Research on moral judgment has been dominated by rationalist models, in which moral judgment is thought to be caused by moral reasoning. The author gives 4 reasons for considering the hypothesis that moral reasoning does not cause moral judgment; rather, moral reasoning is usually a post hoc construction, generated after a judgment has been reached. The social intuitionist model is presented as an alternative to rationalist models. The model is a social model in that it deemphasizes the private reasoning done (...) by individuals and emphasizes instead the importance of social and cultural influences. The model is an intuitionist model in that it states that moral judgment is generally the result of quick, automatic evaluations (intuitions). The model is more consistent than rationalist models with recent findings in social, cultural, evolutionary, and biological psychology, as well as in anthropology and primatology. (shrink)

For over a decade neuroscience has uncovered that appropriate decision-making in daily life decisions results from a strong interplay between cognition and covert biases produced by emotional processes. This interplay is particularly important in social contexts: lesions in the pathways supporting these processes provoke serious impairments on social behavior. One important mechanism in social contexts is empathy, fundamental for appropriate social behavior. This paper presents arguments supporting this connection between cognition and emotion, in individual as well as in social contexts. (...) The central claim of this paper is that biologically inspired cognitive architectures ought to include these mechanisms. A taxonomy of computational models addressing emotions is presented, together with a brief survey of the research published in this area. The Prisoner Dilemma game is used as a case study exposing the trade-off between individual rationality and cooperative behavior. Experiments using a simple implementation of empathy and emotion expression, employing an Iterated Prisoner Dilemma setup, illustrate the emergence of a cooperative behavior mutually beneficial for both players. (shrink)

findings from affective neuroscience research. I shall focus mainly on, but in a manner which, I hope is.

"The Emperor's New Mind" by Roger Penrose has received a great deal of both praise and criticism. This review discusses philosophical aspects of the book that form an attack on the "strong" AI thesis. Eight different versions of this thesis are distinguished, and sources of ambiguity diagnosed, including different requirements for relationships between program and behaviour. Excessively strong versions attacked by Penrose (and Searle) are not worth defending or attacking, whereas weaker versions remain problematic. Penrose (like Searle) regards the notion (...) of an algorithm as central to AI, whereas it is argued here that for the purpose of explaining mental capabilities the architecture of an intelligent system is more important than the concept of an algorithm, using the premise that what makes something intelligent is not what it does but how it does it. What needs to be explained is also unclear: Penrose thinks we all know what consciousness is and claims that the ability to judge Go "del's formula to be true depends on it. He also suggests that quantum phenomena underly consciousness. This is rebutted by arguing that our existing concept of "consciousness" is too vague and muddled to be of use in science. This and related concepts will gradually be replaced by a more powerful theory-based taxonomy of types of mental states and processes. The central argument offered by Penrose against the strong AI thesis depends on a tempting but unjustified interpretation of Goedel's incompleteness theorem. Some critics are shown to have missed the point of his argument. A stronger criticism is mounted, and the relevance of mathematical Platonism analysed. Architectural requirements for intelligence are discussed and differences between serial and parallel implementations analysed. (shrink)

Deep Neural Networks (DNNs) are popular for classifying large noisy analogue data. However, DNNs suffer from several known issues, including explainability, efficiency, catastrophic interference, and a need for high‐end computational resources. Our simulations reveal that psychologically‐inspired symbolic deep networks (SDNs) achieve similar accuracy and robustness to noise as DNNs on common ML problem sets, while addressing these issues.

This investigation examined how people’s beliefs about the functionality of emotion shape their emotional response and regulatory strategies when encountering distressing events. In Study 1, we present data supporting the reliability and validity of an 8-item instrument, the Help and Hinder Theories about Emotion Measure (HHTEM), designed to assess an individual’s beliefs about the functionality of emotion. Participants who more strongly endorsed a Help Theory reported greater wellbeing, emotional acceptance, and use of reappraisal to regulate emotion. Participants who more strongly (...) endorsed a Hinder Theory reported less wellbeing and more expressive suppression and substance use. In Study 2, we demonstrate that encouraging participants to view emotion as helpful affected their physiological and regulatory response to a distressing event. Participants in the Help Theory condition showed greater physiological reactivity (SCL) during a distressing film than control participants but were more accepting of their emotional response. Shortly after the film, SCL decreased for participants in the Help Theory condition. Compared to control participants, they engaged in less suppression and reported less lingering effect of the film on their mood. Together, these studies suggest that people’s theories about the functionality of emotion influence their reactivity, the strategies they adopt to regulate emotion, and their ability to rebound after distressing events. (shrink)

