This series will include monographs and collections of studies devoted to the investigation and exploration of knowledge, information, and data processing systems of all kinds, no matter whether human, (other) animal, or machine. Its scope is intended to span the full range of interests from classical problems in the philosophy of mind and philosophical psychol ogy through issues in cognitive psychology and sociobiology (concerning the mental capabilities of other species) to ideas related to artificial intelligence and computer science. While primary emphasis will be placed upon theoretical, conceptual, and epistemological aspects of these problems and domains, empirical, experimental, and methodological studies will also appear from time to time. The problems posed by metaphor and analogy are among the most challenging that confront the field of knowledge representation. In this study, Eileen Way has drawn upon the combined resources of philosophy, psychology, and computer science in developing a systematic and illuminating theoretical framework for understanding metaphors and analogies. While her work provides solutions to difficult problems of knowledge representation, it goes much further by investigating some of the most important philosophical assumptions that prevail within artificial intelligence today. By exposing the limitations inherent in the assumption that languages are both literal and truth-functional, she has advanced our grasp of the nature of language itself. J.R.F.

This special issue arose out of a symposium on metaphor and artificial intelligence in which the main orientation was computational models and psychological processing models of metaphorical understanding. The papers in this issue discuss: *implemented computational systems for handling different aspects of metaphor understanding; *how metaphor can be accommodated in accepted logical representational frameworks; *psychological processes involved in metaphor understanding; and *the cross-linguistic cognitive reality of conceptual metaphors.

This is an analysis of the philosophical assumptions and implications of current artificial intelligence (AI) representation schemes, particularly those dealing with the underlying cognitive processes of language. The work attacks the traditional, logic-based view of language and knowledge representation and argues that cognitive mechanisms provide a better model for structuring knowledge that that of first-order logic. The author explains her dynamic type hierarchy theory, a new approach to metaphor, language and knowledge representation.

Many metaphors go beyond pionting to the existing similarities between two objects -- they create the similarities. Such metaphors, which have been relegated to the back seat in most of the cognitive science research, are the focus of attention in this study, which addresses the creation of similarity within an elaborately laid out interactive framework of cognition. Starting from the constructivist views of Nelson Goodman and Jean Piaget, this framework resolves an apparent paradox in interactionism: how can reality not have a mind-independent ontology and structure, but still manage to constrain the possible worlds a cognitive agent can create in it? A comprehensive theory of metaphor is proposed in this framework that explains how metaphors can create similarities, and why such metaphors are an invaluable asset to cognition. The framework is then applied to related issues of analogical reasoning, induction, and computational modeling of creative metaphors.

The literary imagination may take flight on the wings of metaphor, but hard-headed scientists are just as likely as doe-eyed poets to reach for a metaphor when the descriptive need arises. Metaphor is a pervasive aspect of every genre of text and every register of speech, and is as useful for describing the inner workings of a "black hole" (itself a metaphor) as it is the affairs of the human heart. The ubiquity of metaphor in natural language thus poses a significant challenge for Natural Language Processing (NLP) systems and their builders, who cannot afford to wait until the problems of literal language have been solved before turning their attention to figurative phenomena. This book offers a comprehensive approach to the computational treatment of metaphor and its figurative brethren—including simile, analogy, and conceptual blending—that does not shy away from their important cognitive and philosophical dimensions. Veale, Shutova, and Beigman Klebanov approach metaphor from multiple computational perspectives, providing coverage of both symbolic and statistical approaches to interpretation and paraphrase generation, while also considering key contributions from philosophy on what constitutes the "meaning" of a metaphor. This book also surveys available metaphor corpora and discusses protocols for metaphor annotation. Any reader with an interest in metaphor, from beginning researchers to seasoned scholars, will find this book to be an invaluable guide to what is a fascinating linguistic phenomenon.

This book describes methods, risks, and challenges involved in the construction of metaphor and metonymy digital repositories. The first part of this volume showcases established and new projects around the world in which metaphors and metonymies are harvested and classified. The second part provides a series of cognitive linguistic studies focused on highlighting and discussing theoretical and methodological risks and challenges involved in building these digital resources. The volume is a result of an interdisciplinary collaboration between cognitive linguists, psychologists, and computational scientists supporting an overarching idea that metaphor and metonymy play a central role in human cognition, and that they are deeply entrenched in recurring patterns of bodily experience. Throughout the volume, a variety of methods are proposed to collect and analyze both conceptual metaphors and metonymies and their linguistic and visual expressions.

The book constitutes the refereed proceedings of the 11th International Conference on Conceptual Structures, ICCS 2003, held in Dresden, Germany in July 2003. The 23 revised full papers presented together with 5 invited papers were carefully reviewed and selected for presentation. The papers are organized in topical sections on the many facets of conceptual structures, logical and linguistic aspects, conceptual representation of time and space, deepening the formal theory and applications of conceptual structures.

The aim of the present bibliography is to provide the student of metaphor with an up-to-date and comprehensive (albeit not exhaustive) overview of recent publications dealing with various aspects of metaphor in a variety of disciplines. Where the emphasis is primarily on specific works “about” metaphor, mainly in philosophy, linguistics, and psychology, the list has been supplemented with references to studies where metaphor is explicitly recognized as an instrument of research or analysis (e.g., in literature, or in the elaboration of scientific and religious models) or where its use is illustrated.