Classifying is a fundamental operation in the acquisition of knowledge. Taxonomic theory can help students of cognition, evolutionary psychology, ethology, anatomy, and sociobiology to avoid serious mistakes, both practical and theoretical. More positively, it helps in generating hypotheses useful to a wide range of disciplines. Composite wholes, such as species and societies, are “individuals” in the logical sense, and should not be treated as if they were classes. A group of analogous features is a natural kind, but a group of (...) homologous features is not. Imposing hypotheses justified only on the basis of nominalist, realist, phenomenalist, or conceptualist metaphysics upon the neurophysiology of organisms or upon the causes of behavior exemplifies the “psychologist's fallacy” of William James. Levels should be distinguished from their members and from classes of levels, and the ontological status of entities ranked at levels should be made clear. It is important not to confuse such categories as substance and process with one another. Several genetical terms, such as “gene” and chromosome,” are even more equivocal than has been realized. Discussions about units of selection, behavior, and thinking suffer from the ambiguity of a “unit of” an entity. An important source of misunderstanding about natural selection is the habit of treating it as an “agent”: in an important sense, natural selection does not “act” at all. (shrink)

How do we form concepts like those of three, bicycle and red? According to Kant, we form them by carrying out acts of comparison, reflection and abstraction on information provided by the senses. Kant's answer raised numerous objections from philosophers and psychologists alike. "Kant e la formazione dei concetti" argues that Kant is able to rebut those objections. The book shows that, for Kant, it is possible to perceive objects without employing concepts; it explains how, given those perceptions, we can (...) form categories and empirical concepts; and it argues that theories like Kant's - abstractionist theories of concept formation - are more plausible than is often assumed. (shrink)

We offer an empirical assessment of description theories of proper names. We examine empirical evidence on lexical and cognitive development, memory, and aphasia, to see whether it supports Descriptivism. We show that description theories demand much more, in terms of psychological assumptions, than what the data suggest; hence, they lack empirical support. We argue that this problem undermines their success as philosophical theories for proper names in natural languages. We conclude by presenting and defending a preliminary alternative account of reference (...) from a developmental perspective. (shrink)

Although our concepts of “Mama,” “milk,” and “mice” have much in common, the suggestion that they are identical in structure in the mind of the prelinguistic child is mistaken. Even infants think about objects as different from substances and appreciate the distinction between kinds (e.g., mice) and individuals (e.g., Mama). Such cognitive capacities exist in other animals as well, and have important adaptive consequences.

Productivity is a central concept in the study of language and language acquisition. As a test case for exploring the notion of productivity, we focus on the noun slots of verb frames, such as __want__, __see__, and __get__. We develop a novel combination of measures designed to assess both the flexibility and creativity of use in these slots. We do so using a rigorously controlled sample of child speech and child directed speech from three English-speaking children between the ages of (...) 2–3 years and their caregivers. We find different levels of creativity and flexibility between the adult and child samples for some measures, for some slots, and for some developmental periods. We discuss these differences in the context of verb frame semantics, conventionality versus creativity and child errors, and draw some tentative conclusions regarding developmental changes in children's early grammatical representations. (shrink)

The network theory of conceptual development is the theory that conceptual developmentmay be represented as a process of constructing a network of linked nodes. The nodes of such a network represent concepts and the links between nodes represent relations between concepts. The structure of such a network is not determined by experience alone but must evolve in accordance with abstraction heuristics, which constrain the varieties of network between which experience must decide. This paper criticizes the network theory on the grounds (...) that current proposals regarding these abstraction heuristics all fail, and further, that, given certain plausible assumptions, no viable account of these abstraction heuristics will be possible. Abstraction heuristics cannot be universal principles of rational thought because virtually no concept is intrinsically unsuitable for use in a true and useful representation of reality. Nor can they be species-specific natural conventions because in that case, it is argued, we would not be able even in principle to learn to understand the language of creatures who used different ones. (shrink)

