This chapter presents two models of priming. The primary task under consideration is the identification of words presented visually at threshold. The first model, REMI, is a model for long-term priming in implicit memory. It explains repetition priming effects by assuming that during study of a word some contextual information is added to the corresponding lexical trace. This contextual information stored during the study task will tend to match the contextual information present during the test task, leading subjects to prefer (...) studied words over non-studied words. The second model, ROUSE, is a model of short-term priming. ROUSE stands for Responding Optimally with Unknown Sources of Evidence, and it is able to explain an intricate pattern of results. (shrink)

This article reviews current methods for evaluating models in the cognitive sciences, including theoretically based approaches, such as Bayes factors and minimum description length measures; simulation approaches, including model mimicry evaluations; and practical approaches, such as validation and generalization measures. This article argues that, although often useful in specific settings, most of these approaches are limited in their ability to give a general assessment of models. This article argues that hierarchical methods, generally, and hierarchical Bayesian methods, specifically, can provide a (...) more thorough evaluation of models in the cognitive sciences. This article presents two worked examples of hierarchical Bayesian analyses to demonstrate how the approach addresses key questions of descriptive adequacy, parameter interference, prediction, and generalization in principled and coherent ways. (shrink)

The field of psychology, including cognitive science, is vexed by a crisis of confidence. Although the causes and solutions are varied, we focus here on a common logical problem in inference. The default mode of inference is significance testing, which has a free lunch property where researchers need not make detailed assumptions about the alternative to test the null hypothesis. We present the argument that there is no free lunch; that is, valid testing requires that researchers test the null against (...) a well-specified alternative. We show how this requirement follows from the basic tenets of conventional and Bayesian probability. Moreover, we show in both the conventional and Bayesian framework that not specifying the alternative may lead to rejections of the null hypothesis with scant evidence. We review both frequentist and Bayesian approaches to specifying alternatives, and we show how such specifications improve inference. The field of cognitive science will benefit because consideration of reasonable alternatives will undoubtedly sharpen the intellectual underpinnings of research. (shrink)

After more than 15 years of study, the 1/f noise or complex-systems approach to cognitive science has delivered promises of progress, colorful verbiage, and statistical analyses of phenomena whose relevance for cognition remains unclear. What the complex-systems approach has arguably failed to deliver are concrete insights about how people perceive, think, decide, and act. Without formal models that implement the proposed abstract concepts, the complex-systems approach to cognitive science runs the danger of becoming a philosophical exercise in futility. The complex-systems (...) approach can be informative and innovative, but only if it is implemented as a formal model that allows concrete prediction, falsification, and comparison against more traditional approaches. (shrink)

The Jeffreys–Lindley paradox exposes a rift between Bayesian and frequentist hypothesis testing that strikes at the heart of statistical inference. Contrary to what most current literature suggests, the paradox was central to the Bayesian testing methodology developed by Sir Harold Jeffreys in the late 1930s. Jeffreys showed that the evidence for a point-null hypothesis $${\mathcal {H}}_0$$ H 0 scales with $$\sqrt{n}$$ n and repeatedly argued that it would, therefore, be mistaken to set a threshold for rejecting $${\mathcal {H}}_0$$ H 0 (...) at a constant multiple of the standard error. Here, we summarize Jeffreys’s early work on the paradox and clarify his reasons for including the $$\sqrt{n}$$ n term. The prior distribution is seen to play a crucial role; by implicitly correcting for selection, small parameter values are identified as relatively surprising under $${\mathcal {H}}_1$$ H 1. We highlight the general nature of the paradox by presenting both a fully frequentist and a fully Bayesian version. We also demonstrate that the paradox does not depend on assigning prior mass to a point hypothesis, as is commonly believed. (shrink)

A frequentist confidence interval can be constructed by inverting a hypothesis test, such that the interval contains only parameter values that would not have been rejected by the test. We show how a similar definition can be employed to construct a Bayesian support interval. Consistent with Carnap’s theory of corroboration, the support interval contains only parameter values that receive at least some minimum amount of support from the data. The support interval is not subject to Lindley’s paradox and provides an (...) evidence-based perspective on inference that differs from the belief-based perspective that forms the basis of the standard Bayesian credible interval. (shrink)

The probabilistic approach to human reasoning is exemplified by the information gain model for the Wason card selection task. Although the model is elegant and original, several key aspects of the model warrant further discussion, particularly those concerning the scope of the task and the choice process of individuals.

