Philosophy of Cognitive Science, Miscellaneous

Quilty-Dunn et al. argue that deep convolutional neural networks (DCNNs) optimized for image classification exemplify structural disanalogies to human vision. A different kind of artificial vision – found in reinforcement-learning agents navigating artificial three-dimensional environments – can be expected to be more human-like. Recent work suggests that language-like representations substantially improves these agents’ performance, lending some indirect support to the language-of-thought hypothesis (LoTH).

This chapter summarizes the conceptual foundations and research on emotional creativity. Emotional creativity is defined as a pattern of cognitive abilities and personality traits related to originality and appropriateness in emotional experience. This construct pervades human creative performance and represents an important link between emotional experience and cognitive processes. Empirical research in this field has revealed various links of emotional creativity to personality variables (e.g., openness to experience), positive affect, fantasy proneness, coping strategies, post-traumatic growth, better self-understanding, and one’s engagement (...) in practicing creative leisure activities. In the applied settings, emotional creativity has been found to be positively related to the intrinsic motivation of employees, the innovative performance of employees, teaching efficacy, and an increased awareness of professional roles. Interestingly, the available meta-analysis of past studies revealed that women showed significantly higher emotional creativity than men. Emotional creativity has also been found to be lower in older adulthood compared to younger age. Because the levels of emotional creativity were found to be sensitive to the decline of cognitive functions in older adults, their decrease can be considered as one of the indicators of cognitive aging. Recent research in clinical neuropsychology has also revealed that older adults in the early stages of Parkinson’s disease showed decreased emotional creativity compared to healthy older adults. (shrink)

To approach the many challenges involved in the notion of engineering concepts, it is important to have a clear idea of the starting point – the concepts that people use in their everyday lives, in conversations and in expressing beliefs, desires, intentions and so forth. The first Section of this chapter introduces evidence that I have accumulated over the last many years concerning the flexibility, context-dependence, and vagueness of such common concepts. The concept engineer needs to understand the structure of (...) the “raw material” with which she is working. In Section 2, I summarise some results concerning the amount of individual variation that exists within a single relatively homogenous population of individuals, both in what examples are considered most typical of a category, and in what properties are considered most central to a category (Hampton & Passanisi, 2016). The demonstration of a significant degree of reliable variation in responses to these questions, that is stable over time, illustrates the potential for conceptual engineering interventions to affect individuals’ concepts. Concepts are rarely fixed or uniformly understood in the same way. I then discuss the different ways in which concepts track the world, and I speculate about how different conceptual domains are governed by different criteria of validity or acceptability. This reflection will lead to Section 3 in which I summarise some results from recent research (Thorne, Quilty-Dunn, Smortchova, Shea, & Hampton, 2021), investigating for the first time how people view the value of different familiar concepts. Knowing how people appraise concepts will be a key to developing ideas for improving the reliability and validity of the concepts that they commonly use. A final section contains some (largely speculative) discussion about the implications of work in psychology of concepts for the project of conceptual engineering. (shrink)

The following considerations concern modelling Belief Dynamics (BD) not just in the sense of a formalization, but rather in the sense of building a computational model and implementing the corresponding data structures and algorithms of recomputing beliefs. The purpose of such a project is to illustrate some ideas about belief changes in a Web of Beliefs (WoB) to explore and deepen one's understanding of belief changes by trying to implement or improve corresponding algorithms.

Scientists may sometimes generalize from their samples to broader populations when they have not yet sufficiently supported this generalization. Do such hasty generalizations also occur in experimental philosophy? To check, we analyzed 171 experimental philosophy studies published between 2017 and 2023. We found that most studies tested only Western populations but generalized beyond them without justification. There was also no evidence that studies with broader conclusions had larger, more diverse samples, but they nonetheless had higher citation impact. Our analyses reveal (...) important methodological limitations of many experimental philosophy studies and suggest that philosophical training may not protect against hasty generalizations. (shrink)

Richard Rorty's rejection of prevailing interior-mirror understandings of the presumed relationship between “minds” and “nature,” along with his promotion of nonrepresentational accounts of knowledge, truth, and science, participates in a rich tradition of jointly pragmatist and constructivist views that spans the twentieth century. This contribution to the symposium “Whatever Happened to Richard Rorty?” considers Rorty's complex and ambivalent relation to that tradition, particularly to the work of his American pragmatist predecessors, William James and John Dewey, and to subsequent pragmatist-constructivist antirepresentationalism (...) in contemporary science and technology studies (STS) and “4E” (embodied, embedded, extended, enactive) cognitive theory. A final section on Nicholas Gaskill's contribution to the symposium questions his sense of Rorty's rhetorical recklessness and suggests that his worries over relativism, in Rorty's texts and more generally, are misplaced. (shrink)

