Computationalism has been the mainstream view of cognition for decades. There are periodic reports of its demise, but they are greatly exaggerated. This essay surveys some recent literature on computationalism. It concludes that computationalism is a family of theories about the mechanisms of cognition. The main relevant evidence for testing it comes from neuroscience, though psychology and AI are relevant too. Computationalism comes in many versions, which continue to guide competing research programs in philosophy of mind as well as psychology (...) and neuroscience. Although our understanding of computationalism has deepened in recent years, much work in this area remains to be done. (shrink)

According to pancomputationalism, everything is a computing system. In this paper, I distinguish between different varieties of pancomputationalism. I find that although some varieties are more plausible than others, only the strongest variety is relevant to the philosophy of mind, but only the most trivial varieties are true. As a side effect of this exercise, I offer a clarified distinction between computational modelling and computational explanation.<br><br>.

According to Uriah Kriegel’s self-representational theory of consciousness, mental state M is conscious just in case it is a complex with suitably integrated proper parts, M 1 and M 2, such that M 1 is a higher-order representation of lower-order representation M 2. Kriegel claims that M thereby “indirectly” represents itself, and he attempts to motivate this claim by appealing to what he regards as intuitive cases of indirect perceptual and pictorial representation. For example, Kriegel claims that it’s natural to (...) say that in directly perceiving the front surface of an apple one thereby perceives the apple itself. Cases such as this are supposed to provide intuitive support for the principle that if X represents Y, and Y is highly integrated into complex object Z, then X indirectly represents Z. In this paper I provide counterexamples to Kriegel’s principle of indirect representation, before going on to argue that we can explain what is going on in those cases in which the subject seems to represent a complex whole by representing one its parts without positing indirect representations anyway. I then argue that my alternative approach is superior to Kriegel’s in a number of ways, thereby rendering his theory of consciousness implausible. (shrink)

The concept of locally specialized functions dominates research on higher brain function and its disorders. Locally specialized functions must be complemented by processes that coordinate those functions, however, and impairment of coordinating processes may be central to some psychotic conditions. Evidence for processes that coordinate activity is provided by neurobiological and psychological studies of contextual disambiguation and dynamic grouping. Mechanisms by which this important class of cognitive functions could be achieved include those long-range connections within and between cortical regions that (...) activate synaptic channels via NMDA-receptors, and which control gain through their voltage-dependent mode of operation. An impairment of these mechanisms is central to PCP-psychosis, and the cognitive capabilities that they could provide are impaired in some forms of schizophrenia. We conclude that impaired cognitive coordination due to reduced ion flow through NMDA-channels is involved in schizophrenia, and we suggest that it may also be involved in other disorders. This perspective suggests several ways in which further research could enhance our understanding of cognitive coordination, its neural basis, and its relevance to psychopathology. Key Words: attention; cerebral cortex; cognitive coordination; cognitive neuropsychiatry; cognitive neuropsychology; context disorganization; Gamma rhythms; Gestalt theory; glutamate; grouping; memory; NMDA-receptors; PCP-psychosis; perceptual organization; schizophrenia. (shrink)

We present a unified approach for investigating rational reasoning about basic argument forms involving indicative conditionals, counterfactuals, and basic quantified statements within coherence-based probability logic. After introducing the rationality framework, we present an interactive view on the relation between normative and empirical work. Then, we report a new experiment which shows that people interpret indicative conditionals and counterfactuals by coherent conditional probability assertions and negate conditionals by negating their consequents. The data support the conditional probability interpretation of conditionals and the (...) narrow-scope reading of the negation of conditionals. Finally, we argue that coherent conditional probabilities are important for probabilistic analyses of conditionals, nonmonotonic reasoning, quantified statements, and paradoxes. (shrink)

In 2006, Perruchet and Pacton (2006) asked whether implicit learning and statistical learning represent two approaches to the same phenomenon. This article represents an important follow‐up to their seminal review article. As in the previous paper, the focus is on the formation of elementary cognitive units. Both approaches favor different explanations on what these units consist of and how they are formed. Perruchet weighs up the evidence for different explanations and concludes with a helpful agenda for future research.