Most models of response time (RT) in elementary cognitive tasks implicitly assume that the speed-accuracy trade-off is continuous: When payoffs or instructions gradually increase the level of speed stress, people are assumed to gradually sacrifice response accuracy in exchange for gradual increases in response speed. This trade-off presumably operates over the entire range from accurate but slow responding to fast but chance-level responding (i.e., guessing). In this article, we challenge the assumption of continuity and propose a phase transition model for (...) RTs and accuracy. Analogous to the fast guess model (Ollman, 1966), our model postulates two modes of processing: a guess mode and a stimulus-controlled mode. From catastrophe theory, we derive two important predictions that allow us to test our model against the fast guess model and against the popular class of sequential sampling models. The first prediction—hysteresis in the transitions between guessing and stimulus-controlled behavior—was confirmed in an experiment that gradually changed the reward for speed versus accuracy. The second prediction—bimodal RT distributions—was confirmed in an experiment that required participants to respond in a way that is intermediate between guessing and accurate responding. (shrink)

This Editorial reports an exchange in form of a comment and reply on the article “History and Nature of the Jeffreys–Lindley Paradox” (Arch Hist Exact Sci 77:25, 2023) by Eric-Jan Wagenmakers and Alexander Ly.

Jones & Love (J&L) suggest that Bayesian approaches to the explanation of human behavior should be constrained by mechanistic theories. We argue that their proposal misconstrues the relation between process models, such as the Bayesian model, and mechanisms. While mechanistic theories can answer specific issues that arise from the study of processes, one cannot expect them to provide constraints in general.

It is a hallmark of a good model to make accurate a priori predictions to new conditions (Busemeyer & Wang, 2000). This study compared 8 decision learning models with respect to their generalizability. Participants performed 2 tasks (the Iowa Gambling Task and the Soochow Gambling Task), and each model made a priori predictions by estimating the parameters for each participant from 1 task and using those same parameters to predict on the other task. Three methods were used to evaluate the (...) models at the individual level of analysis. The first method used a post hoc fit criterion, the second method used a generalization criterion for short‐term predictions, and the third method again used a generalization criterion for long‐term predictions. The results suggest that the models with the prospect utility function can make generalizable predictions to new conditions, and different learning models are needed for making short‐versus long‐term predictions on simple gambling tasks. (shrink)

Information about the structure of a causal system can come in the form of observational data—random samples of the system's autonomous behavior—or interventional data—samples conditioned on the particular values of one or more variables that have been experimentally manipulated. Here we study people's ability to infer causal structure from both observation and intervention, and to choose informative interventions on the basis of observational data. In three causal inference tasks, participants were to some degree capable of distinguishing between competing causal hypotheses (...) on the basis of purely observational data. Performance improved substantially when participants were allowed to observe the effects of interventions that they performed on the systems. We develop computational models of how people infer causal structure from data and how they plan intervention experiments, based on the representational framework of causal graphical models and the inferential principles of optimal Bayesian decision‐making and maximizing expected information gain. These analyses suggest that people can make rational causal inferences, subject to psychologically reasonable representational assumptions and computationally reasonable processing constraints. (shrink)

Within the literature on emotion and behavioral action, studies on approach-avoidance take up a prominent place. Several experimental paradigms feature successful conceptual replications but many original studies have not yet been replicated directly. We present such a direct replication attempt of two seminal experiments originally conducted by Chen and Bargh (1999). In their first experiment, participants affectively evaluated attitude objects by pulling or pushing a lever. Participants who had to pull the lever with positively valenced attitude objects and push the (...) lever with negatively valenced attitude objects (i.e., congruent instruction) did so faster than participants who had to follow the reverse (i.e., incongruent) instruction. In Chen and Bargh's second experiment, the explicit evaluative instructions were absent and participants merely responded to the attitude objects by either always pushing or always pulling the lever. Similar results were obtained as in Experiment 1. Based on these findings, Chen and Bargh concluded that (1) attitude objects are evaluated automatically; and (2) attitude objects automatically trigger a behavioral tendency to approach or avoid. We attempted to replicate both experiments and failed to find the effects reported by Chen and Bargh as indicated by our pre-registered Bayesian data analyses; nevertheless, the evidence in favor of the null hypotheses was only anecdotal, and definitive conclusions await further study. (shrink)