Over the past few decades, cognitive science has identified several forms of reasoning that make essential use of conceptual knowledge. Despite significant theoretical and empirical progress, there is still no unified framework for understanding how concepts are used in reasoning. This paper argues that the theory of conceptual spaces is capable of filling this gap. Our strategy is to demonstrate how various inference mechanisms which clearly rely on conceptual information—including similarity, typicality, and diagnosticity-based reasoning—can be modeled using principles derived from (...) conceptual spaces. Our first topic analyzes the role of expectations in inductive reasoning and their relation to the structure of our concepts. We examine the relationship between using generic expressions in natural language and common-sense reasoning as a second topic. We propose that the strength of a generic can be described by distances between properties and prototypes in conceptual spaces. Our third topic is category-based induction. We demonstrate that the theory of conceptual spaces can serve as a comprehensive model for this type of reasoning. The final topic is analogy. We review some proposals in this area, present a taxonomy of analogical relations, and show how to model them in terms of distances in conceptual spaces. We also briefly discuss the implications of the model for reasoning with concepts in artificial systems. (shrink)

Since the mid to late 1970s, the traditional paradigm of cognitive theory has been increasingly questioned in the fields of philosophy, psychology, cognitive science, and artificial intelligence. With the rise of embodied cognition, psychologists have begun to understand conceptual representation in terms of embodiment, emphasizing the role of the subject's sensorimotor system and bodily experience in conceptual representation. Although there is a large body of empirical research to support the theory of embodied cognition, it still fails to provide a reasonable (...) account of the representation of abstract concepts. Recent empirical studies have shown that concrete concepts and abstract concepts involve different forms of conceptual representation. Thus, it appears that the mechanism of concept representation is multiple. Although the multiple representation hypotheses have shown more plausibility and theoretical potential beyond the reach of embodied theory, there are still many problems with the theory that need further exploration. (shrink)

What does it mean to hold a belief? Some of our ways of speaking in English suggest that to hold a belief is to have something in your mind: beliefs are things we acquire, defend, recover, and so on (Abelson, 1986). That is, believing is a matter of being in a state of having a thing. In this paper, I will argue for an alternative: believing is something we do. This is not a new suggestion. For instance, Matthew Boyle (2011) (...) defends a theory of belief as an activity, which he traces back to Aristotle. This paper, however, makes two new contributions: first, I argue for an analogy between belief and planning that fleshes out what it would mean to understand belief as an activity, and second, I aim to show how the resulting view can help sense of a variety of theories in cognitive psychology that suggest cognitive information storage is dynamic and reconstructive. (shrink)

Autism spectrum disorder (ASD) is a psychopathological condition characterized by persistent deficits in social interaction and communication, and restricted, repetitive patterns of behavior and interests. To build an ecological-enactive account of autism, I propose we should endorse the affordance-based approach of the skilled intentionality framework (SIF). In SIF, embodied cognition is understood as skilled engagement with affordances in the sociomaterial environment of the ecological niche by which an individual tends toward the optimal grip. The human econiche offers a whole landscape (...) of affordances, and situated individuals respond to a field of relevant affordances. An important part of SIF is an ecological-enactive interpretation of the free energy principle and predictive processing. Predictive processing accounts indicate that in ASD too much precision is assigned to prediction errors. Autistic persons depend heavily on current sensory information and less on prior beliefs and cannot attune to stable regularities. To reduce uncertainty, they over-rely on routines, strict habits, and a familiar environment—a predictable ecological niche they construct. I argue that skilled intentionality gives us the framework from which to analyze the autistic field of affordances. Autistic patterns of affordance-related bodily states of action readiness are only sensitive to very specific solicitations in the environment and achieve optimal grip in well-known situations. Autism is to be understood as a disorder of bodily normativity. Taking this approach helps us figure out what neurotypical people can do to attune their environment in order to scaffold the needs of autistic individuals by redesigning the landscape of affordances. (shrink)

The notion of belief appears frequently in cognitive science. Yet it has resisted definition of the sort that could clarify inquiry. How then might a cognitive science of belief proceed? Here we propose a form of pluralism about believing. According to this view, there are importantly different ways to "believe" an idea. These distinct psychological kinds occur within a multi-dimensional property space, with different property clusters within that space constituting distinct varieties of believing. We propose that discovering such property clusters (...) is empirically tractable, and that this approach can help sidestep merely verbal disputes about what constitutes “belief.”. (shrink)

