending to? Similar comments can be made about the terminology used in many philosophical discussions about minds, cognition, language, and the relationships between evolution and learning.

In the domain of legal information retrieval, an important challenge is to compute similarity between two legal documents. Precedents play an important role in The Common Law system, where lawyers need to frequently refer to relevant prior cases. Measuring document similarity is one of the most crucial aspects of any document retrieval system which decides the speed, scalability and accuracy of the system. Text-based and network-based methods for computing similarity among case reports have already been (...) proposed in prior works but not without a few pitfalls. Since legal citation networks are generally highly disconnected, network based metrics are not suited for them. Till date, only a few text-based and predominant embedding based methods have been employed, for instance, TF-IDF based approaches, Word2Vec and Doc2Vec based approaches. We investigate the performance of 56 different methodologies for computing textual similarity across court case statements when applied on a dataset of Indian Supreme Court Cases. Among the 56 different methods, thirty are adaptations of existing methods and twenty-six are our proposed methods. The methods studied include models such as BERT and Law2Vec. It is observed that the more traditional methods that rely on a bag-of-words representation performs better than the more advanced context-aware methods for computing document-level similarity. Finally we nominate, via empirical validation, five of our best performing methods as appropriate for measuring similarity between case reports. Among these five, two are adaptations of existing methods and the other three are our proposed methods. (shrink)

This paper argues for a new understanding of Strawson’s distinction between personal, impersonal, and self-reactive attitudes. Many Strawsonians take these basic reactive attitude types to be distinguished by two factors. Is it the self or another who is treated with good- or ill-will? And is it the self or another who displays good- or ill-will? On this picture, when someone else wrongs me, my reactive attitude is personal; when someone else wrongs someone else, my reactive attitude is impersonal; and when (...) I wrong someone else, my attitude is self-reactive. Against this account, I argue that the basic reactive attitude types are better distinguished according to whether they express partial or impartial concern. This fits Strawson’s discussion in “Freedom and Resentment”, and it allows us to see an important point that the alternative approach obscures. Namely, while attitudes like resentment, gratitude, shame, and pride can arise as responses to our own treatment and behavior, they can also arise as third-party responses to the treatment and behavior of our family members, romantic partners, and close friends. Similarly, attitudes like moral indignation and disapprobation also have a wider scope than is often acknowledged; they can arise as responses to others’ treatment, but they can also arise as responses to our own treatment when we react impartially to circumstances involving ourselves. (shrink)

The main idea of S-curve diagram is to assign different angle values to different nucleotide acid residues or to different protein amino acids, and then according to cos α j and sin α j, the values are accumulated to construct an S-curve diagram, which is in strict one-to-one correspondence with the biological sequence. In addition, the S-curve diagram proves to be without the degeneracy phenomenon, so that both the degeneracy problem represented by diagrams and the problem of visualization for biological (...) sequence data are solved. Meanwhile, a new approach to differentiate the similarity of biological sequences—the degree of similarity—is put forward on the basis of the S-curve diagram. To put it in detail, the least square approach is first adopted to obtain a straight line equation according to the S-curve diagram, then according to the distance formula of the point to the straight line, the average ratio of square sum for the distance between the S-curve and the straight line is calculated, and finally, the similarity of the biological sequences is presented by the new standard—the degree of similarity. As is shown by the experimental results, the S-curve diagram can better represent biological sequences within Cartesian coordinate system, and the mutation point of biological sequence. Thus, it turns out that the new standard—the degree of similarity is of obviously great advantage. (shrink)

A standard system, which is a powerful tool in maintaining the normal operations and development of a specific industry, is intrinsically a complex network composed of numerous standards which coordinate and interact with each other. In a networked standard system, the identification of critical standards is of great significance when drafting and revising standards. However, a majority of the existing literature has focused on the citation relationships between standards while ignoring the intrinsic interdependent relationships between the contents of standards. To (...) overcome this limitation, we utilize the text similarity approach to quantify the relationship intensity between each pair of standards, in order to generate a directed weighted network. The critical contribution of this study is that the similarity computed by the TSA is incorporated into the traditional PageRank algorithm for the identification of critical standards. The improved algorithm comprehensively considers the quantity and importance of neighboring standards and the citation intensity, as quantified by TSA. The algorithm is finally validated using the Chinese environmental health standards through comparison with the traditional PageRank algorithm and different classic measurements. (shrink)