Diffusion models are widely-used and successful accounts of the time course of two-choice decision making. Most diffusion models assume constant boundaries, which are the threshold levels of evidence that must be sampled from a stimulus to reach a decision. We summarize theoretical results from statistics that relate distributions of decisions and response times to diffusion models with time-varying boundaries. We then develop a computational method for finding time-varying boundaries from empirical data, and apply our new method to two problems. The (...) first problem involves finding the time-varying boundaries that make diffusion models equivalent to the alternative sequential sampling class of accumulator models. The second problem involves finding the time-varying boundaries, at the individual level, that best fit empirical data for perceptual stimuli that provide equal evidence for both decision alternatives. We discuss the theoretical and modeling implications of using time-varying boundaries in diffusion models, as well as the limitations and potential of our approach to their inference. (shrink)

The replicability of findings in experimental psychology can be improved by distinguishing sharply between hypothesis-generating research and hypothesis-testing research. This distinction can be achieved by preregistration, a method that has recently attracted widespread attention. Although preregistration is fair in the sense that it inoculates researchers against hindsight bias and confirmation bias, preregistration does not allow researchers to analyze the data flexibly without the analysis being demoted to exploratory. To alleviate this concern we discuss how researchers may conduct blinded analyses. As (...) with preregistration, blinded analyses break the feedback loop between the analysis plan and analysis outcome, thereby preventing cherry-picking and significance seeking. However, blinded analyses retain the flexibility to account for unexpected peculiarities in the data. We discuss different methods of blinding, offer recommendations for blinding of popular experimental designs, and introduce the design for an online blinding protocol. (shrink)

Theoretical arguments and empirical investigations indicate that a high proportion of published findings do not replicate and are likely false. The current position paper provides a broad perspective on scientific error, which may lead to replication failures. This broad perspective focuses on reform history and on opportunities for future reform. We organize our perspective along four main themes: institutional reform, methodological reform, statistical reform and publishing reform. For each theme, we illustrate potential errors by narrating the story of a fictional (...) researcher during the research cycle. We discuss future opportunities for reform. The resulting agenda provides a resource to usher in an era that is marked by a research culture that is less error-prone and a scientific publication landscape with fewer spurious findings. (shrink)

For decisions between many alternatives, the benchmark result is Hick's Law: that response time increases log-linearly with the number of choice alternatives. Even when Hick's Law is observed for response times, divergent results have been observed for error rates—sometimes error rates increase with the number of choice alternatives, and sometimes they are constant. We provide evidence from two experiments that error rates are mostly independent of the number of choice alternatives, unless context effects induce participants to trade speed for accuracy (...) across conditions. Error rate data have previously been used to discriminate between competing theoretical accounts of Hick's Law, and our results question the validity of those conclusions. We show that a previously dismissed optimal observer model might provide a parsimonious account of both response time and error rate data. The model suggests that people approximate Bayesian inference in multi-alternative choice, except for some perceptual limitations. (shrink)

Common methods for analysing response time (RT) tasks, frequently used across different disciplines of psychology, suffer from a number of limitations such as the failure to directly measure the underlying latent processes of interest and the inability to take into account the uncertainty associated with each individual's point estimate of performance. Here, we discuss a Bayesian hierarchical diffusion model and apply it to RT data. This model allows researchers to decompose performance into meaningful psychological processes and to account optimally for (...) individual differences and commonalities, even with relatively sparse data. We highlight the advantages of the Bayesian hierarchical diffusion model decomposition by applying it to performance on Approach–Avoidance Tasks, widely used in the emotion and psychopathology literature. Model fits for two experimental data-sets demonstrate that the model performs well. The Bayesian hierarchical diffusion model overcomes important limitations of current analysis procedures and provides deeper insight in latent psychological processes of interest. (shrink)

Throughout the biological and biomedical sciences there is a growing need for, prescriptive ‘minimum information’ (MI) checklists specifying the key information to include when reporting experimental results are beginning to find favor with experimentalists, analysts, publishers and funders alike. Such checklists aim to ensure that methods, data, analyses and results are described to a level sufficient to support the unambiguous interpretation, sophisticated search, reanalysis and experimental corroboration and reuse of data sets, facilitating the extraction of maximum value from data sets (...) them. However, such ‘minimum information’ MI checklists are usually developed independently by groups working within representatives of particular biologically- or technologically-delineated domains. Consequently, an overview of the full range of checklists can be difficult to establish without intensive searching, and even tracking thetheir individual evolution of single checklists may be a non-trivial exercise. Checklists are also inevitably partially redundant when measured one against another, and where they overlap is far from straightforward. Furthermore, conflicts in scope and arbitrary decisions on wording and sub-structuring make integration difficult. This presents inhibit their use in combination. Overall, these issues present significant difficulties for the users of checklists, especially those in areas such as systems biology, who routinely combine information from multiple biological domains and technology platforms. To address all of the above, we present MIBBI (Minimum Information for Biological and Biomedical Investigations); a web-based communal resource for such checklists, designed to act as a ‘one-stop shop’ for those exploring the range of extant checklist projects, and to foster collaborative, integrative development and ultimately promote gradual integration of checklists. (shrink)