Why should music be of interest to cognitive scientists, and what role does it play in human cognition? We review three factors that make music an important topic for cognitive scientific research. First, music is a universal human trait fulfilling crucial roles in everyday life. Second, music has an important part to play in ontogenetic development and human evolution. Third, appreciating and producing music simultaneously engage many complex perceptual, cognitive, and emotional processes, rendering music an ideal object for studying the (...) mind. We propose an integrated status for music cognition in the Cognitive Sciences and conclude by reviewing challenges and big questions in the field and the way in which these reflect recent developments. (shrink)

Following in a psychological and musicological tradition beginning with Leonard Meyer, and continuing through David Huron, we present a functional, cognitive account of the phenomenon of expectation in music, grounded in computational, probabilistic modeling. We summarize a range of evidence for this approach, from psychology, neuroscience, musicology, linguistics, and creativity studies, and argue that simulating expectation is an important part of understanding a broad range of human faculties, in music and beyond.

According to the semantic view of computation, computations cannot be individuated without invoking semantic properties. A traditional argument for the semantic view is what we shall refer to as the argument from the cognitive science practice. In its general form, this argument rests on the idea that, since cognitive scientists describe computations (in explanations and theories) in semantic terms, computations are individuated semantically. Although commonly invoked in the computational literature, the argument from the cognitive science practice has never been discussed (...) in detail. In this paper, we shall provide a critical reconstruction of this argument and an extensive analysis of its prospects, taking into account some ways of defending it that have never been explored so far. We shall argue that explanatory considerations support at best a weak version of the argument from the cognitive science practice, according to which semantic properties concur with formal syntactic properties in individuating computations in cognitive science, but not a strong version, according to which computation individuation in cognitive science is semantic as opposed to formal syntactic. (shrink)

Introduzione Sebbene la nozione di rappresentazione mentale svolga non da ieri un ruolo cruciale in filosofia e in scienza cognitiva, lo statuto ontologico delle rappresentazioni mentali resta tuttora precario. Questa situazione è particolarmente imbarazzante per la scienza cognitiva, fondata come sull’assunto che i processi mentali siano computazioni su rappresentazioni mentali. Nelle recenti Dewey Lectures Hilary Putnam ha sviluppato una critica molto severa del concetto di rappresentazione...

The Knobe effect :190–194, 2003a) consists in our tendency to attribute intentionality to bringing about a side effect when it is morally bad but not when it is morally good. Beebe and Buckwalter have demonstrated that there is an epistemic side-effect effect : people are more inclined to attribute knowledge when the side effect is bad in Knobe-type cases. ESEE is quite robust. In this paper, I present a new explanation of ESEE. I argue that when people attribute knowledge in (...) morally negative cases, they express a consequence-knowledge claim rather than a predictive claim. I use the omissions account :550–571, 2015) to explain why the consequence-knowledge claim is particularly salient in morally negative cases. Unlike the doxastic heuristic account :264–289, 2012), the omissions account can explain the persistence of ESEE in the so-called slight-chance of harm conditions. I present the results of empirical studies that test the predictions of the account. I show that ESEE occurs in Butler-type scenarios. Some of the studies involve close replications of Nadelhoffer’s :277–284, 2004) study. (shrink)

I argue that in order to solve the main difficulties confronted by the classical versions of the causal theory of action, it is necessary no just to make room for intentions, considered as irreducible to complexes of beliefs and desires, but also to distinguish among several types of intentions. I present a three-tiered theory of intentions that distinguishes among future-directed intentions, present-directed intentions and motor intentions. I characterize each kind of intention in terms of its functions, its type of content, (...) its dynamics and the rationality and time constraints that bear on it. I then try to show how the difficulties encountered by the causal theory can be solved within this new framework. 1. (shrink)

The externalist examples of Burge, Putnam etc. were offered as examples of how it is physically identical twins can differ in mental states such as belief, and little attention was paid to the interpretations the twins impose on their respective acoustic inputs. The received story today is that this form of interpretation—the semantic reading one assigns the sounds one hears—is the product of inference. The problem for this inferential model is simple to state: though the twins are physical doppelgangers and (...) don't differ in their acoustic inputs, they differ in the interpretations they impose on their respective inputs. I argue that the inferential model does not allow for how it is the twins arrive at these different interpretations. And, since the externalist examples are compelling, this tells against the inferential model. (shrink)