This dissertation argues that cognition is a kind of natural agency. Natural agency is the capacity that certain systems have to act in accordance with their own norms. Natural agents are systems that bias their repertoires in response to affordances in the pursuit of their goals. -/- Cognition is a special mode of this general phenomenon. Cognitive systems are agents that have the additional capacity to actively take their worlds to be certain ways, regardless of whether the world is really (...) that way. In this way, cognitive systems are desituated. Desituatedness is the root of specifically cognitive capacities for representation and abstraction. -/- There are two main reasons why this view needs defending. First, natural agency is typically viewed as incompatible with natural science because it is committed to a teleological mode of explanation. Second, cognition is typically held to be categorically distinct from natural agency. This dissertation argues against both of these views. It argues against the incompatibility of agency and natural science by demonstrating that systems biology, general systems theory, and sciences that deal with complex systems have typically underappreciated conceptual and theoretical resources for grounding agency in the causal structure of the world. These conceptual resources do not, however, reduce agency to systems theory because the normativity inherent in agency demands descriptive resources beyond those of even the most sophisticated systems theory. It argues against the categorical difference between natural agency and cognition by pointing out that separating cognition from a richer web of situated, ecologically embedded relations between the agent and the world generates the frame problem, which is an insuperable obstacle to making cognition that is sufficiently responsive to the complexity of the world. Rooting cognition in natural agency is a more robust empirical bet for theorizing cognition and artificial intelligence. (shrink)

This review essay analyzes the book by Giuseppe Primiero, On the foundations of computing. Oxford: Oxford University Press (ISBN 978-0-19-883564-6/hbk; 978-0-19-883565-3/pbk). xix, 296 p. (2020). It gives a critical view from the perspective of physical computing as a foundation of computing and argues that the neglected pillar of material computation (Stepney) should be brought centerstage and computing recognized as the fourth great domain of science (Denning).

On January 2023, I received an email from somebody regarding Velmans’s article 2008. After I took a look at the paper, I started to read his book 2000. Therefore, in this section, I will investigate Velmans’ works from 2000 and 2008. I emphasize that the main difference between Spinoza’s (Velmans) dual aspect theory and my EDWs approach is the framework of thinking: Spinoza, Velmans and everybody until me had been working within the unicorn world (the Universe/world), while my EDWs assumes (...) the rejection of the the universe/world; I replace this eternal and wrong notion with the EDWs. (see my previous works; my first five books and a book from 2022 and many of my articles are FREE on internet at my webpage and other pages). (shrink)

La búsqueda de un pluralismo integrativo en filosofía de la ciencia presenta ecos fructíferos en discusiones contemporáneas de la filosofía de la psiquiatría, sobre todo en torno a la necesidad de un pluralismo que supere un reduccionismo neurobiológico y un eclecticismo biopsicosocial. Los trabajos de la filósofa Sandra Mitchell constituirán un punto de partida para visualizar la necesidad de un paradigma pluralista, al mismo tiempo que permitirán exponer la tesis de que es necesario un modelo que permita una integración real (...) entre las diversas dimensiones relevantes en psiquiatría para así no caer implícitamente nuevamente en un pluralismo reduccionista. En esta línea, se analizarán críticamente las perspectivas que han surgido en psiquiatría a la hora de lograr un pluralismo integrativo. Finalmente se revisará el modelo enactivo en ciencia cognitiva y su aplicación en psiquiatría como un posible alternativa en búsqueda de una integración en psiquiatría que permita un pluralismo integrativo a nivel ontológico, permitiendo un camino medio entre una psiquiatría neurocéntrica y una ecléctica relativista. (shrink)

The cognitive scientist Donald Hoffman argues that we don't perceive reality: spacetime, objects, colors, sounds, tastes, and so forth, are all merely an interface that we evolved to track evolutionary fitness rather than to perceive truths about external reality. In this paper, I expound on his argument, then I extend it, primarily, by looking at key ideas in physics that are quite germane to it. Among the topics in physics that I discuss are black holes, the holographic principle, string theory, (...) duality, quantum gravity, and special relativity. I discuss these ideas from physics with an eye to their relevance for Hoffman's view. (shrink)

Despite the recent upsurge in research on abstract concepts, there remain puzzles at the foundation of their empirical study. These are most evident when we consider what is required to assess a person’s abstract conceptual abilities without using language as a prompt or requiring it as a response—as in classic non-verbal categorization tasks, which are standardly considered tests of conceptual understanding. After distinguishing two divergent strands in the most common conception of what it is for a concept to be abstract, (...) we argue that neither reliably captures the kind of abstraction required to successfully categorize in non-verbal tasks. We then present a new conception of concept abstractness—termed Trial Concreteness—that is keyed to individual categorization trials. It has advantages in capturing the context-relativity of the degree of abstraction required for the application of a concept and fittingly correlates with participant success in recent experiments. (shrink)