This book examines the concept of meaning and our general understanding of reality in a legal and philosophical context. Starting from the premise that meaning is a matter of linguistic and other forms of articulation, it considers the inherent philosophical consequences. Part I presents Klages', Derrida's, Von Hofmannsthal's and Wittgenstein's explorations of silence as a source of articulation and meaning. Debates about 20th century psychologism gave the attitude concept a pivotal role; it illustrates the importance of the discovery that a (...) word is globally qualified as 'the basic unit of language'. This is mirrored in the fact that we understand reality as a matter of particles and thus interpret the real as a component of an all-embracing 'particle story'. Each chapter of the book focuses on an aspect of legal semiotics related to the chapter's theme: for instance on the meaning of a Judge's 'Saying for Law', on law students training in varying attitudes or on the ties between law and language. Part II of the book illustrates our general understanding of reality as a matter of particles and partitioning, and examines texts that prove that particle thinking is basic for our meaning concept. It shows that physics, quantum theory, holism, and modern brain research focusing on human linguistic capabilities, confirm their ties to the particle story. In contrast, the book concludes that partitions and particles are neither a fact in the history of the cosmos nor a determinant of knowledge and the sciences, and that meaning is a process: a constellation rather than a fixation. This is manifest once one understands meaning as the result of continuously changing attitudes, which create our narratives on cosmos and creation. The book proposes a new key for meaning: a linguistic occurrence anchored in dimensions of human narrativity. (shrink)

This article examines the political perspective of corporate social responsibility from the standpoint of normative Islam. We argue that large firms within Muslim majority countries have the moral obligation to assist governments in addressing challenges related to sustainable socioeconomic development and in advancing human rights. In substantiating our argument, we draw upon the Islamic business ethics, stakeholder theory, and corporate governance literatures, as well as the concepts of Maqasid al Shariah (the objectives of Islamic law) and fard al ‘ayn (obligation (...) upon all individuals within society) versus fard al kifayah (obligation upon some individuals within society) to introduce a normative model elucidating critical Islamic precepts. Finally, we propose an Islamic “political” corporate governance framework, which democratizes firm decision making by embedding “core” stakeholders, nongovernmental organizations (NGOs), and Shariah scholars in the corporate board, thereby enhancing the ability of businesses to respond to stakeholder concerns and priorities, while mitigating interstakeholder and intraboard power asymmetries. (shrink)

THE STRUCTURALISTIC ENDEAVOUR. THE WORLD AS MUSICAL SCORE The recent decades of this century have witnessed unusually rapid and far- reaching changes in the ...

The question of the philosophical basis of medical science and medical practice is considered under three closely related themes: (i) the doctor-patient relationship, (ii) the structure of the medical-ethical discourse, and (iii) the problem of philosophical founding in relation to medical conduct. The doctor-patient relationship is regarded as a transformational relation. Acceptance of the illness of the patient, the construction of a complaint as a necessary condition — and not a description of an existing reality — as well as the (...) establishment of a common interest are determinants of that relation. They are related to the dominant form of science and thought in medicine, namely application. This is typical for the Standard Medical-Ethical Discussion (SMED), its scope and its rationality. The third issue leads to the thesis that this particular rationality is not a sufficient ground for considering the medical discourse to be founded in philosophy. (shrink)

