A response to a recent critique by Cem Bozşahin of the theory of syntactic semantics as it applies to Helen Keller, and some applications of the theory to the philosophy of computer science.

A theory of truth is language-transcendent if it ascribes truth conditions to truth-bearers that are not expressible in our natural language; a theory is language-immanent if it is not language-transcendent. In this paper, I argue for the following theses. Whether the correct theory of truth is language-transcendent or language-immanent will have significant consequences for general philosophy. Prima facie, a language-transcendent theory is preferable. However, language-transcendent theories tend to require substantive metaphysical commitments concerning truth. Deflationist theories are particularly interesting in this (...) context. I argue that, if deflationism is to remain consistent with its motivations, then it must opt for a language-immanent conception of truth. (shrink)

Teresa believes in God. Maggie’s wife believes that the Earth is flat, and also that Maggie should be home from work by now. Anouk—a cat—believes it is dinner time. This dissertation is about what believing is: it concerns what, exactly, ordinary people are attributing to Teresa, Maggie’s wife, and Anouk when affirming that they are believers. Part I distinguishes the attitudes of belief that people attribute to each other (and other animals) in ordinary life from the cognitive states of belief (...) theoretically posited by (some) cognitive scientists. Part II defends the view that to have an attitude of belief is to live—to be disposed to act, react, think, and feel—in a pattern that an actual belief attributor identifies with taking the world to be some way. Drawing on scientific, scholarly, and literary sources of evidence, How Beliefs are like Colors provides a framework for research on belief across the humanities and sciences of the mind. (shrink)

One of the main dividing lines within the debate on the problem of consciousness comes between representationalist separatism and phenomenalist inseparatism. According to the former, representational mental states are possible in the absence of phenomenal consciousness, and furthermore, an adequate naturalistic theory of representation is necessary and sufficient for the explanation of phenomenal consciousness. According to the later, phenomenal consciousness is necessary for the existence and the explanation of any representational state and, indeed, of any mental state. Several arguments have (...) tried to offer support to this inseparatist thesis. Those proposed by Galen Strawson and John Searle summarize this kind of argument, which is based on the introduction of implicit premises. In addition to this failure, inseparatism faces the problems of its empirical inoperativeness and inadequacy, as well as its lack of phylogenetic verisimilitude. (shrink)

The question of whether conscious experience is restricted by cognitive access and exhausted by report, or whether it overflows it—comprising more information than can be reported—is hotly debated. Recently, we provided evidence in favor of Overflow, showing that observers discriminated the color‐diversity (CD) of letters in an array, while their working‐memory and attention were dedicated to encoding and reporting a set of cued letters. An alternative interpretation is that CD‐discriminations do not entail conscious experience of the underlying colors. Here we (...) argue, based on conceptual considerations and consistency with neuroscience and phenomenology, in favor of the Overflow interpretation. (shrink)

Mind &Language, Volume 34, Issue 5, Page 667-680, November 2019.

Is faith that p compatible with disbelief that p? I argue that it is. After surveying some recent literature on the compatibility of propositional and non-propositional forms of faith with the lack of belief, I take the next step and offer several arguments for the thesis that both these forms of faith are also compatible, in certain cases, with outright disbelief. This is contrary to the views of some significant recent commentators on propositional faith, including Robert Audi and Daniel Howard-Snyder. (...) The primary argument revolves around the possibility of maintaining a single faith through drastic changes in cognitive attitude. I argue that once we allow that propositional faith is compatible with weaker cognitive attitudes than belief, such as acceptance or assent, there is prima facie reason to consider propositional faith as sometimes compatible with disbelief. I then consider objections and offer some final reflections on the significance of the thesis. (shrink)