Una de las premisas centrales del modelo cognitivista de explicación de las emociones consiste en afirmar que toda emoción es un juicio, afirmación que conduce a lo que denominaré el problema de la restrictividad, es decir, al hecho de que dicho modelo parece impedirnos atribuir emociones a entidades que carecen (temporal o estructuralmente) de la capacidad de juzgar. El objetivo del artículo consistirá en relevar las estrategias a las que recurren los dos autores que han defendido el modelo cognitivista de (...) forma más radical y sostenida (Robert Solomon y Martha Nussbaum) al momento de hacer frente al problema de la restrictividad. Argumentaré, fundamentalmente, que dichas estrategias conducen al modelo cognitivista a un dilema del cual sólo puede salir al precio de perder su especificidad como modelo de explicación de las emociones. (shrink)

This entry summarizes an emerging subdiscipline of both empirical bioethics and experimental philosophy (“x-phi”) which has variously been referred to as experimental philosophical bioethics, experimental bioethics, or simply “bioxphi”. Like empirical bioethics, bioxphi uses data-driven research methods to capture what various stakeholders think (feel, judge, etc.) about moral issues of relevance to bioethics. However, like its other parent discipline of x-phi, bioxphi tends to favor experiment-based designs drawn from the cognitive sciences – including psychology, neuroscience, and behavioral economics – to (...) tease out why and how stakeholders think as they do. (shrink)

“Morphological computation” is an increasingly important concept in robotics, artificial intelligence, and philosophy of the mind. It is used to understand how the body contributes to cognition and control of behavior. Its understanding in terms of "offloading" computation from the brain to the body has been criticized as misleading, and it has been suggested that the use of the concept conflates three classes of distinct processes. In fact, these criticisms implicitly hang on accepting a semantic definition of what constitutes computation. (...) Here, I argue that an alternative, mechanistic view on computation offers a significantly different understanding of what morphological computation is. These theoretical considerations are then used to analyze the existing research program in developmental biology, which understands morphogenesis, the process of development of shape in biological systems, as a computational process. This important line of research shows that cognition and intelligence can be found across all scales of life, as the proponents of the basal cognition research program propose. Hence, clarifying the connection between morphological computation and morphogenesis allows for strengthening the role of the former concept in this emerging research field. (shrink)

Many scientists routinely generalize from study samples to larger populations. It is commonly assumed that this cognitive process of scientific induction is a voluntary inference in which researchers assess the generalizability of their data and then draw conclusions accordingly. We challenge this view and argue for a novel account. The account describes scientific induction as involving by default a generalization bias that operates automatically and frequently leads researchers to unintentionally generalize their findings without sufficient evidence. The result is unwarranted, overgeneralized (...) conclusions. We support this account of scientific induction by integrating a range of disparate findings from across the cognitive sciences that have until now not been connected to research on the nature of scientific induction. The view that scientific induction involves by default a generalization bias calls for a revision of the current thinking about scientific induction and highlights an overlooked cause of the replication crisis in the sciences. Commonly proposed interventions to tackle scientific overgeneralizations that may feed into this crisis need to be supplemented with cognitive debiasing strategies against generalization bias to most effectively improve science. (shrink)

Does algorithmic political bias contribute to an entrenchment and polarization of political positions? Franke argues that it may do so because the bias involves classifications of people as liberals, conservatives, etc., and individuals often conform to the ways in which they are classified. I provide a novel example of this phenomenon in human–computer interactions and introduce a social psychological mechanism that has been overlooked in this context but should be experimentally explored. Furthermore, while Franke proposes that algorithmic political classifications entrench (...) political identities, I contend that they may often produce the opposite result. They can lead people to change in ways that disconfirm the classifications. Consequently and counterintuitively, algorithmic political bias can in fact decrease political entrenchment and polarization. (shrink)

Cultural Attraction Theory (CAT), also referred to as cultural epidemiology, is an evolutionary theory of culture. It provides conceptual tools and a theoretical framework for explaining why and how ideas, practices, artifacts and other cultural items spread and persist in a community and its habitat. It states that cultural phenomena result from psychological or ecological factors of attraction.