The common law system is a legal system that values precedent, or previous court decisions, in the resolution of current cases. As the availability of legal documents in digital form has increased, it has become more difficult for legal professionals to manually identify relevant past cases due to the vast amount of data. Researchers have developed automated systems for determining the similarity between legal documents to address this issue. Our research explores various representations of a legal document and discusses (...) a novel paragraph filtering process to identify key paragraphs using legal citation information to remove unnecessary text paragraphs without disturbing the concept of the legal document. State-of-the-art techniques like TF-IDF, BERT, Legal Bert, Doc2Vec, and Legal-longformer are used for the performance analysis of the proposed approach with document comparison. It has been shown that a model trained on the proposed filtered paragraphs can achieve better results than a model trained on the complete text and can also shorten the document by over 40%. The proposed filtering strategy could be helpful for models like BERT, where the maximum token length is fixed. (shrink)

To an unusual extent, philosophers agree that counterfactuals have truth conditions involving the most similar possible worlds where their antecedents are true, in the style of the celebrated and path‐breaking Stalnaker/Lewis accounts. Roughly, these accounts say that the counterfactual if A were the case, C would be the case is true if and only if at the most similar A‐worlds, C is true. I will argue that there are general structural problems with the appeals to both “the most” and “similar”. (...) I will challenge any fixation on ‘the most __ worlds’, however we fill in the blank with a non‐trivial ordering of worlds: in ignoring worlds that are later in the ordering, it adjudicates various implausibly specific counterfactuals to be true. I will then raise foundational problems for appealing to ‘similarity’—from consequents that are chancy, disjunctive antecedents, and unspecific antecedents more generally. I will also raise further problems for a number of specific proposals for understanding ‘similarity’. A recurring theme will be the tension that may arise between probability and similarity considerations. I will end by arguing for a paradigm shift, replacing ‘the most similar worlds’ approach with one based on conditional chances. (shrink)

Travel route preferences can strongly interact with the events that happened in networked traveling, and this coevolving phenomena are essential in providing theoretical foundations for travel route recommendation and predicting collective behaviour in social systems. While most literature puts the focus on route recommendation of individual scenic spots instead of city travel, we propose a novel approach named City Travel Route Recommendation based on Sequential Events Similarity by applying the coevolving spreading dynamics of the city tour networks (...) and mine the travel spatiotemporal patterns in the networks. First, we present the Event Sequence Similarity Measurement Method based on modelling tourists’ travel sequences. The method can help measure similarities in various city travel routes, which combine different scenic types, time slots, and relative locations. Second, by applying the user preference learning method based on scenic type, we learn from the user’s city travel historical data and compute the personalized travel preference. Finally, we verify our algorithm by collecting data of 54 city travellers of their historical spatiotemporal routes in the ten most popular cities from Mafeng.com. CTRR-SES shows better performance in predicting the user’s new city travel sequence fitting the user’s individual preference. (shrink)

In this study, we investigate the conceptual structure of the metaphor “SIMILARITY IS PROXIMITY.” The results of four experiments suggest a tight mental link between similarity and proximity. Two experiments revealed that people judge entities to be more similar to each other when they are placed closely in space, while two other experiments showed that entities are judged to be closer to each other when they are thought to be more similar. We discuss this bidirectional metaphor transfer effect (...) in light of approaches to metaphor understanding, including the long-standing view that metaphorical mappings are assumed to be asymmetrical. We also consider the implications of this bi-directional mapping for high level cognition. (shrink)