I begin this article with an increasingly accepted claim: that emotions lend differential weight to states of affairs, helping us conceptually carve the world and make rational decisions. I then develop a more controversial assertion: that environments have non-subjective emotional qualities, which organize behavior and help us make sense of the world. I defend this from ecological and related embodied standpoints that take properties to be interrelational outcomes. I also build on conceptions of experience as a cultural phenomenon, one that (...) coheres around shared environmental contours and public emotional concerns, introducing normative constraints (or what might be called “world grammars”). Endorsing this outlook suggests an argument for the view that cultural spaces have affectively charged, non-subjective, normative openings and closures. These openings and closures engender selectively permeable barriers which cordon space without physically preventing entry, as seen with decorative half walls and elevation changes. An area with such barriers may look emotionally hostile to, say, the dispirited homeless who are in fact less welcome there. Outcomes like these might be thought of as “political affordances.” These affordances can be regarded as normative openings and closures that implicitly filter, and hence segregate, according to various social divisions. Although registering political affordances requires more than the detection of ambient arrays, the notion retains core Gibsonian ideas: that affordances are values, that these values are linked with how a space can be used, and that the existence and nature of such affordances is not a subjective matter. (shrink)

Philosophy of the Social Sciences, Volume 51, Issue 6, Page 574-599, December 2021. In “Different Cultures, Different Rationalities” Stephen Lukes weighs in on the controversies concerning the killing of Captain Cook by Hawaiians and what it says about the role of rationality assumptions in translation. While at first seeming to adopt a Davidsonian anti-relativist position concerning the enabling role of assumptions of common rationality in interpretation, Lukes rejects Davidson’s view, and opts instead for a “totalizing” strategy inspired by Mauss. Here (...) I explore rationales for Lukes’ position and endeavor to reconcile Lukes’, Davidson’s, and Mauss’s positions by developing a case for a limited interpretive requirement of shared rationality. (shrink)

This collection of articles is almost all of the psychological writings of Mark Pettinelli.

A widely cited roadblock to bridging ecological psychology and enactivism is that the former identifies with realism and the latter identifies with constructivism, which critics charge is subjectivist. A pragmatic reading, however, suggests non-mental forms of constructivism that simultaneously fit core tenets of enactivism and ecological realism. After advancing a pragmatic version of enactive constructivism that does not obviate realism, I reinforce the position with an empirical illustration: Physarum polycephalum (a slime mold), a communal unicellular organism that leaves slime trails (...) that form chemical barriers that it avoids in foraging explorations. Here, environmental building and sensorimotor engagement are part of the same process with P. polycephalum coordinating around self-created, affordance-bearing geographies, which nonetheless exist independently in ways described by ecological realists. For ecological psychologists, affordances are values, meaning values are external to the perceiver. I argue that agent-enacted values have the same status and thus do not obviate ecological realism or generate subjectivism. The constructivist-realist debate organizes around the emphasis that enactivists and ecological theorists respectively place on the inner constitution of organisms vs. the structure of environments. Building on alimentary themes introduced in the P. polycephalum example and also in Gibson’s work, I go on to consider how environment, brain, visceral systems, and even bacteria within them enter perceptual loops. This highlights almost unfathomable degrees of mutually modulating internal and external synchronization. It also shows instances in which internal conditions alter worldly configurations and invert values, in Gibson’s sense of the term, albeit without implying subjectivism. My aim is to cut across the somatic focus of enactive constructivism and the external environment-oriented emphasis of ecological realism and show that enactivism can enrich ecological accounts of value. (shrink)

This paper explores the nature of emotions by considering what appear to be two differing, perhaps even conflicting, approaches to affectivity—an evolutionary functional account, on the one hand, and a phenomenological view, on the other. The paper argues for the centrality of the notion of function in both approaches, articulates key differences between them, and attempts to understand how such differences can be overcome.