I argue that Sellars’s distinction between signifying and picturing should be taken seriously by philosophers of mind, language, and cognition. I begin with interpretations of key Sellarsian texts in order to show that picturing is best understood as a theory of non-linguistic cognitive representations through which animals navigate their environments. This is distinct from the kind of discursive cognition that Sellars called ‘signifying’ and which is best understood in terms of socio-linguistic inferences. I argue that picturing is required because reflection (...) on signifying cannot adequately explain our need for cognitive friction. I then show how the idea of picturing is further developed by Paul Churchland, Ruth Garrett Millikan, and Huw Price. I finally turn to predictive processing as a theory of cognitive representation, and in particular Andy Clark’s ‘radical predictive processing’, to further characterize picturing. However, doing so has the cost of pushing picturing and signifying further apart than Sellars intended. (shrink)

It is generally accepted that, in the cognitive and neural sciences, there are both computational and mechanistic explanations. We ask how computational explanations can integrate into the mechanistic hierarchy. The problem stems from the fact that implementation and mechanistic relations have different forms. The implementation relation, from the states of an abstract computational system to the physical, implementing states is a homomorphism mapping relation. The mechanistic relation, however, is that of part/whole; the explaining features in a mechanistic explanation are the (...) components of the explanandum phenomenon and their causal organization. Moreover, each component in one level of mechanism is constituted and explained by components of an underlying level of mechanism. Hence, it seems, computational variables and functions cannot be mechanistically explained by the medium-dependent states and properties that implement them. How then, do the computational and the implementational integrate to create the mechanistic hierarchy? After explicating the general problem, we further demonstrate it through a concrete example, of reinforcement learning, in the cognitive and neural sciences. We then examine two possible solutions. On one solution, the mechanistic hierarchy embeds at the same levels computational and implementational properties. This picture fits with the view that computational explanations are mechanistic sketches. On the other solution, there are two separate hierarchies, one computational and another implementational, which are related by the implementation relation. This picture fits with the view that computational explanations are functional and autonomous explanations. It is less clear how these solutions fit with the view that computational explanations are full-fledged mechanistic explanations. Finally, we argue that both pictures are consistent with the reinforcement learning example, but that scientific practice does not align with the view that computational models are merely mechanistic sketches. (shrink)

The paper develops two related thought experiments exploring variations on an ‘animat’ theme. Animats are hybrid devices with both artificial and biological components. Traditionally, ‘components’ have been construed in concrete terms, as physical parts or constituent material structures. Many fascinating issues arise within this context of hybrid physical organization. However, within the context of functional/computational theories of mentality, demarcations based purely on material structure are unduly narrow. It is abstract functional structure which does the key work in characterizing the respective (...) ‘components’ of thinking systems, while the ‘stuff’ of material implementation is of secondary importance. Thus the paper extends the received animat paradigm, and investigates some intriguing consequences of expanding the conception of bio-machine hybrids to include abstract functional and semantic structure. In particular, the thought experiments consider cases of mind-machine merger where there is no physical Brain-Machine Interface: indeed, the material human body and brain have been removed from the picture altogether. The first experiment illustrates some intrinsic theoretical difficulties in attempting to replicate the human mind in an alternative material medium, while the second reveals some deep conceptual problems in attempting to create a form of truly Artificial General Intelligence. (shrink)

Contemporary research on mindreading or theory of mind has resulted in three major findings: There is a difference in the age of passing of the elicited-response false belief task and its spontaneous–response version; 15-month-olds pass the latter while the former is passed only by 4-year-olds. Linguistic and social factors influence the development of the ability to mindread in many ways. There are cultures with folk psychologies significantly different from the Western one, and children from such cultures tend to show different (...) timetables of mindreading development. The traditional accounts of the data are nativism, rational constructivism, and two-systems theory. In this paper, we offer criticism of these traditional cognitivist accounts and explore an alternative, action-based framework. We argue that even though they all seem to explain the above empirical data, there are other, theoretical reasons why their explanations are untenable. Specifically, we discuss the problem of foundationalism and the related problem of innateness. Finally, we explore an alternative, action-based framework that avoids these theoretical limitations and offer an interpretation of the empirical data from that perspective. (shrink)