There is a growing acceptance of the idea that the explanatory states of folk psychology do not supervene on the physical. Even Fodor (1987) seems to grant as much. He argues, however, that this cannot be true of theoretical psychology. Since theoretical psychology offers causal explanations, its explanatory states must be taxonomized in such a way as to supervene on the physical. I use this concession to invert his argument and cast doubt on the received model of folk psychological explanation (...) as causal explanation by intentionally individuated states. This in turn undermines the central model of cognitive theory--causal explanation by representational states. (shrink)

The use of computational models for understanding human face perception and recognition has a long and intriguing history that runs parallel to efforts in the engineering literature to develop algorithms for computer-based face recognition systems. This article considers the insights gained from combining computational and cognitive approaches to the study of human face recognition and discusses the ways in which computational models have informed studies of human face processing and vice versa. It explains the concept of a face space, in (...) its abstract psychological, and physical/computational forms. The study shows how adaptation as a method is beginning to reveal properties of neural representations in a way that connects with the cognitive/perceptual approach. Finally, it discusses recent progress in state-of-the-art computational models of face recognition, which offers a new perspective on the cognitive-computational dialog. (shrink)

Hume argued that inductive inferences do not have rational justification. My aim is to reject Hume’s argument. The discussion is partly motivated by an analogy with Carroll’s Paradox, which concerns deductive inferences. A first radically externalist reply to Hume (defended by Dauer and Van Cleve) is that justified inductive inferences do not require the subject to know that nature is uniform, though the uniformity of nature is a necessary condition for having the justification. But then the subject does not have (...) reasons for believing what she believes. I defend a moderate externalist account that seeks to partly accommodate that objection to the radical externalist proposal. It is based on an extension of Peacocke’s theory of concepts: possession conditions for predicative concepts standing for natural properties include (fallible) dispositions to project them to new cases in accordance with inductive inferential patterns. (shrink)

An important, but relatively neglected, aspect of human theory of mind is emotion inference: understanding how and why a person feels a certain why is central to reasoning about their beliefs, desires and plans. The authors review recent work that has begun to unveil the structure and determinants of emotion inference, organizing them within a unified probabilistic framework.

To understand human emotions we need, alongside appraisal, the concept of emergence (derivation from the expectations of relationships) and the concept of unfolding (of sequences that can be expressed as narratives). These processes can be seen in resentment, which has not been studied extensively in psychology. It is associated with envy, and it can be thought of as a kind of destructive anger. Such issues can be studied in works of literature: simulations of the social world in which emotions can (...) be experienced by means of empathy. Shakespeare's Othello enables us to understand the emergence and unfolding of resentment in Iago, who is passed over for promotion and improvises a plan to destroy Othello. Iago's resentment is difficult to empathize with, and the play raises the question of whether we need to recognize in ourselves the capacity for reprehensible emotions. (shrink)

Four experiments investigated the effects of probability manipulations on the indicative four card selection task (Wason, 1966, 1968). All looked at the effects of high and low probability antecedents (p) and consequents (q) on participants' data selections when determining the truth or falsity of a conditional rule, if p then q . Experiments 1 and 2 also manipulated believability. In Experiment 1, 128 participants performed the task using rules with varied contents pretested for probability of occurrence. Probabilistic effects were observed (...) which were partly consistent with some probabilistic accounts but not with non-probabilistic approaches to selection task performance. No effects of believability were observed, a finding replicated in Experiment 2 which used 80 participants with standardised and familiar contents. Some effects in this experiment appeared inconsistent with existing probabilistic approaches. To avoid possible effects of content, Experiments 3 (48 participants) and 4 (20 participants) used abstract material. Both experiments revealed probabilistic effects. In the Discussion we examine the compatibility of these results with the various models of selection task performance. (shrink)

