The rise of Bayesianism in cognitive science promises to shape the debate between nativists and empiricists into more productive forms—or so have claimed several philosophers and cognitive scientists. The present paper explicates this claim, distinguishing different ways of understanding it. After clarifying what is at stake in the controversy between nativists and empiricists, and what is involved in current Bayesian cognitive science, the paper argues that Bayesianism offers not a vindication of either nativism or empiricism, but one way to talk (...) precisely and transparently about the kinds of mechanisms and representations underlying the acquisition of psychological traits without a commitment to an innate language of thought. (shrink)

Is there a notion of domain specificity which affords genuine insight in the context of the highly modular mind, i.e. a mind which has not only input modules, but also central ‘conceptual’ modules? Our answer to this question is no. The main argument is simple enough: we lay out some constraints that a theoretically useful notion of domain specificity, in the context of the highly modular mind, would need to meet. We then survey a host of accounts of what domain (...) specificity is, based on the intuitive idea that a domain specific mechanism is restricted in the kind of information that it processes, and show that each fails at least one of those constraints. (shrink)

The main thesis of Heyes' book is that all of the domain-specific learning mechanisms that make the human mind so different from the minds of other animals are culturally created and culturally acquired gadgets. The only innate differences are some motivational tweaks, enhanced capacities for associative learning, and enhanced executive function abilities. But Heyes' argument depends on contrasting cognitive gadgets with cognitive instincts, which are said to be innately specified. This ignores what has for some years been the mainstream nativist/anti-empiricist (...) view, which commits only to partially specified learning systems that become elaborated and built through domain-specific learning. (shrink)

In this paper, I argue for three claims. The first is that the difference between analog and digital representation lies in the format and not the medium of representation. The second is that whether a given system is analog or digital will sometimes depend on facts about the user of that system. The third is that the first two claims are implicit in Haugeland's (1998) account of the distinction.

Recent evidence that young children seem to both understand false belief in one sense, but not in another, has led to two-systems theorizing about mindreading. By analyzing the most detailed two-systems approach in studying social cognition—the theory of mindreading defended by Ian Apperly and Stephen Butterfill—I argue that that even when dutifully constructed, two-systems approaches in social cognition struggle to adequately define the mindreading systems in terms of signature processing limits, an issue that becomes most apparent when investigating mindreading in (...) infancy. I end the article by developing several challenges that face any two-systems account of mindreading. (shrink)

An increasingly popular moral argument has it that the story of human evolution shows that we can explain the human disposition to make moral judgments without relying on a realm of moral facts. Such facts can thus be dispensed with. But this argument is a threat to moral realism only if there is no realist position that can explain, in the context of human evolution, the relationship between our particular moral sense and a realm of moral facts. I sketch a (...) plausible evolutionary story that illuminates this relationship. First, the sorts of adaptive pressures facing early humans would have produced more than just potent prosocial emotions, as evolutionary antirealists like to claim; it would have produced judgments—often situated within emotions—to the effect that others could reasonably disapprove of some bit of conduct, for an early human who cared deeply about how others might respond to her action enjoyed the benefits of more cooperative exchanges than those early humans who did not. Second, according to objectivist versions of moral constructivism, moral facts just are facts about how others, ideally situated, would respond to one's conduct. Thus if any objectivist moral constructivism story is true, then we can intelligibly assert that a) our capacity for moral judgment is the product of adaptive pressures acting on early humans and b) some moral judgments are objectively true. (shrink)

Traditional theories of how children learn the positive integers start from infants' abilities in detecting the quantity of physical objects. Our target article examined this view and found no plausible accounts of such development. Most of our commentators appear to agree that no adequate developmental theory is presently available, but they attempt to hold onto a role for early enumeration. Although some defend the traditional theories, others introduce new basic quantitative abilities, new methods of transformation, or new types of end (...) states. A survey of these proposals, however, shows that they do not succeed in bridging the gap to knowledge of the integers. We suggest that a better theory depends on starting with primitives that are inherently structural and mathematical. (shrink)

Many experiments with infants suggest that they possess quantitative abilities, and many experimentalists believe that these abilities set the stage for later mathematics: natural numbers and arithmetic. However, the connection between these early and later skills is far from obvious. We evaluate two possible routes to mathematics and argue that neither is sufficient: (1) We first sketch what we think is the most likely model for infant abilities in this domain, and we examine proposals for extrapolating the natural number concept (...) from these beginnings. Proposals for arriving at natural number by (empirical) induction presuppose the mathematical concepts they seek to explain. Moreover, standard experimental tests for children's understanding of number terms do not necessarily tap these concepts. (2) True concepts of number do appear, however, when children are able to understand generalizations over all numbers; for example, the principle of additive commutativity (a+b=b+a). Theories of how children learn such principles usually rely on a process of mapping from physical object groupings. But both experimental results and theoretical considerations imply that direct mapping is insufficient for acquiring these principles. We suggest instead that children may arrive at natural numbers and arithmetic in a more top-down way, by constructing mathematical schemas. (shrink)