Multiple sciences have converged, in the past two decades, on a hitherto mostly unremarked question: what is observation? Here, I examine this evolution, focusing on three sciences: physics, especially quantum information theory, developmental biology, especially its molecular and “evo-devo” branches, and cognitive science, especially perceptual psychology and robotics. I trace the history of this question to the late 19th century, and through the conceptual revolutions of the 20th century. I show how the increasing interdisciplinary focus on the process of extracting (...) information from an environment provides an opportunity for conceptual unification, and sketch an outline of what such a unification might look like. (shrink)

The semantic view of computation is the claim that semantic properties play an essential role in the individuation of physical computing systems such as laptops and brains. The main argument for the semantic view rests on the fact that some physical systems simultaneously implement different automata at the same time, in the same space, and even in the very same physical properties. Recently, several authors have challenged this argument. They accept the premise of simultaneous implementation but reject the semantic conclusion. (...) In this paper, I aim to explicate the semantic view and to address these objections. I first characterize the semantic view and distinguish it from other, closely related views. Then, I contend that the master argument for the semantic view survives the counter-arguments against it. One counter-argument is that computational individuation is not forced to choose between the implemented automata but rather always picks out a more basic computational structure. My response is that this move might undermine the notion of computational equivalence. Another counter-argument is that while computational individuation is forced to rely on extrinsic features, these features need not be semantic. My reply is that the semantic view better accounts for these extrinsic features than the proposed non-semantic alternatives. (shrink)

What is it for two people to think of an object, natural kind or other entity under the same mode of presentation (MOP)? This has seemed a particularly difficult question for advocates of the Mental Files approach, the Language of Thought, or other ‘atomistic’ theories. In this paper I propose a simple answer. I first argue that, by parallel with the synchronic intrapersonal case, the sharing of a MOP should involve a certain kind of epistemic transparency between the token thoughts (...) of the two thinkers. I then explain how shared words help bring about this transparency. Finally, I show how this account can be extended for thoughts expressed using demonstratives or indexicals. (shrink)

The mainstream view in cognitive science is that computation lies at the basis of and explains cognition. Our analysis reveals that there is no compelling evidence or argument for thinking that brains compute. It makes the case for inverting the explanatory order proposed by the computational basis of cognition thesis. We give reasons to reverse the polarity of standard thinking on this topic, and ask how it is possible that computation, natural and artificial, might be based on cognition and not (...) the other way around. (shrink)

I develop and argue for a novel theory of the mental state of identity confusion. I also argue that this mental state can corrupt the proper function of singular terms in linguistic communication. Finally, I propose a theory according to which identity confusion should be treated as a the source of a new sort of linguistic performance error, similar to malapropism, slips of the tongue, and so-called intentional obfuscation (inducing false belief by manipulating language in specific ways). -/- Going into (...) a bit more detail, I start by arguing that contemporary analytic philosophy, and philosophy of language in particular, has been dominated by a ‘puzzle-driven’ methodology. This tradition, I claim, seeks to provide a coherent system for describing semantic features of all conceivable cases where a speaker is confused about the identity or distinctness of an object. On my view, identity confusion is a mental state of an agent who either believes falsely that a is identical to b or believes falsely that a is not identical to b. I show how many influential arguments in philosophy – e.g., Kripke on semantic reference and speaker’s reference – are invalidated because of false assumptions about the state of identity confusion. -/- More positively, I assume an ‘explanation-driven’ approach, combining strands in Gricean intentionalism and Ruth Millikan’s teleosemantics. On this view, confused speakers are ‘sub-optimal’: their mental state disrupts the proper function of the relevant singular terms in their idiolects. Furthermore, I flesh out a theoretically fruitful notion of ‘edenic reference,’ which idealizes away from confusion in defining the optimal or stabilizing function of singular terms. I argue that speakers must satisfy certain broadly cognitive constraints if their utterances are to play a role in explaining the maintenance of a practice of using a singular term in a linguistic community. (shrink)

This paper argues that there are two distinct kinds of senses, immediate senses and reflective senses. Immediate senses are what we are immediately aware of when we are in an intentional mental state, while reflective senses are what we understand of an intentional mental state's (putative) referent upon reflection. I suggest an account of immediate and reflective senses that is based on the phenomenal intentionality theory, a theory of intentionality in terms of phenomenal consciousness. My focus is on the immediate (...) and reflective senses of thoughts and the concepts they involve, but it also applies to other mental instances of intentionality. (shrink)