According to [Bayesian] models” in cognitive neuroscience, says a recent textbook, “the human mind behaves like a capable data scientist”. Do they? That is to say, do such model show we are rational? I argue that Bayesian models of cognition, perhaps surprisingly, do not and indeed cannot, show that we are Bayesian-rational. The key reason is that such models appeal to approximations, a fact that carries significant implications. After outlining the argument, I critique two responses, seen in recent cognitive neuroscience. (...) One says that the mind can be seen as approximately Bayes-rational, while the other reconceives norms of rationality. (shrink)

What’s the difference between those psychological posits that are ‘me’ and those that are not? Distinguishing between these psychological kinds is important in many domains, but an account of what the distinction consists in is challenging. I argue for Psychological Constructionism: those psychological posits that correspond to the kinds within folk psychology are personal, and those that don’t, aren’t. I suggest that only constructionism can answer a fundamental challenge in characterizing the personal level—the plurality problem. The things that plausibly qualify (...) as personal are motley. Other attempts at accounting for the personal level either cannot accommodate this plurality, or cannot explain what unifies the personal. Given arguments others have given for a pluralistic conception of folk psychology, constructionism explains and predicts this plurality in a systematic and unified way, thereby solving the plurality problem. (shrink)

Some artificial intelligence systems can display algorithmic bias, i.e. they may produce outputs that unfairly discriminate against people based on their social identity. Much research on this topic focuses on algorithmic bias that disadvantages people based on their gender or racial identity. The related ethical problems are significant and well known. Algorithmic bias against other aspects of people’s social identity, for instance, their political orientation, remains largely unexplored. This paper argues that algorithmic bias against people’s political orientation can arise in (...) some of the same ways in which algorithmic gender and racial biases emerge. However, it differs importantly from them because there are strong social norms against gender and racial biases. This does not hold to the same extent for political biases. Political biases can thus more powerfully influence people, which increases the chances that these biases become embedded in algorithms and makes algorithmic political biases harder to detect and eradicate than gender and racial biases even though they all can produce similar harm. Since some algorithms can now also easily identify people’s political orientations against their will, these problems are exacerbated. Algorithmic political bias thus raises substantial and distinctive risks that the AI community should be aware of and examine. (shrink)

We provide two programmatic frameworks for integrating philosophical research on understanding with complementary work in computer science, psychology, and neuroscience. First, philosophical theories of understanding have consequences about how agents should reason if they are to understand that can then be evaluated empirically by their concordance with findings in scientific studies of reasoning. Second, these studies use a multitude of explanations, and a philosophical theory of understanding is well suited to integrating these explanations in illuminating ways.

Within psychology, philosophy, and cognitive science, theory of mind refers to the cognitive ability to reason about the mental states of other people, thus recognizing them as having beliefs, knowledge, intentions and emotions of their own. In this project, we construct a natural language inference (NLD) dataset that tests the ability of a state of the art language model, RoBERTa-large finetuned on the MNLI dataset, to make theory of mind inferences related to knowledge and belief. Experimental results suggest that the (...) model struggles with such inferences, including after attempts for further finetuning. (shrink)

Disagreement about how best to think of the relation between theories and the realities they represent has a longstanding and venerable history. We take up this debate in relation to the free energy principle (FEP) - a contemporary framework in computational neuroscience, theoretical biology and the philosophy of cognitive science. The FEP is very ambitious, extending from the brain sciences to the biology of self-organisation. In this context, some find apparent discrepancies between the map (the FEP) and the territory (target (...) systems) a compelling reason to defend instrumentalism about the FEP. We take this to be misguided. We identify an important fallacy made by those defending instrumentalism about the FEP. We call it the literalist fallacy: this is the fallacy of inferring the truth of instrumentalism based on the claim that the properties of FEP models do not literally map onto real-world, target systems. We conclude that scientific realism about the FEP is a live and tenable option. (shrink)

It has recently been argued that to tackle social injustice, implicit biases and unjust social structures should be targeted equally because they sustain and ontologically overlap with each other. Here I develop this thought further by relating it to the hypothesis of extended cognition. I argue that if we accept common conditions for extended cognition then people’s implicit biases are often partly realized by and so extended into unjust social structures. This supports the view that we should counteract psychological and (...) social contributors to injustice equally. But it also has a significant downside. If unjust social structures are part of people’s minds then dismantling these structures becomes more difficult than it currently is, as this will then require us to overcome widely accepted ethical and legal barriers protecting people’s bodily and personal integrity. Thus, while there are good grounds to believe that people’s biases and unjust social structures ontologically overlap, there are also strong ethical reasons to reject this view. Metaphysical and ethical intuitions about implicit bias hence collide in an important way. (shrink)

In his Autobiographical Notes Einstein recognizes the importance of wonder in the cognitive process by stating that it occurs when an experience comes into conflict with a sufficiently stable world of concepts. Already in classical philosophy, wonder is considered the starting point of philosophizing as Plato highlights in Theaetetus and Aristotle in Metaphysics. To describe what the wonder consists of we will suggest a Dynamic Frames and we will use it to describe the role of wonder in the years of (...) Einstein's formation. (shrink)

