urrently a paradigm shift is occurring in for the conventional understanding of represen- which the traditional view of the brain as tions. The paper also summarizes the rationale for C representing the "things of the world" is the selection of contributions to this volume, which challenged in several respects. The present volume will roughly proceed from relatively "realist" c- is placed at the edge of this transition. Based on the ceptions of representation to more "constructivist" 1997 conference "New Trends in Cognitive Sci- interpretations. The final chapter of discussions, ence" in Vienna, Austria, it tries to collect and in- taped during and at the end of the conference, p- grate evidence from various disciplines such as p- vides the reader with the possibility to reflect upon losophy of science, neuroscience, computational the different approaches and thus contributes to b- approaches, psychology, semiotics, evolutionary ter and more integrative understanding of their biology, social psychology etc. , to foster a new thoughts and ideas. understanding of representation. The subjective experience of an outside world This book has a truly interdisciplinary character. It seems to suggest a mapping process where environ- is presented in a form that is readily accessible to mental entities are projected into our mind via some professionals and students alike across the cognitive kind of transmission. While a profound critique of sciences such as neuroscience, computer science, this idea is nearly as old as philosophy, it has gained philosophy, psychology, and sociology.

Our thoughts are meaningful. We think about things in the outside world; how can that be so? This is one of the deepest questions in contemporary philosophy. Ever since the 'cognitive revolution', states with meaning-mental representations-have been the key explanatory construct of the cognitive sciences. But there is still no widely accepted theory of how mental representations get their meaning. Powerful new methods in cognitive neuroscience can now reveal information processing in the brain in unprecedented detail. They show how the brain performs complex calculations on neural representations. Drawing on this cutting-edge research, Nicholas Shea uses a series of case studies from the cognitive sciences to develop a naturalistic account of the nature of mental representation. His approach is distinctive in focusing firmly on the 'subpersonal' representations that pervade so much of cognitive science. The diversity and depth of the case studies, illustrated by numerous figures, make this book unlike any previous treatment. It is important reading for philosophers of psychology and philosophers of mind, and of considerable interest to researchers throughout the cognitive sciences.

Representation and Understanding

Teleosemantics seeks to explain meaning and other intentional phenomena in terms of their function in the life of the species. This volume of new essays from an impressive line-up of well-known contributors offers a valuable summary of the current state of the teleosemantics debate.

The purpose of the book is to advance in the understanding of brain function by defining a general framework for representation based on category theory. The idea is to bring this mathematical formalism into the domain of neural representation of physical spaces, setting the basis for a theory of mental representation, able to relate empirical findings, uniting them into a sound theoretical corpus. The innovative approach presented in the book provides a horizon of interdisciplinary collaboration that aims to set up a common agenda that synthesizes mathematical formalization and empirical procedures in a systemic way. Category theory has been successfully applied to qualitative analysis, mainly in theoretical computer science to deal with programming language semantics. Nevertheless, the potential of category theoretic tools for quantitative analysis of networks has not been tackled so far. Statistical methods to investigate graph structure typically rely on network parameters. Category theory can be seen as an abstraction of graph theory. Thus, new categorical properties can be added into network analysis and graph theoretic constructs can be accordingly extended in more fundamental basis. By generalizing networks using category theory we can address questions and elaborate answers in a more fundamental way without waiving graph theoretic tools. The vital issue is to establish a new framework for quantitative analysis of networks using the theory of categories, in which computational neuroscientists and network theorists may tackle in more efficient ways the dynamics of brain cognitive networks. The intended audience of the book is researchers who wish to explore the validity of mathematical principles in the understanding of cognitive systems. All the actors in cognitive science: philosophers, engineers, neurobiologists, cognitive psychologists, computer scientists etc. are akin to discover along its pages new unforeseen connections through the development of concepts and formal theories described in the book. Practitioners of both pure and applied mathematics e.g., network theorists, will be delighted with the mapping of abstract mathematical concepts in the terra incognita of cognition.

Verbs play an important role in how events, states and other “happenings” are mentally represented and how they are expressed in natural language. Besides their central role in linguistics, verbs have long been prominent topics of research in analytic philosophy—mostly on the nature of events and predicate-argument structure—and a topic of empirical investigation in psycholinguistics, mostly on argument structure and its role in sentence comprehension. More recently, the representation of verb meaning has been gaining momentum as a topic of research in other cognitive science branches, notably neuroscience and the psychology of concepts. The present volume is an expression of this recent surge in the investigation of verb structure and meaning from the interdisciplinary perspective of cognitive science, with up-to-date contributions by theoretical linguists, philosophers, psycholinguists and neuroscientists. The volume presents new theoretical and empirical studies on how verb structure and verb meaning are represented, how they are processed during language comprehension, how they are acquired, and how they are neurologically implemented. Cognitive Science Perspectives on Verb Representation and Processing is a reflection of the recent collaboration between the disciplines that constitute cognitive science, bringing new empirical data and theoretical insights on a key element of natural language and conceptualization.