Neuroeconomics is a science pledged to tracing the neurobiological correlates involved in decision-making, especially in the case of economic decisions. Despite representing a recent research field that is still identifying its research objects, tools and methods, its epistemological scope and scientific relevance have already been openly questioned by several authors. Among these critics, the most influential names in the debate have been those of Faruk Gul and Wolfgang Pesendorfer, who claim that the data on neural activity cannot find place in (...) economic models, which should on the contrary be solely based on the data produced by choices. This paper aims at countering the gloomy and unsubstantiated claims of these two authors and those who believe that neuroscience cannot provide new and useful insights to the established knowledge of standard economics. The main point stressed here is that this perception is the product of a general misunderstanding of the advances made by neuroscience, which are incidentally of crucial importance. (shrink)

The Language of Thought: A New Philosophical Direction, by SchneiderSusan. Cambridge, MA: MIT Press, 2011. Pp. xii + 259.

The standard view of the function of reason is that it emerged to enable individuals to make better judgements and choices. Once individuals could think better, and once we had suitable communicative tools, individual reasoning acquired a public face; we reasoned together as well as privately, in our own mind. Hugo Mercier and Dan Sperber argue that this gets the story the wrong way around: reasoning evolved for public purposes: to persuade, negotiate, assess. Once it was established publically, perhaps it (...) acquired a private function too. With the exception of a few minor complaints, this evolutionary case is well made. However, Mercier and Sperber embed their evolutionary case within a modular view of the mind and suggest a modular view of public reasoning itself. While I find the evolutionary case persuasive, I am sceptical of the cognitive science framework. (shrink)

Recently, Horsman et al. have proposed a new framework, Abstraction/Representation theory, for understanding and evaluating claims about unconventional or non-standard computation. Among its attractive features, the theory in particular implies a novel account of what is means to be a computer. After expounding on this account, I compare it with other accounts of concrete computation, finding that it does not quite fit in the standard categorization: while it is most similar to some semantic accounts, it is not itself a semantic (...) account. Then I evaluate it according to the six desiderata for accounts of concrete computation proposed by Piccinini. Finding that it does not clearly satisfy some of them, I propose a modification, which I call Agential AR theory, that does, yielding an account that could be a serious competitor to other leading account of concrete computation. (shrink)

In this dissertation, I provide an interpretation and defense of Merleau-Ponty's thesis of the primacy of perception, namely, the thesis that all knowledge is founded in perceptual experience. I take as an interpretative and argumentative key Merleau-Ponty's phenomenological conception of motivation. Whereas epistemology has traditionally accepted a dichotomy between reason and natural causality, I show that this dichotomy is not exhaustive of the forms of epistemic grounding. There is a third type of grounding, the one characteristic of the grounding relations (...) found in perception: motivation. I argue that introducing motivation as a form of epistemic grounding allows us to see how Merleau-Ponty's thesis of the primacy of perception avoids both rationalism and empiricism. Whereas empiricism has argued that all the content of our knowledge is grounded in causal interactions between the world and our senses, and rationalism has held that experience does not suffice as a reason for knowledge, thinking of the relation between experience and knowledge in terms of motivation accommodates the best insights of rationalism and empiricism. Motivation allows us to see how knowledge can be grounded in experience without the content of knowledge being reducible to that of experience. (shrink)

This is a reminiscence and short biographical sketch of the late philosopher and cognitive scientist Jerry Fodor. It includes a summary of his main proposals about the mind: his “Language of Thought” hypothesis; his rejection of analyticity and conceptual role semantics; his “mad dog nativism”; his proposal of mental modules and—by contrast—his skepticism about a computational theory of central cognition; his anti‐reductionist, but still physicalist, views about psychology; and, lastly, his attacks on selectionism. I conclude with some discussion of his (...) idiosyncratic style and of his aesthetic and other interests. An appendix provides some memorable quotes. (shrink)