This work presents a computational interpretation of the construction process for cyclic linear logic and non-commutative logic sequential proofs. We assume a proof construction paradigm, based on a normalisation procedure known as focussing, which efficiently manages the non-determinism of the construction. Similarly to the commutative case, a new formulation of focussing for NL is used to introduce a general constraint-based technique in order to dealwith partial information during proof construction. In particular, the procedure develops through construction steps propagating (...) constraints in intermediate objects called abstract proofs. (shrink)

This paper develops a construction-based dialectometry capable of identifying previously unknown constructions and measuring the degree to which a given construction is subject to regional variation. The central idea is to learn a grammar of constructions using construction grammar induction and then to use these constructions as features for dialectometry. This offers a method for measuring the aggregate similarity between regional CxGs without limiting in advance the set of constructions subject to variation. The learned CxG is evaluated on (...) how well it describes held-out test corpora while dialectometry is evaluated on how well it can model regional varieties of English. The method is tested using two distinct datasets: First, the International Corpus of English representing eight outer circle varieties; Second, a web-crawled corpus representing five inner circle varieties. Results show that the method produces a grammar with stable quality across sub-sets of a single corpus that is capable of distinguishing between regional varieties of English with a high degree of accuracy, thus supporting dialectometric methods for measuring the similarity between varieties of English and measuring the degree to which each construction is subject to regional variation. This is important for cognitive sociolinguistics because it operationalizes the idea that competition between constructions is organized at the functional level so that dialectometry needs to represent as much of the available functional space as possible. (shrink)

This work presents a novel approach to forecast streaming big time series based on nearest similar patterns. This approach combines a clustering algorithm with a classifier and the nearest neighbours algorithm. It presents two separate stages: offline and online. The offline phase is for training and finding the best models for clustering, classification and the nearest neighbours algorithm. The online phase is to predict big time series in real time. In the offline phase, data are divided into (...) clusters and a forecasting model based on the nearest neighbours is trained for each cluster. In addition, a classifier is trained using the cluster assignments previously generated by the clustering algorithm. In the online phase, the classifier predicts the cluster label of an instance, and the proper nearest neighbours model according to the predicted cluster label is applied to obtain the final prediction using the similar patterns. The algorithm is able to be updated incrementally for online learning from data streams. Results are reported using electricity consumption with a granularity of |$10$| minutes for 4-hour-ahead forecasting and compared with well-known online benchmark learners, showing a remarkable improvement in prediction accuracy. (shrink)

A sample of tourists responded to a survey addressing purchasing intentions and consumption motives in relation to buying sustainable groceries at a local food market. These intentions and motives were contrasted for two consumption contexts: on vacation vs. at home. An initial analysis of the data indicated that self-reported purchasing intentions were weaker for a vacation scenario than for a home scenario. Further analyses suggested that motives associated with purchasing intentions were not universal between contexts. At home, normative motives were (...) positively associated with intentions, whereas other motives failed to explain significant variance. On vacation, associations with intentions followed a similar pattern, except for the finding that hedonic motives added explanatory variance. Despite the increased importance of hedonic motives on vacation compared to at home, normative motives showed the strongest association with purchasing intentions in both consumption contexts. The findings are discussed with reference to the literature on contextual discrepancies in environmental behavior, while noting possible implications for promoting sustainable consumption among tourists. (shrink)

Research on salesperson creativity remains as one of the most under-researched topics in the sales literature despite the evidence that encouraging creativity in the sales domain is a source of competitive advantage. This paper aims to fill this research gap by exploring the influence of perceived ethical climate on salesperson creative performance, paying special attention to the role that emotions play in this process. Data provided by 176 supervisor–salesperson dyads confirm that the trust/responsibility dimension of an ethical climate is positively (...) related to salesperson creative selling by increasing salespeople's organizational pride. Similarly, the perception of unethical selling practices negatively affects salesperson organizational pride, reducing the expression of creative behaviors. Moreover, the negative effect of unethical selling practices on creative performance is stronger (more negative) when salespeople's identification with an organization increases. Managerial implications and future research directions are also addressed. (shrink)