Knauff and Gazzo Castañeda (2022) object to using the term “new paradigm” to describe recent developments in the psychology of reasoning. This paper concedes that the Kuhnian term “paradigm” may be queried. What cannot is that the work subsumed under this heading is part of a new, progressive movement that spans the brain and cognitive sciences: Bayesian cognitive science. Sampling algorithms and Bayes nets used to explain biases in JDM can implement the Bayesian new paradigm approach belying any advantages of (...) mental models theory (MMT) at the algorithmic level. Moreover, this paper argues that new versions of MMT lack a computational level theory and questions the grounds for MMTs much-vaunted generality. The paper then examines common ground on the importance of small-scale models/simulations of the world and the importance of argumentation in the social domain rather than individual reasoning. Finally, the paper concludes that although there may be prospects for moving reasoning research forward in a more collective, collaborative manner, many disagreements remain to be resolved. (shrink)

The discovery of conjunctive causes--factors that act in concert to produce or prevent an effect--has been explained by purely covariational theories. Such theories assume that concomitant variations in observable events directly license causal inferences, without postulating the existence of unobservable causal relations. This article discusses problems with these theories, proposes a causal-power theory that overcomes the problems, and reports empirical evidence favoring the new theory. Unlike earlier models, the new theory derives (a) the conditions under which covariation implies conjunctive causation (...) and (b) functions relating observable events to unobservable conjunctive causal strength. This psychological theory, which concerns simple cases involving 2 binary candidate causes and a binary effect, raises questions about normative statistics for testing causal hypotheses regarding categorical data resulting from discrete variables. (shrink)

Surfing Uncertainty: Prediction, Action and The Embodied Mind, by ClarkAndy. Oxford and New York: Oxford University Press, 2016.

We can infer moral conclusions from nonmoral evidence using a three-step procedure. First, we distinguish the processes generating belief so that their reliability in generating true belief is statistically predictable. Second, we assess the processes’ reliability, perhaps by observing how frequently they generate true nonmoral belief or logically inconsistent beliefs. Third, we adjust our credence in moral propositions in light of the truth ratios of the processes generating beliefs in them. This inferential route involves empirically discovering truths of the form (...) “Process P, which generates belief in moral proposition M, has truth ratio T", and using them to discover probabilities for moral propositions. The inferential route is noncircular, and progress along it is driven fundamentally by induction. (shrink)

The concept of linguistic infinity has had a central role to play in foundational debates within theoretical linguistics since its more formal inception in the mid-twentieth century. The conceptualist tradition, marshalled in by Chomsky and others, holds that infinity is a core explanandum and a link to the formal sciences. Realism/Platonism takes this further to argue that linguistics is in fact a formal science with an abstract ontology. In this paper, I argue that a central misconstrual of formal apparatus of (...) recursive operations such as the set-theoretic operation merge has led to a mathematisation of the object of inquiry, producing a strong analogy with discrete mathematics and especially arithmetic. The main product of this error has been the assumption that natural, like some formal, languages are discretely infinite. I will offer an alternative means of capturing the insights and observations related to this posit in terms of scientific modelling. My chief aim will be to draw from the larger philosophy of science literature in order to offer a position of grammars as models compatible with various foundational interpretations of linguistics while being informed by contemporary ideas on scientific modelling for the natural and social sciences. (shrink)

Inductive generalization, where people go beyond the data provided, is a basic cognitive capability, and it underpins theoretical accounts of learning, categorization, and decision making. To complete the inductive leap needed for generalization, people must make a key ‘‘sampling’’ assumption about how the available data were generated. Previous models have considered two extreme possibilities, known as strong and weak sampling. In strong sampling, data are assumed to have been deliberately generated as positive examples of a concept, whereas in weak sampling, (...) data are assumed to have been generated without any restrictions. We develop a more general account of sampling that allows for an intermediate mixture of these two extremes, and we test its usefulness. In two experiments, we show that most people complete simple one-dimensional generalization tasks in a way that is consistent with their believing in some mixture of strong and weak sampling, but that there are large individual differences in the relative emphasis different people give to each type of sampling. We also show experimentally that the relative emphasis of the mixture is influenced by the structure of the available information. We discuss the psychological meaning of mixing strong and weak sampling, and possible extensions of our modeling approach to richer problems of inductive generalization. (shrink)

I aim to show that perception depends counterfactually on the action we want to perform. Perception is not all-purpose: what we want to do does influence what we see. After clarifying how this claim is different from the one at stake in the cognitive penetrability debate and what counterfactual dependence means in my claim, I will give a two-step argument: one’s perceptual attention depends counterfactually on one’s intention to perform an action and one’s perceptual processing depends counterfactually on one’s perceptual (...) attention. If we put these claims together, what we get is that one’s perceptual processing depends counterfactually on one’s intention to perform an action. (shrink)