The first part of this article makes the case that human cognition is an intergenerational project enabled by the inheritance and bequeathal of cognitive technology (Sects. 2–4). The final two sections of the article (Sects. 5 and 6) explore the normative significance of this claim. My case for the intergenerational claim draws results from multiple disciplines: philosophy (Sect. 2), cultural evolutionary approaches in cognitive science (Sect. 3), and developmental psychology and neuroscience (Sect. 4). In Sect. 5, I propose that cognitive (...) technology should be given to future generations in accordance with principles of pluralism and transparency. In the final main section of the article, Sect. 6, I apply these principles to topics such as the preservation of information, environmental offloading of cognition, and thinking itself. (shrink)

Logical analysis of the applicability of nominals (which are introduced by hybrid logic) in the formal descriptions of the world (within modern knowledge representation and semantics-based systems) is very important because nominals, as second sorts of propositional symbols, can support logical identification of the described world at specific [temporal and/or spacial] states. This paper will focus on answering the philosophical-logical question of ‘how a fundamental world description in description logic (DL) and a nominal can be related to each other?’. Based (...) on my assumption that nominals can support more adequate identification of the world in DL, this paper will deal with the concept of ‘world identification’. Accordingly, based on a logical-terminological analysis of nominals, the paper will analyse hybridised fundamental world descriptions. The research will finally reach the idea that we can have a hybrid description logic based on the analysed concepts. (shrink)

This special issue on what some regard as a crisis of replicability in cognitive science (i.e. the observation that a worryingly large proportion of experimental results across a number of areas cannot be reliably replicated) is informed by three recent developments. -/- First, philosophers of mind and cognitive science rely increasingly on empirical research, mainly in the psychological sciences, to back up their claims. This trend has been noticeable since the 1960s (see Knobe, 2015). This development has allowed philosophers to (...) draw on a wider range of relevant resources, but it also makes them vulnerable to relying on claims that may not survive further scrutiny. If we have reasons to believe that a large proportion of findings in the psychological sciences cannot be reliably replicated, this would be a problem for philosophers who use such findings in their work. Second, philosophers are increasingly designing and carrying out their own experiments to back up claims, or to test claims earlier made from the armchair, for example, on the perceived permissibility of diverting trolleys or on the nature of free will. This growing field of experimental philosophy has diversified the intellectual field in philosophy, but may also be vulnerable to issues of replicability that philosophers did not face before. -/- Third, the recent evidence of apparently widespread non-replicability in the social sciences (and other fields) has forced philosophers of science to grapple with long standing questions from their field from a new perspective. To what extent does replicability matter for theory construction? How do the notions of replicability and scientific progress interact? How can normative insights from philosophy of science be used in order to improve scientific practice? -/- It is with these three developments in mind—the increasing importance of empirically-informed philosophy, of experimental philosophy, and of philosophy of science around replicability—that this special issue has been conceived. (shrink)

In recent decades, several theories have claimed to explain the teleological causality of organisms as a function of self-organising and self-producing processes. The most widely cited theories of this sort are variations of autopoiesis, originally introduced by Maturana and Varela. More recent modifications of autopoietic theory have focused on system organisation, closure of constraints and autonomy to account for organism teleology. This article argues that the treatment of teleology in autopoiesis and other organisation theories is inconclusive for three reasons: First, (...) non-living self-organising processes like autocatalysis meet the defining features of autopoiesis without being teleological; second, organisational approaches, whether defined in terms of the closure of constraints, self-determination or autonomy, are unable to specify teleological normativity, that is, the individuation of an ultimate beneficiary; third, all self-organised systems produce local order by maximising the throughput of energy and/or material (obeying the maximum entropy production (MEP) principle) and thereby are specifically organised to undermine their own critical boundary conditions. Despite these inadequacies, an alternative approach called teleodynamics accounts for teleology. This theory shows how multiple self-organising processes can be collectively linked so that they counter each other’s MEP principle tendencies to become codependent. Teleodynamics embraces – not ignoring – the difficulties of self-organisation, but reinstates teleology as a radical phase transition distinguishing systems embodying an orientation towards their own beneficial ends from those that lack normative character. (shrink)

Demographic diversity might often be present in a group without group members noticing it. What are the epistemic effects if they do? Several philosophers and social scientists have recently argued that when individuals detect demographic diversity in their group, this can result in epistemic benefits even if that diversity doesn’t involve cognitive differences. Here I critically discuss research advocating this proposal, introduce a distinction between two types of detection of demographic diversity, and apply this distinction to the theorizing on diversity (...) in science. Focusing on ‘invisible’ diversity, I argue that in one common kind of group in science, if group members have full insight into their group’s diversity, this is likely to create epistemic costs. These costs can be avoided and epistemic benefits gained if group members only partly detect their group’s diversity. There is thus an epistemic reason for context-dependent limitations on scientists’ insight into the diversity of their group. (shrink)