Perceptual systems respond to proximal stimuli by forming mental representations of distal stimuli. A central goal for the philosophy of perception is to characterize the representations delivered by perceptual systems. It may be that all perceptual representations are in some way proprietarily perceptual and differ from the representational format of thought (Dretske 1981; Carey 2009; Burge 2010; Block ms.). Or it may instead be that perception and cognition always trade in the same code (Prinz 2002; Pylyshyn 2003). This paper rejects (...) both approaches in favor of perceptual pluralism, the thesis that perception delivers a multiplicity of representational formats, some proprietary and some shared with cognition. The argument for perceptual pluralism marshals a wide array of empirical evidence in favor of iconic (i.e., image-like, analog) representations in perception as well as discursive (i.e., language-like, digital) perceptual object representations. (shrink)

Libertarians about free will sometimes argue for their position on the grounds that our phenomenology of action is such that determinism would need to be false for it to be veridical. Many, however, have thought that it would be impossible for us to have an experience that is in contradiction with determinism, since this would require us to have perceptual experience of metaphysical facts. In this paper I show how the libertarian claim is possible. In particular, if experience depicts the (...) world such that there is more than one physically possible future, then determinism would need to be false for that experience to be veridical. I show that we have experiences, or perceptual episodes, of this kind on the basis of recent work in the study of perception. Theorists in this area have argued that we have vision-for-action, and that what we visually perceive are not just objects but also possibilities for action. If we experience that it is possible that we ϕ, then we also experience that it is possible that we not ϕ. Furthermore, we probably experience more than one possibility for action at any one moment. I argue that these are physical possibilities, and therefore that we experience the world such that there is more than one physically possible future. So the libertarian claim about the semantics of agential phenomenology is highly plausible, even if this does not entail libertarianism. (shrink)

The paper looks at the intersection of extended cognition and social cognition. The central claim is that the mechanisms of shared intentionality can equally be considered as coupling mechanisms of cognitive extension into the social domain. This claim will be demonstrated by investigating a detailed example of cooperative action, and it will be argued that such cases imply that socially extended cognition is not only about cognitive vehicles, but that content must additionally to be taken into account. It is finally (...) outlined how social content externalism can in principle be grounded in socially extended cognition. (shrink)

The perceptual system estimates distal conditions based upon proximal sensory input. It typically exploits information from multiple cues across and within modalities: it estimates shape based upon visual and haptic cues; it estimates depth based upon convergence, binocular disparity, motion parallax, and other visual cues; and so on. Bayesian models illuminate the computations through which the perceptual system combines sensory cues. I review key aspects of these models. Based on my review, I argue that we should posit co-referring perceptual representations (...) corresponding to distinct sensory cues. For example, the perceptual system represents a distal size using a representation canonically linked with vision and a distinct representation canonically linked with touch. Distinct co-referring perceptual representations represent the same denotation, but they do so under different modes of presentation. Bayesian cue combination models demonstrate that psychological explanation of perception should attend to mode of presentation and not simply to denotation. (shrink)

Currently, there are almost as many conceptions of emergence as authors who address the issue. Most literature on the matter focuses either on discussing, evaluating and comparing particular contributions or accounts of emergence, or on assessing a particular case study. Our aim in this paper is rather different. We here set out to introduce a distinction that has not been sufficiently taken into account in previous discussions on this topic: the distinction between inter-domain emergence—a relation between items belonging to different (...) ontic domains—and intra-domain emergence—a relation between items belonging to a same ontic domain. Our final purpose is not to assume and defend a definite stance on emergence, but to stress the relevance of such distinction when attempting to argue for or against emergence, in the first place. We will also address the connections between emergence so distinguished and more general philosophical perspectives, suggesting where would reductionists and pluralists stand with respect to intra- and inter-domain emergence. (shrink)