This book reports on the results of the third edition of the premier conference in the field of philosophy of artificial intelligence, PT-AI 2017, held on November 4 - 5, 2017 at the University of Leeds, UK. It covers: advanced knowledge on key AI concepts, including complexity, computation, creativity, embodiment, representation and superintelligence; cutting-edge ethical issues, such as the AI impact on human dignity and society, responsibilities and rights of machines, as well as AI threats to humanity and AI safety; (...) and cutting-edge developments in techniques to achieve AI, including machine learning, neural networks, dynamical systems. The book also discusses important applications of AI, including big data analytics, expert systems, cognitive architectures, and robotics. It offers a timely, yet very comprehensive snapshot of what is going on in the field of AI, especially at the interfaces between philosophy, cognitive science, ethics and computing. (shrink)

Our approach to emotion emphasized three key ingredients. We do not yet have a mature science of emotion, or even a consensus view—in this respect we are more hesitant than Sander, Grandjean, and Scherer or Luiz Pessoa. Relatedly, a science of emotion needs to be highly interdisciplinary, including ecology, psychology, neuroscience, and philosophy. We recommend a functionalist view that brackets conscious experiences and that essentially treats emotions as latent variables inferred from a number of measures. But our version of functionalism (...) is not definitional or ontological. It is resolutely methodological, in good part because it is too early to attempt definitions. (shrink)

We defend a functionalist approach to emotion that begins by focusing on emotions as central states with causal connections to behavior and to other cognitive states. The approach brackets the conscious experience of emotion, lists plausible features that emotions exhibit, and argues that alternative schemes are unpromising candidates. We conclude with the benefits of our approach: one can study emotions in animals; one can look in the brain for the implementation of specific features; and one ends up with an architecture (...) of the mind in which emotions are fully accommodated through their relations to the rest of cognition. Our article focuses on arguing for this general approach; as such, it is an essay in the philosophy of emotion rather than in the psychology or neuroscience of emotion. (shrink)

Even though researchers regularly use neutral affect induction procedures as a control condition in their work, there is little consensus on what is neutral affect. This article reviews five approaches that researchers have used to operationalize neutral AIPs: to produce a minimal affective state, in-the-middle state, deactivated state, typical state, or indifferent state. For each view, the article delineates the theoretical basis for the neutral AIP, how to assess it, and provides recommendations for when and how to use it. The (...) goal of the article is to encourage researchers to state their theoretical assumptions about neutral affect, to validate those assumptions, and to make appropriate conclusions based on them. (shrink)

Wants, preferences, and cares are physical things or events, not ideas or propositions, and therefore no chain of pure logic can conclude with a want, preference, or care. It follows that no pure-logic machine will ever want, prefer, or care. And its behavior will never be driven in the way that deliberate human behavior is driven, in other words, it will not be motivated or goal directed. Therefore, if we want to simulate human-style interactions with the world, we will need (...) to first understand the physical structure of goal-directed systems. I argue that all such systems share a common nested structure, consisting of a smaller entity that moves within and is driven by a larger field that contains it. In such systems, the smaller contained entity is directed by the field, but also moves to some degree independently of it, allowing the entity to deviate and return, to show the plasticity and persistence that is characteristic of goal direction. If all this is right, then human want-driven behavior probably involves a behavior-generating mechanism that is contained within a neural field of some kind. In principle, for goal directedness generally, the containment can be virtual, raising the possibility that want-driven behavior could be simulated in standard computational systems. But there are also reasons to believe that goal-direction works better when containment is also physical, suggesting that a new kind of hardware may be necessary. (shrink)

Researchers have recognized that interpersonal trust consists of different dimensions. These dimensions suggest that trust can be rational, cognitive, or affective. Affect, which includes moods and emotions, is likely to have a direct impact on the affective dimension. On the other hand, there are also studies showing that affect indirectly influence cognitive judgments. Nonetheless, in this chapter we argue that the impact of affect on judgment will not be the same on all individuals. In effect, the impact varies, depending on (...) the individual's attention to affect, motivation to use or guard against affect, or regulation of affect. All this may suggest that an individual's abilities or tendencies to manage affect will have implication on his or her trust relationships with others. (shrink)

Moral judgment has typically been characterized as a conflict between emotion and reason. In recent years, a central concern has been determining which process is the chief contributor to moral behavior. While classic moral theorists claimed that moral evaluations stem from consciously controlled cognitive processes, recent research indicates that affective processes may be driving moral behavior. Here, we propose a new way of thinking about emotion within the context of moral judgment, one in which affect is generated and transformed by (...) both automatic and controlled processes, and moral evaluations are shifted accordingly. We begin with a review of how existing theories in psychology and neuroscience address the interaction between emotion and cognition, and how these theories may inform the study of moral judgment. We then describe how brain regions involved in both affective processing and moral judgment overlap and may make distinct contributions to the moral evaluation process. Finally, we discuss how this way of thinking about emotion can be reconciled with current theories in moral psychology before mapping out future directions in the study of moral behavior. (shrink)