Abstract: When I throw a ball at you, do you see it as catch-able? Do we perceive objects as edible, climbable or Q-able in general? One could argue that it is just a manner of speaking to say so: we do not really see an object as edible, we only infer on the basis of its other properties that it is. I argue that whether or not an object is edible or climbable is indeed represented perceptually: we see objects as (...) edible, and do not just believe that they are. My argument proceeds in two steps. First, I argue that in order to perform an action Q with respect to an object, we need to represent this object as Q-able and, second, I argue that we represent objects as having these properties perceptually. (shrink)

Abstract:When I throw a ball at you, do you see it as catch‐able? Do we perceive objects as edible, climbable or Q‐able in general? One could argue that it is just a manner of speaking to say so: we do not reallyseean object as edible, we only infer on the basis of its other properties that it is. I argue that whether or not an object is edible or climbable is indeed represented perceptually: weseeobjects as edible, and do not just (...) believe that they are. My argument proceeds in two steps. First, I argue that in order to perform an action Q with respect to an object, we need to represent this object as Q‐able and, second, I argue that we represent objects as having these propertiesperceptually. (shrink)

In this paper, I will argue that the NIMH’s new Research Domain of Criteria is a useful test of the philosophical hypothesis of eliminative materialism and demonstrates the superiority of a moderate eliminativism over integrationism, which is a rival philosophical framework for the cognitive sciences. I begin by going over the motivation for RDOC, which rests on the problems with the existing Diagnostic and Statistical Manual of Mental Disorders framework in psychiatry. Then, I introduce the main tenets of RDoC before (...) discussing eliminativism and trying to show what a moderate eliminativism looks like through the example of addiction. I then contrast that approach with intregrationism to the latter’s detriment. I end by wondering whether the broadly political consequences of eliminativism give us non-scientific reasons for resisting it, as it threatens to rob ordinary people of important means of self-description. (shrink)

In this paper, I will argue that the NIMH’s new Research Domain of Criteria is a useful test of the philosophical hypothesis of eliminative materialism and demonstrates the superiority of a moderate eliminativism over integrationism, which is a rival philosophical framework for the cognitive sciences. I begin by going over the motivation for RDOC, which rests on the problems with the existing Diagnostic and Statistical Manual of Mental Disorders framework in psychiatry. Then, I introduce the main tenets of RDoC before (...) discussing eliminativism and trying to show what a moderate eliminativism looks like through the example of addiction. I then contrast that approach with intregrationism to the latter’s detriment. I end by wondering whether the broadly political consequences of eliminativism give us non-scientific reasons for resisting it, as it threatens to rob ordinary people of important means of self-description. (shrink)

According to Marr's theory of vision, computational processes of early vision rely for their success on certain "natural constraints" in the physical environment. I examine the implications of this feature of Marr's theory for the question whether psychological states supervene on neural states. It is reasonable to hold that Marr's theory is nonindividualistic in that, given the role of natural constraints, distinct computational theories of the same neural processes may be justified in different environments. But to avoid trivializing computational explanations, (...) theories must respect methodological solipsism in the sense that within a theory there cannot be differences in content without a corresponding difference in neural states. (shrink)

A central aspect of the computational theory of vision developed by Marr and his coworkers is the use made of contingent regularities in the physical environment to explain how the visual system determines the shape and location of objects in the world on the basis of the spatial organization of the retinal image. Marr (1982) refers to these environmental regularities as “natural constraints” and “physical assumptions.” In this paper I am concerned with recent arguments concerning the implications of this feature (...) of Marr’s theory for understanding psychological explanation. Burge (1986) claims that Marr’s use of natural constraints shows the theory to be nonindividualistic, in the sense that the individuation of psychological states depends essentially on the objects and conditions of the world external to the subject. While it does capture an important aspect of Marr’s theory, Burge’s account is misleadingly incomplete. To see this it is useful to compare the issue of individualism with the question whether the theory is compatible with methodological solipsism as a research strategy. (shrink)