This paper argues that the idea of a computer is unique. Calculators and analog computers are not different ideas about computers, and nature does not compute by itself. Computers, once clearly defined in all their terms and mechanisms, rather than enumerated by behavioral examples, can be more than instrumental tools in science, and more than source of analogies and taxonomies in philosophy. They can help us understand semantic content and its relation to form. This can be achieved because they have (...) the potential to do more than calculators, which are computers that are designed not to learn. Today’s computers are not designed to learn; rather, they are designed to support learning; therefore, any theory of content tested by computers that currently exist must be of an empirical, rather than a formal nature. If they are designed someday to learn, we will see a change in roles, requiring an empirical theory about the Turing architecture’s content, using the primitives of learning machines. This way of thinking, which I call the intensional view of computers, avoids the problems of analogies between minds and computers. It focuses on the constitutive properties of computers, such as showing clearly how they can help us avoid the infinite regress in interpretation, and how we can clarify the terms of the suggested mechanisms to facilitate a useful debate. Within the intensional view, syntax and content in the context of computers become two ends of physically realizing correspondence problems in various domains. (shrink)

Do we think in a language-like format? Taking the marker of language-like formats to be the property of unconstrained systematicity, this paper considers the following master argument for the claim that we do: language is unconstrainedly systematic, if language is unconstrainedly systematic then so is thought, so thought is unconstrainedly systematic. It is easy to feel that there is something right about this argument, that there will be some way of filling in its details that will vindicate the idea that (...) our thought must be unconstrainedly systematic given that the language in which we express it is. Clearly, however, the second premise needs support—we need a principled reason for moving from the unconstrained systematicity of language to the unconstrained systematicity of thought. This paper gives three passes at formulating such a principle. This turns out to be much harder than it might seem. We should, I conclude, resist falling too easily for the lure of this master argument for the language-like format of thought. (shrink)

I argue that we are sometimes morally responsible for having and using (or not using) our concepts, despite the fact that we generally do not choose to have them or have full or direct voluntary control over how we use them. I do so by extending an argument of Angela Smith's; the same features that she says make us morally responsible for some of our attitudes also make us morally responsible for some of our concepts. Specifically, like attitudes, concepts can (...) be (a) conceptually and rationally connected to our evaluative judgments, (b) in principle subject to rational revision (reasons‐responsive), and (c) the basis for actual and potential moral assessments of people that we have good reasons to endorse. Thus, we are open to moral appraisal on the basis of having and using (or not using) our concepts when they reflect our evaluative judgments, though even then it is not always appropriate to praise or blame us on that basis. (shrink)

I know that I could have been where you are right now and that you could have been where I am right now, but that neither of us could have been turnips or natural numbers. This knowledge of metaphysical modality stands in need of explanation. I will offer an account based on our knowledge of the natures, or essencess, of things. I will argue that essences need not be viewed as metaphysically bizarre entities; that we can conceptualise and refer to (...) essences; and that we can gain knowledge of them. We can know about which properties are, and which properties are not, essential to a given entity. This knowledge of essence offers a route to knowledge of the ways those entities must be or could be. (shrink)

Relativism and contextualism have been suggested as candidate semantics for “knowledge” sentences. I argue that relativism faces a problem concerning the preservation of beliefs in memory. Contextualism has been argued to face a similar problem. I argue that contextualists, unlike relativists, can respond to the concern. The overall upshot is that contextualism is superior to relativism in at least one important respect.

The theoretical use of representation faces, among others, two types of inconsistencies, namely: a representation requires the figure of the agent to which it will be representative, which leads either to circularity or to infinite return; and the resulting one, which is the difficulty in reconciling a description, in representative terms, with other more fundamental scientific categories. The proposal of the present study for the solution of these problems was the identification of a referential process starting from the correlation between (...) states of a physical system. It will present an inference about how the superposition of causal history moments of a system can result in a self-referential structure. (shrink)

The papers in this special issue make important contributions to a longstanding debate about how we should conceive of and explain mental phenomena. In other words, they make a case about the best philosophical paradigm for cognitive science. The two main competing approaches, hotly debated for several decades, are representationalism and enactivism. However, recent developments in disciplines such as machine learning and computational neuroscience have fostered a proliferation of intermediate approaches, leading to the emergence of completely new positions, in particular (...) the Predictive Processing approach. Here, we will consider the different approaches discussed in this volume. (shrink)