This article examines two questions pertaining to the extension of infertility treatment to postmenopausal women. First, what concepts and principles of infertility practice apply to assisted reproduction for the postmenopausal patient? Second, what role should these concepts play in the development of an ethical justification for extending women's reproductive lives past the menopausal boundary? The argument offered here supports their claim to infertility services on the basis of the formal principle of justice, which requires that similar cases be treated similarly. (...) The cases of many postmenopausal patients are argued to be relevantly similar to classes of patients who already receive assistance in reproduction. (shrink)

Recently, interest has surged in similarity-based epistemologies of possibility. However, it has been pointed out that the notion of ‘relevant similarity’ is not properly developed in this literature. In this paper, I look at the research done in the field of analogical reasoning, where we find that one of the most promising ways of capturing relevance in similarity reasoning is by relying on the predictive analogy similarity relation. This takes relevant similarity to be (...) class='Hi'>based on shared properties that have structural relations to the property of interest. I argue that if we base our epistemology of possibility on similarity reasoning on the predictive analogy similarity relation, we require prior knowledge of the specifics of these structural relations. I discuss a number of possible responses to this on behalf of the similarity theorists given their methodological approach to the epistemology of modality more generally. They could either opt for making explicit the metaphysics underlying these structural relations, in which case they need to spell out how we can come to know these relations. Or they could opt for developing a theory that explains why we do not need to have explicit knowledge of these structural relations; for example by suggesting that we make use of epistemic shortcuts. (shrink)

Machine learning and essentialism have been connected in the past by various researchers, in order to state that the main paradigm in machine learning processes is equivalent to choosing the “essential” attributes for the machine to search for. Our goal in this paper is to show that there are connections between machine learning and essentialism, but only for some kinds of machine learning, and often not including deep learning methods. Similarity-based approaches, more connected to the overall prototype theory, (...) spanning from psychology and linguistics, seem more suited for pattern recognition and complex deep-learning issues, while for classification problems, mostly for unsupervised learning, essentialism seems like the best choice. In order to illustrate the difference better, we will connect both paths to their sources in other disciplines and see how human psychology influences our decision in machine-learning modeling as well. This leads to a philosophically very interesting consequence: even in the setting of supervised machine learning, essences are not present in data, but in targets, which in turn means that the categories which purport to be essences are in fact human-made, and hand-coded in the targets. The success of machine learning, therefore, does not give any substantial evidence for the independent existence of essential properties. Our stance here is to state that neither the existence nor the lack of “essential” properties in machine learning can lead to metaphysical, i.e., ontological claims. (shrink)

Despite ample evidence of the efficacy and effectiveness of evidence-based parenting programmes (EBPPs) within research-led environments, there is very little evidence of maintenance of effectiveness when programmes are delivered as part of regular service provision. The present study examined the effectiveness of EBPPs provided during a period of sustained service-led implementation in comparison to research-led effectiveness evaluation. Data from 3706 parents who received EBPPs during sustained implementation by services were compared to data from 1390 parents who had participated in (...) an earlier researcher-led effectiveness trial of a national roll-out of EBPPs in England. In both phases, parents completed measures of child behaviour problems, parenting style and parental mental well-being prior to starting parenting programmes (pre-test), at the end of the programmes (post) and at 12-months follow up. Results from Generalised Estimating Equations controlling for potential covariates indicated significant improvements in child behaviour problems during sustained implementation, similar to the effectiveness phase; significant improvements in parenting style which were larger than the effectiveness phase at 12-month follow up; and significant improvements in parental mental well- being. Our findings demonstrate effective maintenance of gains when EBPPs are provided as part of regular provision across a large sample of English parents. Successful long-term implementation should consider effectiveness of EBPPs across the population, given the large contextual changes that take place between researcher-led evaluations and service take-up. Our findings support the integration of EBPPs in public health approaches to addressing child behaviour problems and parent well-being. (shrink)