This volume provides a critical roadmap through the major historical sources of legal semiotics as we know them today. The history of legal semiotics, now at least a century old, has never been written (a non-event itself pregnant with semiotic possibility). As a consequence, its sources are seldom clearly exposed and, as word, object and meaning change, are sometimes lost. They reach from an English translation of the 1916 inaugural lecture of the first Chair in Legal Significs at the Amsterdam (...) University, via mid 20th century studies on "property" or "contract," to equally fascinating essays on contemporary semiotic problems produced by former students of the Roberta Kevelson Semiotics Roundtable Seminar at Penn State University 2012 and 2013. Together, the materials in this book weave the fabric of semiotics and significs, two names for the unfolding of semiotics in law and legal discourse at least until the second half of the 20th century, and both of which covered a lawyer's focus on sign and meaning in law. The latter is embedded within the cultural imperatives of the civilization that gave these terms meaning and made them an effective tool for the dissection of law, its reconstitution as an instrument to be used by the lawyer to advance the interests of her clients, and for judges as a means to restructure language as a narrative of law whose power could bend behavior to its strictures. Legal semiotics has become an indispensible part of the elite lawyer's toolkit and a fundamental approach to analysis of legal texts. Two previous volumes published in 2011 and 2012 explored the conceptual, methodological and epistemological progress in the field of legal semiotics, the modern forms of semiotics study, and the mechanics of meaning making processes by lawyers. Yet the great lessons of semiotics requires a focus on the origins of the concepts and frameworks that would become contemporary legal semiotics, its origins as an object of the consciousness of meaning making-one whose roots, as lessons for the oracular conversations of law, are expanded in this volume. (shrink)

Wat is de plaats van het recht in de samenleving? Hoe fungeert het juridisch discours? Wie is de mens van het recht? Waartoe leiden de semantische transformaties die het recht tot een eigen discours maken? Hoe gaat de maatschappij met het juridisch discours om? Hoe verhoudt het rechtsbeleid zich tot de rechtswetenschap? Hoe verhouden de verschillende vakgebieden binnen het recht zich tot elkaar? Deze en andere vragen tussen rechtsfilosofie, rechtstheorie en rechtspraktijk worden in een collectie wetenschappelijke teksten geconfronteerd met kritische (...) interdisciplinaire benaderingen. Het boek biedt in die zin een kleine encyclopedie van de juridische discipline, gelieerd aan overwegingen van algemene cultuur. (shrink)

Can the law benefit from an evolutionary perspective? This little book shows how the idea of survival of the fittest can help explain legal development and the rise and fall of legal institutions. The reader is invited to join in on a journey of discovery in which the world of Darwin is connected to the topics of legal change, convergence of law, legal complexity, law in hip-hop music and the adoption of the price-payment rule. Exploring these five themes from an (...) evolutionary angle indisputably upsets our traditional view of the law, but it does fit the author's view of academia as a place for cross-disciplinary research steered by curiosity. (shrink)

As the Byzantinist Ihor Ševčenko once observed, "Philology is constituting and interpreting the texts that have come down to us. It is a narrow thing, but without it nothing else is possible." This definition accords with Saussure's succinct description of the mission of philology: "especially to correct, interpret, and comment upon the texts." Philology is not just a grand etymological or lexicographical enterprise. It also involves restoring to works as much of their original life and nuances as we can manage. (...) To read the written records of bygone civilizations correctly requires knowledge of cultural history in a broad sense: of folklore, legends, laws, and customs. Philology also encompasses the forms in which texts express their messages, and thus it includes stylistics, metrics, and similar studies. _On Philology _brings together the papers delivered at a 1988 conference at Harvard University's Center for Literary and Cultural Studies. The topic "What is Philology?" drew an interdisciplinary audience whose main fields of research ran the gamut from ancient Indo-European languages to African-American literature, signaling a certain sense of urgency about a seemingly narrow subject. These papers reveal that the role of philology is more important than ever. At a time when literature in printed form has taken a back seat to television, film, and music, it is crucial that scholars be able to articulate why students and colleagues should care about the books with which they work. Just as knowledge will be lost if philological standards decline, so too will fields of study die if their representatives cannot find meaning for today's readers. _On Philology _will be of interest not only to students of philology but also to anyone working in the fields of hermeneutics, literature, and communication. (shrink)

The book series Linguistische Arbeiten (LA) publishes high-quality work in linguistics that addresses current issues in synchrony and diachrony, theoretically or empirically oriented.

New computer systems of discovery create a research program for logic and philosophy of science. These systems consist of inference rules and control knowledge that guide the discovery process. Their paths of discovery are influenced by the available data and the discovery steps coincide with the justification of results. The discovery process can be described in terms of fundamental concepts of artificial intelligence such as heuristic search, and can also be interpreted in terms of logic. The traditional distinction that places (...) studies of scientific discovery outside the philosophy of science, in psychology, sociology, or history, is no longer valid in view of the existence of computer systems of discovery. It becomes both reasonable and attractive to study the schemes of discovery in the same way as the criteria of justification were studied: empirically as facts, and logically as norms. (shrink)