Over the last quarter century, the dominant tendency in comparative cognitive psychology has been to emphasize the similarities between human and nonhuman minds and to downplay the differences as (Darwin 1871). In the present target article, we argue that Darwin was mistaken: the profound biological continuity between human and nonhuman animals masks an equally profound discontinuity between human and nonhuman minds. To wit, there is a significant discontinuity in the degree to which human and nonhuman animals are able to approximate (...) the higher-order, systematic, relational capabilities of a physical symbol system (PSS) (Newell 1980). We show that this symbolic-relational discontinuity pervades nearly every domain of cognition and runs much deeper than even the spectacular scaffolding provided by language or culture alone can explain. We propose a representational-level specification as to where human and nonhuman animals' abilities to approximate a PSS are similar and where they differ. We conclude by suggesting that recent symbolic-connectionist models of cognition shed new light on the mechanisms that underlie the gap between human and nonhuman minds. (shrink)

In our target article, we argued that there is a profound functional discontinuity between the cognitive abilities of modern humans and those of all other extant species. Unsurprisingly, our hypothesis elicited a wide range of responses from commentators. After responding to the commentaries, we conclude that our hypothesis lies closer to Darwin's views on the matter than to those of many of our contemporaries.

This paper takes a fresh look at the nativism–empiricism debate, presenting and defending a nativist perspective on the mind. Empiricism is often taken to be the default view both in philosophy and in cognitive science. This paper argues, on the contrary, that there should be no presumption in favor of empiricism (or nativism), but that the existing evidence suggests that nativism is the most promising framework for the scientific study of the mind. Our case on behalf of nativism has four (...) parts. (1) We characterize nativism’s core commitments relative to the contemporary debate between empiricists and nativists, (2) we present the positive case for nativism in terms of two central nativist arguments (the poverty of the stimulus argument and the argument from animals), (3) we respond to a number of influential objections to nativist theories, and (4) we explain the nativist approach to the conceptual system. (shrink)

There is at present a lively debate in cognitive psychology concerning the origin of natural number concepts. At the center of this debate is the system of mental magnitudes, an innately given cognitive mechanism that represents cardinality and that performs a variety of arithmetical operations. Most participants in the debate argue that this system cannot be the sole source of natural number concepts, because they take it to represent cardinality approximately while natural number concepts are precise. In this paper, I (...) argue that the claim that mental magnitudes represent cardinality approximately overlooks the distinction between a magnitude and the increments that compose to form that magnitude. While magnitudes do indeed represent cardinality approximately, they are composed of a precise number of increments. I argue further that learning the number words and the counting routine may allow one to mark in memory the number of increments that composed to form a magnitude, thereby creating a precise representation of cardinality. (shrink)

The Holographic Principle holds that the information in any region of space and time exists on the surface of that region. Layers of the holographic, universal “now” go from the inception of the universe to the present. Universal Consciousness is the timeless source of actuality and mentality. Information is experience, and the expansion of the “now” leads to higher and higher orders of experience in the Universe, with various levels of consciousness emerging from experience. The brain consists of a nested (...) hierarchy of surfaces that range from the most elementary field through the neuron, neural group, and the whole brain. Evidence from the evolution and structure of the brain shows that optimal surface areas in a variety of structures are conserved with respect to underlying surfaces. Microgenesis, the becoming of the mental state through a process of recapitulation of development and evolution, is in full accord with the Holographic Principle. Evidence from a wide variety of contexts indicates the capacity on the mind for total recall of past life events and for access to universal information, indicating connection with the holographic surfaces of prior “nows” and with the Universal holographic boundary. In summation, the Holographic Principle can help us explain the unity and mechanisms of perception, experience, memory, and consciousness. (shrink)

In this paper, I explain why evolutionary psychiatry is not where the next revolution in psychiatry will come from. I will proceed as follows. Firstly, I will review some of the problems commonly attributed to current nosologies, more specifically to the DSM. One of these problems is the lack of a clear and consensual definition of mental disorder; I will then examine specific attempts to spell out such a definition that use the evolutionary framework. One definition that deserves particular attention, (...) is one put forward by Jerome Wakefield. Despite my sympathy for his position, I must indicate a few reasons why I think his attempt might not be able to resolve the problems related to current nosologies. I suggest that it might be wiser for an evolutionary psychiatrist to adopt the more integrative framework of “treatable conditions”. As it is thought that an evolutionary approach can contribute to transforming the way we look at mental disorders, I will provide the reader with a brief sketch of the basic tenets of evolutionary psychology. The picture of the architecture of the human mind that emerges from evolutionary psychology is thought by some to be the crucial backdrop to identifying specific mental disorders and distinguishing them from normal conditions. I will also provide two examples of how evolutionary thinking is supposed to change our thinking about some disorders. Using the case of depression, I will then show what kind of problems evolutionary explanations of particular psychopathologies encounter. In conclusion, I will evaluate where evolutionary thinking leaves us in regard to what I identify as the main problems of our current nosologies. I’ll then argue that the prospects of evolutionary psychiatry are not good. (shrink)