Computational models of meaning trained on naturally occurring text successfully model human performance on tasks involving simple similarity measures, but they characterize meaning in terms of undifferentiated bags of words or topical dimensions. This has led some to question their psychological plausibility (Murphy, 2002;Schunn, 1999). We present here a fully automatic method for extracting a structured and comprehensive set of concept descriptions directly from an English part‐of‐speech‐tagged corpus. Concepts are characterized by weighted properties, enriched with concept–property types that approximate (...) classical relations such as hypernymy and function. Our model outperforms comparable algorithms in cognitive tasks pertaining not only to concept‐internal structures (discovering properties of concepts, grouping properties by property type) but also to inter‐concept relations (clustering into superordinates), suggesting the empirical validity of the property‐based approach. (shrink)

Similarity underlies fundamental cognitive capabilities such as memory, categorization, decision making, problem solving, and reasoning. Although recent approaches to similarity appreciate the structure of mental representations, they differ in the processes posited to operate over these representations. We present an experiment that differentiates among extant structural accounts of similarity in their ability to account for patterns of similarity ratings. These data pose a challenge for transformation‐based models and all but one mapping‐based model, the (...) class='Hi'>Similarity as Interactive Activation and Mapping (SIAM) model of similarity. (shrink)

These are the working notes of the workshop on Model-based and Qualitative Reasoning in Biomedicine, which was held during the European Conference on Artificial Intelligence in Medicine, AIME’03, on 19th October, 2003, in Protaras, Cyprus. The workshop brought together various researchers involved in the development and use of model-based and qualitative reasoning methods in tackling biomedical problems. Much of the biomedical knowledge is essentially model-based, as it is the understanding of the structure and function of biomedical systems (...) that researchers wish to achieve, and this is best done by developing models of these systems. In situations where it may not be appropriate or possible to use quantitative methods, researchers use qualitative approaches. Depending on the biomedical problem concerned, such descriptions may involve causal, temporal and spatial knowledge, possibly of an uncertain nature. Also in the medical management of disorders in patients, qualitative and model-based approaches are being used. For example, systems used for diagnosing disease rely on explicit models of normal or abnormal structure and behaviour (often referred to as ’first-principles models’) of the underlying disease process. Qualitative knowledge plays a role in the modelling of disease and treatment processes, including the handling of the uncertainty involved in these processes. Hence, there is little doubt that model-based and qualitative methods fit the biomedical domain really well. However, one of the problems with research in the biomedical field is that researchers applying model-based and qualitative-reasoning methods are often closely linked to their application field, such as, for example, cell biology or clinical medicine, and find it difficult to keep in contact with colleagues doing similar research, but working in a different biomedical application field. This is even more difficult if the techniques used are also different. For example, researchers involved in Bayesian network research and researchers using qualitative simulation methods hardly exchange views and ideas, despite the fact that their methods have in common that they emphasise representing qualitative biomedical knowledge. It was the aim of this workshop to bring together researchers along the entire spectrum of the biomedical field, from health-care research and clinical medicine to human biology, using a variety of methods and techniques, from (qualitative) Bayesian networks and symbolic machine learning, to qualitative simulation.. (shrink)

The aim of this paper is to indicate the systematic place of arguments based on the concept of analogy within the theoretical framework of the Periodic Table of Arguments, a new method for describing and classifying arguments that integrates traditional dialectical accounts of arguments and fallacies and rhetorical accounts of the means of persuasion (logos, ethos, pathos) into a comprehensive framework. The paper begins with an inventory of existing approaches to arguments based on analogy, similarity and adjacent (...) concepts. Then, the theoretical framework of the table will be expounded and several concrete examples of arguments based on these concepts will be analyzed in terms of the framework. Finally, the results of these analyses will be summarized and it will be indicated how they can be refined in further research related to the Periodic Table of Arguments. (shrink)