Affective dynamics are discussed from the perspective of a view of origin and functions of affective valence based in control processes. This view posits that affect reflects the error signal of a feedback loop managing rate of progress at goal attainment or threat avoidance. Negative feelings signal doing poorly, demanding more effort. Positive feelings signal doing better than necessary, allowing coasting, which yields goal attainment without unnecessary resource expenditure. Given multiple simultaneous goals, these functions assist in moment-to-moment priority management, facilitating (...) attainment of all. (shrink)

In this article we outline the history, elements, and variations of functional accounts of emotions. Summarising diverse theories and observations, we propose that functional accounts of emotions: (1) address why humans have emotions; (2) define emotions as solutions to problems and opportunities related to physical and social survival; (3) treat emotions as systems of interrelated components; and (4) focus on the beneficial consequences of emotions. This conceptual approach to emotion is complemented by several empirical strategies, including the study of emotion (...) dysfunction, the effects of emotions on others, and the relations between emotions and personal and social outcomes. We conclude by considering how functional accounts of emotion vary, including in terms of their level of analysis, specificity, manner of organisation, and range of focus, and the implications functional accounts have for the study of emotion. (shrink)

To the age-old debate over what it means to be human, the relatively new fields of sociobiology and artificial intelligence bring new, if not necessarily compatible, insights. What have these two fields in common? Have they affected the way we define humanity? These and other timely questions are addressed with colorful individuality by the authors of _The Boundaries of Humanity_. Leading researchers in both sociobiology and artificial intelligence combine their reflections with those of philosophers, historians, and social scientists, while the (...) editors explore the historical and contemporary contexts of the debate in their introductions. The implications of their individual arguments, and the often heated controversies generated by biological determinism or by mechanical models of mind, go to the heart of contemporary scientific, philosophical, and humanistic studies. (shrink)

Scientists regularly invoke broadly aesthetic properties like elegance and simplicity when evaluating theories, but why should we expect aesthetic pleasure to signal an epistemic good? I argue that aesthetic judgements in science are best understood as a special case of affective cognition, and that the feelings on which these judgements are based are the upshots of metacognitive monitoring of the quality of our engagement with theory and evidence. Finding a theory beautiful fallibly signals that it fits well with our background (...) knowledge and that it’s neither artificially adjusted to accommodate otherwise disconfirming evidence nor fitted to noise in the data, which makes aesthetic pleasure a good heuristic for theory evaluation. (shrink)

Internet and Biometric Web Based Business Management Decision Support MICROBE MOOC material prepared under IO1/A5 Development of the MICROBE personalized MOOCs content and teaching materials Prepared by: A. Kaklauskas, A. Banaitis, I. Ubarte Vilnius Gediminas Technical University, Lithuania Project No: 2020-1-LT01-KA203-078100.

The last two decades have produced unprecedented successes in the fields of artificial intelligence and machine learning (ML), due almost entirely to advances in deep neural networks (DNNs). Deep hierarchical memory networks are not a novel concept in cognitive science and can be traced back more than a half century to Simon's early work on discrimination nets for simulating human expertise. The major difference between DNNs and the deep memory nets meant for explaining human cognition is that the latter are (...) symbolic networks meant to model the dynamics of human memory and learning. Cognition-inspired symbolic deep networks (SDNs) address several known issues with DNNs, including (1) learning efficiency, where a much larger number of training examples are required for DNNs than would be expected for a human; (2) catastrophic interference, where what is learned by a DNN gets unlearned when a new problem is presented; and (3) explainability, where there is no way to explain what is learned by a DNN. This paper explores whether SDNs can achieve similar classification accuracy performance to DNNs across several popular ML datasets and discusses the strengths and weaknesses of each approach. Simulations reveal that (1) SDNs provide similar accuracy to DNNs in most cases, (2) SDNs are far more efficient than DNNs, (3) SDNs are as robust as DNNs to irrelevant/noisy attributes in the data, and (4) SDNs are far more robust to catastrophic interference than DNNs. We conclude that SDNs offer a promising path toward human-level accuracy and efficiency in category learning. More generally, ML frameworks could stand to benefit from cognitively inspired approaches, borrowing more features and functionality from models meant to simulate and explain human learning. (shrink)