We analyse Hutto & Myin's three arguments against computationalism [Hutto, D., E. Myin, A. Peeters, and F. Zahnoun. Forthcoming. “The Cognitive Basis of Computation: Putting Computation In Its Place.” In The Routledge Handbook of the Computational Mind, edited by M. Sprevak, and M. Colombo. London: Routledge.; Hutto, D., and E. Myin. 2012. Radicalizing Enactivism: Basic Minds Without Content. Cambridge, MA: MIT Press; Hutto, D., and E. Myin. 2017. Evolving Enactivism: Basic Minds Meet Content. Cambridge, MA: MIT Press]. The Hard Problem (...) of Content targets computationalism that relies on semantic notion of computation, claiming that it cannot account for the natural origins of content. The Intentionality Problem is targeted against computationalism using non-semantic accounts of computation, arguing that it fails in explaining intentionality. Theion Problem claims that causal interaction between concrete physical processes and abstract computational properties is problematic. We argue that these a... (shrink)

In this paper, I argue that computationalism is a progressive research tradition. Its metaphysical assumptions are that nervous systems are computational, and that information processing is necessary for cognition to occur. First, the primary reasons why information processing should explain cognition are reviewed. Then I argue that early formulations of these reasons are outdated. However, by relying on the mechanistic account of physical computation, they can be recast in a compelling way. Next, I contrast two computational models of working memory (...) to show how modeling has progressed over the years. The methodological assumptions of new modeling work are best understood in the mechanistic framework, which is evidenced by the way in which models are empirically validated. Moreover, the methodological and theoretical progress in computational neuroscience vindicates the new mechanistic approach to explanation, which, at the same time, justifies the best practices of computational modeling. Overall, computational modeling is deservedly successful in cognitive science. Its successes are related to deep conceptual connections between cognition and computation. Computationalism is not only here to stay, it becomes stronger every year. (shrink)

Non‐human animal evidence is frequently invoked in debates in cognitive science. Here, I critically assess one use of such evidence in the form of the “argument from animals,” a prominent positive argument for nativism, which roughly states that non‐human cognitive development is largely nativist, and thus human cognitive development is most likely largely nativist too. I offer a number of reasons to reject this argument, and in doing so derive some important broader lessons concerning the appropriate role of non‐human animal (...) evidence in a science of the human mind. (shrink)

People cannot contemplate a proposition without believing that proposition. A model of belief fixation is sketched and used to explain hitherto disparate, recalcitrant, and somewhat mysterious psychological phenomena and philosophical paradoxes. Toward this end I also contend that our intuitive understanding of the workings of introspection is mistaken. In particular, I argue that propositional attitudes are beyond the grasp of our introspective capacities. We learn about our beliefs from observing our behavior, not from introspecting our stock beliefs. -/- The model (...) of belief fixation offered in the dissertation poses a novel dilemma for theories of rationality. One might have thought that the ability to contemplate ideas while withholding assent is a necessary condition on rationality. In short, it seems that rational creatures shouldn‘t just form their beliefs based on whatever they happen to think. However, it seems that we are creatures that automatically and reflexively form our beliefs based on whatever propositions we happen to consider. Thus, either the rational requirement that states that we must have evidence for our beliefs must be jettisoned or we must accept the conclusion that we are necessarily irrational. (shrink)

Gleitman and Trueswell’s “The easy words” forms a pair with their earlier paper, “Hard words,” completing a circle in which the authors ask how “easy” words (e.g., concrete nouns) are learned. They take up the hypothesis of “cross‐situational learning,” and argue that accumulating observations actually hinders learning if the mechanism requires holding all exemplars in memory over time. They present an alternative hypothesis, “Propose but Verify,” wherein people use one‐trial learning to confirm or disconfirm their current hypothesis—a mechanism distinctly different (...) from cross‐situational learning. (shrink)