Within the last decade, several approaches using quaternion numbers to handle and model multiband images in a holistic manner were introduced. The quaternion Fourier transform can be efficiently used to model texture in multidimensional data such as color images. For practical application, multispectral satellite data appear as a primary source for measuring past trends and monitoring changes in forest carbon stocks. In this work, we propose a texture-color descriptor based on the quaternion Fourier transform to extract relevant information from (...) multiband satellite images. We propose a new multiband image texture model extraction, called FOTO++, in order to address biomass estimation issues. The first stage consists in removing noise from the multispectral data while preserving the edges of canopies. Afterward, color texture descriptors are extracted thanks to a discrete form of the quaternion Fourier transform, and finally the support vector regression method is used to deduce biomass estimation from texture indices. Our texture features are modeled using a vector composed with the radial spectrum coming from the amplitude of the quaternion Fourier transform. We conduct several experiments in order to study the sensitivity of our model to acquisition parameters. We also assess its performance both on synthetic images and on real multispectral images of Cameroonian forest. The results show that our model is more robust to acquisition parameters than the classical Fourier Texture Ordination model. Our scheme is also more accurate for aboveground biomass estimation. We stress that a similar methodology could be implemented using quaternion wavelets. These results highlight the potential of the quaternion-based approach to study multispectral satellite images. (shrink)

According to N. Goodman, the Carnapian notion of similarity is useless in science and without interest for philosophy. In our paper we suggest that, given the current role that the notion of similarity has in managing biomedical big data, this drastic position should be revised, and similarity should be provided a scientifically useful philosophical interpretation. With the advent of the new sequencing technologies, imaging technologies and with the improvements of health records, the number of genomics, post-genomics and (...) clinical data has exponentially increased. The deluge of data has urged, among others, to devise a new way of stratifying patients. A solution has been found and it is based exactly on the notion of similarity. By discussing two examples focusing on similarity among breast cancer patients, in the paper we illustrate such a use, and analyze it from a philosophical standpoint by resorting to A. Tversky’s features matching approach. We believe that the latter can foster some better understanding of the meaning and current use of similarity in the context of biomedical big data, and that, therefore, be the focus of further reflections in the philosophy of science, in particular in the philosophy of biomedicine. (shrink)

Online social networks are highly dynamic and sparse. One of the main problems in analyzing these networks is the problem of predicting the existence of links between users on these networks: the link prediction problem. Many studies have been conducted to predict links using a variety of techniques like the decision tree and the logistic regression approaches. In this work, we will illustrate the use of the rough set theory in predicting links over the Facebook social network based on (...) homophilic features. Other supervised learning algorithms are also employed in our experiments and compared with the rough set classifier, such as naive Bayes, J48 decision tree, support vector machine, logistic regression, and multilayer perceptron neural network. Moreover, we studied the influence of the “common groups” and “common page likes” homophilic features on predicting friendship between users of Facebook, and also studied the effect of using the Jaccard coefficient in measuring the similarity between users’ homophilic attributes compared with using the overlap coefficient. We conducted our experiments on two different datasets obtained from the Facebook online social network, where users in each dataset live within the same geographical region. The results showed that the rough set classifier significantly outperformed the other classifiers in all experiments. The results also demonstrated that the common groups and the common page likes features have a significant influence on predicting the friendship between users of Facebook. Finally, the results revealed that using the overlap coefficient homophilic features provided better results than that of the Jaccard coefficient features. (shrink)

This paper proposes a formal top-level model of explaining the outputs of machine-learning-based decision-making applications and evaluates it experimentally with three data sets. The model draws on AI & law research on argumentation with cases, which models how lawyers draw analogies to past cases and discuss their relevant similarities and differences in terms of relevant factors and dimensions in the problem domain. A case-based approach is natural since the input data of machine-learning applications can be seen as (...) cases. While the approach is motivated by legal decision making, it also applies to other kinds of decision making, such as commercial decisions about loan applications or employee hiring, as long as the outcome is binary and the input conforms to this paper’s factor- or dimension format. The model is top-level in that it can be extended with more refined accounts of similarities and differences between cases. It is shown to overcome several limitations of similar argumentation-based explanation models, which only have binary features and do not represent the tendency of features towards particular outcomes. The results of the experimental evaluation studies indicate that the model may be feasible in practice, but that further development and experimentation is needed to confirm its usefulness as an explanation model. Main challenges here are selecting from a large number of possible explanations, reducing the number of features in the explanations and adding more meaningful information to them. It also remains to be investigated how suitable our approach is for explaining non-linear models. (shrink)