The aim of this study was to investigate the effect of numeracy and the emotion of fear on the decision-making process. While previous research demonstrated that these factors are independently related to search effort, search policy and choice in a decision from experience task, less is known about how their interaction contributes to processing information under uncertainty. We attempted to address this problem and to fill this gap. In the present study, we hypothesized that more numerate people would sample more (...) information about a decision problem and that the effect of fear would depend on the source of this emotion: whether it is integral (i.e., relevant) or incidental (i.e., irrelevant) to a decision problem. Additionally, we tested how these factors predict choices. We addressed these hypotheses in a series of two experiments. In each experiment, we used a sampling paradigm to measure search effort, search policy and choice in nine binary problems included in a decision from experience task. In Experiment 1, before the sampling task we elicited incidental fear by asking participants to recall fearful events from their life. In Experiment 2, integral fear was elicited by asking participants to make choices concerning medical treatment. Decision problems and their payoff distributions were the same in the two experiments and across each condition. In both experiments, we assessed objective statistical numeracy and controlled for a change in the current emotional state. We found that more numerate people sampled more information about a decision problem and switched less frequently between alternatives. Incidental fear marginally predicted search effort. Integral fear led to larger sample sizes, but only among more numerate people. Neither numeracy nor fear were related to the number of choices that maximized expected values. However, across two experiments sample sizes predicted the number of choices that maximized experienced mean returns. The findings suggest that people with higher numeracy may be more sensitive to integral emotions; this may result in more effortful sampling of relevant information leading to choices maximizing experienced returns. (shrink)

Based on social cognitive theory, this paper explored the cognitive mechanism between ethical leadership and the followers’ extra-role performance. We tested a moderated mediation model in which general self-efficacy mediated the relationship between ethical leadership and the employee extra-role performance, while intrinsic motivation moderated the relationship between ethical leadership and subordinate’s general self-efficacy. Data were collected in two waves from 208 dyads. Results supported the time-lagged effect of ethical leadership on individual extra-role performance and the mediating role of general self-efficacy. (...) Moreover, our findings revealed that intrinsic motivation positively moderated the effect of ethical leadership on general self-efficacy. Furthermore, intrinsic motivation also moderated the indirect effect of ethical leadership on extra-role performance via general self-efficacy. Theoretical and practical implications were further discussed. (shrink)

In this paper we integrate claims and findings concerning the social functions of emotions at the individual, dyadic, group, and cultural levels of analysis. Across levels of analysis theorists assume that emotions solve problems important to social relationships in the context of ongoing interactions. Theorists diverge, however, in their assumptions about the origins, defining characteristics, and consequences of emotions, and in their preferred forms of data. We illustrate the differences and compatibilities among these levels of analysis for the specific case (...) of embarrassment. We close by suggesting research strategies that incorporate a social-functional perspective. (shrink)

Three experimental studies are reported in which we tested the prediction that negative emotion elicits the social sharing of the emotional experience. In two experiments, participants arrived at the laboratory with a friend and then viewed one of three film excerpts (nonemotional, moderate emotion, or intense emotion) alone. Afterwards, the participants who saw the film had an opportunity to interact with the friend and their conversation was recorded. In both experiments participants who had seen the intense emotion excerpt engaged in (...) significantly more social sharing than did participants in the other two conditions. A third experiment extended the investigation to social sharing in everyday life and replicated the previous results. Nonemotional explanations of the effects observed were also ruled out. Results are discussed in the context of the relation between emotional intensity and amount of social sharing. (shrink)

I present a theory of alienation that accounts for the cognitive processes involved with moral thinking and political behavior in modern societies. On my account, alienation can be understood as a particular kind of atrophy of moral concepts and moral thinking that affect the ways individuals cognize and legitimate the social world and their place within it. Central to my argument is the thesis that modern forms of social integration—shaped by highly institutionalized, rationalized and hierarchical forms of social life—serve to (...) constrain the moral- cognitive powers of subjects leading to a condition of alienation as moral atrophy. This state results from the withering of the subject's internal powers of moral reflection and an overriding predisposition to rely on external value schemas to make sense of moral and political problems. I then present an analysis of alienated moral consciousness and its implications for modern social theory. (shrink)

This article introduces the somatic transform that operationalizes the relation between affect and cognition at the psychological level of analysis by capitalizing on the relation between the cogni...