Ce livre étudie, à travers une série d'épisodes allant de la philosophie des Lumières à notre époque, le problème du matérialisme dans l'histoire de la philosophie et l’histoire des sciences. Comment comprendre les spécificités de l’histoire du matérialisme, des Lumières à nos jours, au sein de la grande histoire de la philosophie et de l’histoire des sciences ? Quelle est l’actualité de l’opposition classique entre le corps et l’esprit ? Qu’est-ce que le rire ou le rêve peuvent nous apprendre du (...) matérialisme ? En traversant l’histoire de ce concept jusqu’à l’émergence d’un « nouveau matérialisme » contemporain, l’ouvrage vise à revitaliser le matérialisme et sa lecture. -/- . (shrink)

Do university ethics classes influence students’ real-world moral choices? We aimed to conduct the first controlled study of the effects of ordinary philosophical ethics classes on real-world moral choices, using non-self-report, non-laboratory behavior as the dependent measure. We assigned 1332 students in four large philosophy classes to either an experimental group on the ethics of eating meat or a control group on the ethics of charitable giving. Students in each group read a philosophy article on their assigned topic and optionally (...) viewed a related video, then met with teaching assistants for 50-minute group discussion sections. They expressed their opinions about meat ethics and charitable giving in a follow-up questionnaire (1032 respondents after exclusions). We obtained 13,642 food purchase receipts from campus restaurants for 495 of the students, before and after the intervention. Purchase of meat products declined in the experimental group (52% of purchases of at least $4.99 contained meat before the intervention, compared to 45% after) but remained the same in the control group (52% both before and after). Ethical opinion also differed, with 43% of students in the experimental group agreeing that eating the meat of factory farmed animals is unethical compared to 29% in the control group. We also attempted to measure food choice using vouchers, but voucher redemption rates were low and no effect was statistically detectable. It remains unclear what aspect of instruction influenced behavior. (shrink)

Advancing a radically enactive account of cognition, we provide arguments in favour of the possibility that cultural factors permeate rather than penetrate cognition, such that cognition extensively and transactionally incorporates cultural factors rather than there being any question of cultural factors having to break into the restricted confines of cognition. The paper reviews the limitations of two classical cognitivist, modularist accounts of cognition and a revisionary, new order variant of cognitivism – a Predictive Processing account of Cognition, or PPC. It (...) argues that the cognitivist interpretation of PPC is conservatively and problematically attached to the idea of inner models and stored knowledge. In abandoning that way of understanding PPC, it offers a radically enactive alternative account of how cultural factors matter to cognition – one that abandons all vestiges of the idea that cultural factors might contentfully communicate with basic forms of cognition. In place of that idea, the possibility that culture permeates cognition is promoted. (shrink)

A common kind of explanation in cognitive neuroscience might be called functiontheoretic: with some target cognitive capacity in view, the theorist hypothesizes that the system computes a well-defined function (in the mathematical sense) and explains how computing this function constitutes (in the system’s normal environment) the exercise of the cognitive capacity. Recently, proponents of the so-called ‘new mechanist’ approach in philosophy of science have argued that a model of a cognitive capacity is explanatory only to the extent that it reveals (...) the causal structure of the mechanism underlying the capacity. If they are right, then a cognitive model that resists a transparent mapping to known neural mechanisms fails to be explanatory. I argue that a functiontheoretic characterization of a cognitive capacity can be genuinely explanatory even absent an account of how the capacity is realized in neural hardware. (shrink)

Grau and Pury (Review of Philosophy and Psychology, 5, 155–168, 2014) reported that people’s views about love are related to their views about reference. This surprising effect was however not replicated in Cova et al.’s (in press) replication study. In this article, we show that the replication failure is probably due to the replication’s low power and that a metaanalytic reanalysis of the result in Cova et al. suggests that the effect reported in Grau and Pury is real. We then (...) report a large, highly powered replication that successfully replicates Grau and Pury 2014. This successful replication is a case study in the challenges involved in replicating scientific work, and our article contributes to the discussion of these challenges. (shrink)