The American Institute of certified public accountants (AICPA) has promulgated a Code of Professional Conduct , which has served as the primary ethical standard for public accountants in the United States for more than 20 years. It is now out of date and needs to be replaced with a code of ethics. Just as U.S. generally accepted accounting principles are being migrated toward “principles-based accounting” as part of a convergence with international financial reporting standards, a similar process needs to (...) occur with ethics. This article organizes the primary rules of the AICPA Code around five essential virtues: objectivity, integrity, inquisitiveness, loyalty, and trustworthiness. These virtues correspond to the general principles set forth in the Code of Ethics for Professional Accountants of the International Federation of Accountants (IFAC). From this virtue ethics perspective, various rules of the AICPA Code are critiqued as being inadequate at best, and poorly crafted at worst. The article concludes with the proposition that principles-based ethics serves the profession and the financial reporting process better than the current rules-based approach. (shrink)

BACKGROUND -/- The importance of ontologies in the biomedical domain is generally recognized. However, their quality is often too poor for large-scale use in critical applications, at least partially due to insufficient training of ontology developers. -/- OBJECTIVE -/- To show the efficacy of guideline-based ontology development training on the performance of ontology developers. The hypothesis was that students who received training on top-level ontologies and design patterns perform better than those who only received training in the basic principles (...) of formal ontology engineering. -/- METHODS -/- A curriculum was implemented based on a guideline for ontology design. A randomized controlled trial on the efficacy of this curriculum was performed with 24 students from bioinformatics and related fields. After joint training on the fundamentals of ontology development the students were randomly allocated to two groups. During the intervention, each group received training on different topics in ontology development. In the assessment phase, all students were asked to solve modeling problems on topics taught differentially in the intervention phase. Primary outcome was the similarity of the students’ ontology artefacts compared with gold standard ontologies developed by the authors before the experiment; secondary outcome was the intra-group similarity of group members’ ontologies. -/- RESULTS -/- The experiment showed no significant effect of the guideline-based training on the performance of ontology developers (a) the ontologies developed after specific training were only slightly but not significantly closer to the gold standard ontologies than the ontologies developed without prior specific training; (b) although significant differences for certain ontologies were detected, the intra-group similarity was not consistently influenced in one direction by the differential training. -/- CONCLUSION -/- Methodologically limited, this study cannot be interpreted as a general failure of a guideline-based approach to ontology development. Further research is needed to increase insight into whether specific development guidelines and practices in ontology design are effective. (shrink)

The ramifications of modernity and the resultant challenges compelled Ottoman intellectuals and state officials to contemplate matters like as innovation, progress, and change. The pursuit of remedies to eradicate political, military, and economic deficiencies was similarly evident in the legal domain. Ziya Gökalp articulated his perspectives on the origins, societal efficacy, and adaptability of law within the framework of the Turkism movement, presenting several methodologies that redefined the interplay among religion, law, society, and state. The most characteristic method among them (...) is the internal sociological methodology of law, which he equated with his own identity. Other Turkist figures of the time supported this theory, which aimed to bring dynamism to Islamic law in line with modern demands and changing conditions, as well as to establish a national law-society-state relationship. Another approach put forward by Gökalp was based on the distinction between legal (qāḍāī) and ethical/spiritual (diyānī) aspects that were established in traditional Islamic law. In Gökalp's intellectual life that extends from the last years of the Ottoman Empire to the first years of the Republic, two different stages stand out. Gökalp, who tended to restructure jurisprudential concepts with an original interpretation in the late Ottoman period, became a persistent defender of the distinction between religion and state as well as religion and law in the Republican period. However, he did not deny the role of religion in the existence of the nation and emphasized the place of religious institutions, such as the office of Sheikhul-Islam, in the Republican period. Although he took the traditional jurisprudential perspectives into consideration, he could not escape from the criticism of his fellow intellectuals such as İzmirli İsmail Hakkı, who represented the traditional understanding. This article addresses Ziya Gökalp's views that he developed on fiqh and sociology in the Turkish modernisation process and sheds light on the possible reflections of these views on the Republican period. (shrink)