Two prevailing accounts of the structure of the mind have been provided, respectively, by the Dual System Theory and by the Massive Modularity Hypothesis. It has been claimed, however, that they cannot both be true at the same time, i.e., that they are incompatible and, thus, that one of them must be abandoned. I will offer some arguments to challenge this claim. I will show that a plausible understanding of each theory makes it possible for them both to be true (...) at the same time. Moreover, I will argue that by appealing to each other they can offer a more complete and detailed account of the architecture of the mind. (shrink)

Human behavior and thought often exhibit a familiar pattern of within group similarity and between group difference. Many of these patterns are attributed to cultural differences. For much of the history of its investigation into behavior and thought, however, cognitive science has been disproportionately focused on uncovering and explaining the more universal features of human minds—or the universal features of minds in general. -/- This entry charts out the ways in which this has changed over recent decades. It sketches the (...) motivation behind the cultural turn in cognitive science, and situates some of its central findings with respect to the questions that animate it and the debates that it has inspired. Woven throughout the entry are examples of how the cognitive science of culture, and especially its elevated concern with different forms of diversity and variation, continues to influence and be influenced by philosophers. -/- One cluster of philosophical work falls within the traditional subject matter of philosophy of science, in this case of the cognitive and social sciences. Philosophers have analyzed and assessed the methods and evidence central to the scientific study of cognition and culture, and have offered conceptual scrutiny, clarification, and synthesis. Research in a second vein sees philosophers themselves contributing more directly to cognitive scientific projects, (co)constructing theories, helping build computational models, even gathering empirical data. A third kind of work is naturalistic philosophy or philosophy of nature, wherein philosophers seek to use results from the cognitive science of culture to inform or transform debates over long-standing philosophical questions, including questions about the nature of philosophy and philosophical methodology itself. (shrink)

Thesis (Ph.D.)--University of Hawaii at Manoa, 2008.

This thesis aims to develop a psychologically plausible account of concepts by integrating key insights from philosophy (on the metaphysical basis for concept possession) and psychology (on the mechanisms underlying concept acquisition). I adopt an approach known as informational atomism, developed by Jerry Fodor. Informational atomism is the conjunction of two theses: (i) informational semantics, according to which conceptual content is constituted exhaustively by nomological mind–world relations; and (ii) conceptual atomism, according to which (lexical) concepts have no internal structure. I (...) argue that informational semantics needs to be supplemented by allowing content-constitutive rules of inference (“meaning postulates”). This is because the content of one important class of concepts, the logical terms, is not plausibly informational. And since, it is argued, no principled distinction can be drawn between logical concepts and the rest, the problem that this raises is a general one. An immediate difficulty is that Quine’s classic arguments against the analytic/synthetic distinction suggest that there can be no principled basis for distinguishing content-constitutive rules from the rest. I show that this concern can be overcome by taking a psychological approach: there is a fact of the matter as to whether or not a particular inference is governed by a mentally-represented inference rule, albeit one that analytic philosophy does not have the resources to determine. I then consider the implications of this approach for concept acquisition. One mechanism underlying concept acquisition is the development of perceptual detectors for the objects that we encounter. I investigate how this might work, by drawing on recent ideas in ethology on ‘learning instincts’, and recent insights into the neurological basis for perceptual learning. What emerges is a view of concept acquisition as involving a complex interplay between innate constraints and environmental input. This supports Fodor’s recent move away from radical concept nativism: concept acquisition requires innate mechanisms, but does not require that concepts themselves be innate. (shrink)

A theoretical divide exists on the study of the adapted psychological mechanisms underlying human culture. It has been said for instance that we evolved a brain for all seasons and that this is opposed to the framework of the modularity of mind. We approach the nature of these explanatory differences based on what we judge to be a misunderstanding with respect to the evolution of domain-specific modules. We underline the fact that the input-domain of a module and its ecological function (...) should not be conflated. We propose a more generous way of considering how evolutionary functions in mental architecture account for the possibility of general adaptations for cultural cognition. We show that modularity happens to be a good tool to research and decompose mechanisms with plastic functions such as in some forms of social learning. The idea of "modules for all seasons" is so vindicated. Existe una divisoria teórica en el estudio de los mecanismos psicológicos biológicamente adaptados que subyacen a la cultura humana. Se ha dicho, por un lado, que hemos evolucionado un cerebro para todas las estaciones, lo que se opone, por el otro, al marco de la modularidad de la mente. Consideramos la naturaleza de estas diferencias explicativas sobre la base de lo que nos parece un error de comprensión acerca de la evolución de módulos específicos de dominio. Subrayamos el hecho de que el dominio de entrada de un módulo y su función ecológica no deben ser confundidos. Proponemos una manera más generosa de considerar cómo las funciones evolutivas de la arquitectura mental pueden dar cuenta de la posibilidad de adaptaciones generales a la cognición cultural. Mostramos que la modularidad resulta ser un buen instrumento para investigar y descomponer mecanismos con funciones plásticas, como las que encontramos en algunas formas de aprendizaje social. De este modo, se defiende la idea de "módulos para todas las estaciones". (shrink)