I am tasked with addressing philosophical hazards in the neuroscientific study of religion. As a philosopher concerned with the well-being of neuroscientists studying religion, I am inclined to begin with the philosophical hazards of philosophy. I am well aware of the extraordinary difficulties of both tasks, for the hazards are many and it is easy to miss the forest for the trees or the trees for the forest. Instead of focusing on one issue in great detail, I shall hang a (...) number of warning signs around a forest of issues that identify various philosophical hazards which deserve particular caution when it comes to neuroscience and religion. Since I am aiming for breadth over depth, my brief remarks on each issue shall be synoptic, non-exhaustive, contentious and suggestive for additional consideration and reflection. To redress such deficits, I have provided references for further reading. (shrink)

This paper defends the relevance of philosophy in the contemporary study of concepts. With the advent of cognitive science, naturalistic and interdisciplinary theorizing about concepts has gained momentum. In this context, it has been recently argued that philosophers’ theories of concepts are not aimed at answering the issues that psychologists are interested in, thus dismissing the mentioned philosophical contribution as scientifically otiose. We present and discuss two cases in point suggesting otherwise, as an attempt to vindicate the crucial role of (...) philosophy in the development of empirical theories of concepts. (shrink)

In philosophy of language, a distinction has been proposed by Diego Marconi between two aspects of lexical competence, i.e. referential and inferential competence. The former accounts for the relation-ship of words to the world, the latter for the relationship of words among themselves. The aim of the pa-per is to offer a critical discussion of the kind of formalisms and computational techniques that can be used in Artificial Intelligence to model the two aspects of lexical competence, and of the main (...) difficulties related to the use of these computational techniques. The first conclusion of our discussion is that the dis-tinction between inferential and referential semantics is instantiated in the literature of Artificial Intelli-gence by the distinction between symbolic and connectionist approaches. The second conclusion of our discussion is that the modelling of lexical competence needs the advent of hybrid models integrating symbolic and connectionist frameworks. Our hypothesis is that Conceptual Spaces, a framework devel-oped by Gärdenfors more than fifteen years ago, can offer a lingua franca that allows to unify and gener-alize many aspects of the representational approaches mentioned above and to integrate “inferential” (=symbolic) and “referential” (=connectionist) computational approaches on common ground. (shrink)

We have been left with a big challenge, to articulate consciousness and also to prove it in an artificial agent against a biological standard. After introducing Boltuc’s h-consciousness in the last paper, we briefly reviewed some salient neurology in order to sketch less of a standard than a series of targets for artificial consciousness, “most-consciousness” and “myth-consciousness.” With these targets on the horizon, we began reviewing the research program pursued by Jun Tani and colleagues in the isolation of the formal (...) dynamics essential to either. In this paper, we describe in detail Tani’s research program, in order to make the clearest case for artificial consciousness in these systems. In the next paper, the third in the series, we will return to Boltuc’s naturalistic non-reductionism in light of the neurorobotics models introduced (alongside some others), and evaluate them more completely. (shrink)

Direct neurological and especially imaging-driven investigations into the structures essential to naturally occurring cognitive systems in their development and operation have motivated broadening interest in the potential for artificial consciousness modeled on these systems. This first paper in a series of three begins with a brief review of Boltuc’s (2009) “brain-based” thesis on the prospect of artificial consciousness, focusing on his formulation of h-consciousness. We then explore some of the implications of brain research on the structure of consciousness, finding limitations (...) in biological approaches to the study of consciousness. Looking past these limitations, we introduce research in artificial consciousness designed to test for the emergence of consciousness, a phenomenon beyond the purview of the study of existing biological systems. (shrink)

Hoerl & McCormack claim that animals don't represent time. Because this makes a mystery of established findings in comparative psychology, there had better be some important payoff. The main one they mention is that it explains a clash of intuition about the reality of time's passage. But any theory that recognizes the representational requirements of agency can do likewise.

Traditional views concerning musical meaning, in the field of philosophy, quite often oscillate around the discussion of whether music can transfer meaning (and if so if it happens by a means similar to language). Philosophers have provided a wide range of views – according to some, music has no meaning whatsoever, or if there is any meaning involved, it is only of a formal/structural significance. According to the opposing views, music can contain meaning similarly to language and what is more, (...) sometimes it can be even richer than language, as in music we are – arguably – able to encode “emotional meanings”. In recent years, several approaches – also speculative – to the old philosophical question have been proposed by evolutionary psychologists, one of the most controversial views being that of Stephen Pinker’s famous metaphor for music as “auditory cheesecake”. This anti-adaptationist view has been challenged f. ex. by Geoffrey Miller or Ian Cross. In this chapter, I enlist some main philosophical views on the titular problem and investigate some evolutionary-paradigm-based propositions for its solution, to examine whether – both from explanatory and methodological standpoints – the philosophy of music could gain something from recent developments in evolutionary psychology. (shrink)