A simple recurrent artificial neural network is used to classify situations as permissible or impermissible. The trained ANN can be understood as having set up a similarity space of cases at the level of its internal or hidden units. An analysis of the network’s internal representations is undertaken using a new visualization technique for state space approaches to understanding similarity. Insights from the literature on moral philosophy pertaining to contributory standards will be used to interpret the state space (...) set up by the ANN as being structured by implicit reasons. The ANN, on its own, is not capable of explicitly representing or offering reasons to itself or others. That said, the low level similarity space set up by the network could be made available to higher order processes that exploit it for case-based reasoning. It is argued that for normative purposes, similarity could be seen as a contributor to procedural coherence in case-based reasoning and local forms of substantive coherence, but not to global forms of coherence given the computational complexity of managing those more ambitious forms of coherence. (shrink)

Text document classification and clustering is an important learning task which fits to both data mining and machine learning areas. The learning task throws several challenges when it is required to process high dimensional text documents. Word distribution in text documents plays a very key role in learning process. Research related to high dimensional text document classification and clustering is usually limited to application of traditional distance functions and most of the research contributions in the existing literature did not consider (...) the word distribution in documents. In this research, we propose a novel similarity function for feature pattern clustering and high dimensional text classification. The similarity function proposed is used to carry supervised learning based dimensionality reduction. The important feature of this work is that the word distribution before and after dimensionality reduction is the same. Experiment results prove the proposed approach achieves dimensionality reduction, retains the word distribution and obtained better classification accuracies compared to other measures. (shrink)

This commentary analyzes the target article to determine whether shared-intention development could be implemented and tested in robotic systems. The analysis indicates that such an implementation should be feasible and will likely rely on a construction-based approach similar to that employed in the construction grammar framework.

Suppose a speaker S and an audience A are in a communication coordination problem. That is, for some proposition p, they each prefer that S mean that p and that A believe p in response. How do they coordinate their thought and action to solve the problem? The Gricean answer is that they reason their way to the solution. Pragmatics makes a similar assumption. “Pragmatics involves perception augmented by some species of ‘ampliative’ inference … a sort of reasoning”. There are (...) two objections. The first is that it is not plausible to attribute such reasoning to speakers and audiences. The second objection grants, for the sake of argument, that speakers and audiences reason in the required ways. The objection is that this is not sufficient to solve coordination problems since a speaker and an audience may not know how each has reasoned. The problem is well-known in game theory, which typically solves it by assuming the parties’ preferences are common knowledge. Common knowledge is the recursive belief state in which people are know something, know they know it, know they know they know it, ad infinitum. I propose a similar solution. When people interact as speaker and audience, common knowledge arises from their perceptions of each other as fulfilling the roles of speaker and audience. The account of how common knowledge arises entails Grice’s general characterization of conversational implicatures. More precisely, it entails speakers and audiences involved in communication coordination problems typically commonly know that a relevant instance of the conditions holds. The common knowledge approach requires attributing reasoning to speakers and audiences, but it keeps those attributions to a plausible minimum. Thus the common knowledge approach is a viable alternative to current approaches that attribute extensive reasoning to speakers and audiences.A common knowledge-based approach to pragmatics would answer at least the following question: What informative generalizations are possible about the role of contexts in generating common knowledge relevant to conversational implicatures? The question is important. “Much has been learned about these domains of psychology from a focus on the problem of altruistic cooperation and the mechanisms of reciprocity. We hope that comparable insights are waiting to be discovered by psychologists as they investigate the problem of mutualistic cooperation, and the mechanisms of common knowledge are—as we might say—put out there”. (shrink)