This monograph introduces a meta-framework for conducting interdisciplinary research in the science of emotion, as well as a framework for a particular kind of theory of emotion. It can also be understood as a “cross-over” book that introduces neophytes to some of the current discourse and major challenges for an interdisciplinary approach to the science of emotion, especially from a philosophical perspective. It also engages experts from across the disciplines who are interested in conducting an interdisciplinary approach to research and (...) theorizing in the science of emotion, and introduces to them some of the contemporary debates in the philosophy of emotion. It does so by providing a taxonomy of theories of emotion which allows one to understand the contemporary interdisciplinary discourse in the science of emotion as a debate between four fundamental types of theories of emotion—realism, instrumentalism, eliminative-realism, and eliminativism—and which can be found or potentially found across the disciplines, and by arguing for foundational principles which can unify, without consilience, these four kinds of approaches as perspectives about the same object of inquiry. It also covers a wide range of concerns, including the problem of skepticism in the science of emotion, the problem of the underdetermination of a theory by the evidence, the question of the place of ordinary intuitions and ordinary language for a science of emotion, the mind-body problem, the hard problem of consciousness, the meta-hard problem of consciousness, the problem of intentionality, questions about the rationality of emotions and whether emotions can be a vehicle for knowledge, and the debate between cognitive and noncognitive theories in the philosophy of emotion. (shrink)

Why are some words easier to learn than others? And what enables the eventual learning of the more difficult words? These questions were addressed for nouns using a paradigm in which adults were exposed to naturalistic maternal input that was manipulated to simulate access to several different information sources, both alone and in combination: observation of the extralinguistic contexts in which the target word was used, the words that co‐occurred with the target word, and the target word's syntactic context. Words (...) that were not accurately identified from observation alone were both abstract (e.g., music) and concrete (e.g., tail). Whether a noun could be learned from observation depended on whether it labeled a basic‐level object category (BLOC). However, the difference between BLOC labels and non‐BLOC labels was eliminated when observation was supplemented with linguistic context. Thus, although BLOC labels can be learned from observation alone, non‐BLOC labels require richer linguistic context. These findings support a model of vocabulary growth in which an important role is played by changes in the information to which learners have access. (shrink)

LAS is a program that acquires augmented transition network (ATN) grammars. It requires as data sentences of the language and semantic network representatives of their meaning. In acquiring the ATN grammars, it induces the word classes of the language, the rules of formation for sentences, and the rules mapping sentences onto meaning. The induced ATN grammar can be used both for sentence generation and sentence comprehension. Critical to the performance of the program are assumptions that it makes about the relation (...) between sentence structure and surface structure (the graph deformation condition), about when word classes may be formed and when ATN networks may be merged, and about the structure of noun phrases. These assumptions seem to be good heuristics which are largely true for natural languages although they would not be true for many nonnatural languages. Provided these assumptions are satisfied LAS seems capable of learning any context‐free language. (shrink)

Analogical cognition, extensively researched by Dedre Gentner and her colleagues over the past thirty five years, has been described as the core of human cognition, and it characterizes our use of many words. This research provides significant insight into the nature of word meaning, but it has been ignored by linguists and philosophers of language. I discuss some of the implications of the research for our account of word meaning. In particular, I argue that the research points to, and helps (...) account for, a key explanatory role that linguistic meaning must play. The research also shows how words contribute to thought as opposed to merely being a means of conveying thought. (shrink)

Glenberg's account falls short in several respects. Besides requiring clearer explication of basic concepts, his account fails to recognize the autonomous nature of perception. His account of what is remembered, and its description, is too static. His strictures against connectionist modeling might be overcome by combining the notions of psychological space and principled learning in an embodied and situated network.

This article discusses the importance of social interaction for the development of the representations for symbolic communication. We suggest that there is no need to distinguish between different representational systems emerging at different stages of development. Instead, we propose that representations are rich right from the beginning of a child’s life, and that they are driven mainly by acting and interacting in the physical and social world. The more variety in a child’s interactional experience (i.e., synchrony, sequentiality, and prediction), the (...) more enriched and abstracted the representations become. We review literature providing evidence for the ways in which infants’ development toward symbolic communication benefits from repeated social (inter)action and consider some implications for computational approaches. (shrink)