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.

"In Chess Metaphors, Diego Rasskin-Gutman explores fundamental questions about memory, thought, emotion, consciousness, and other cognitive processes through the game of chess, using the moves of thirty-two pieces over sixty-four squares to map the structural and functional organization of the brain." --Book Jacket.

In this provocative essay, Alexander E. Silverman explores the relationship between artificial intelligence (AI) and the law from the point of view of the legal theorist. Beginning with an overview of AI technology, he provides the necessary background review of classical, connectionist, fuzzy, and interactionist approaches to AI, as well as of legal expert systems. He then applies the lessons from this research to a number of jurisprudential topics, including the concepts of indeterminacy, open texture, and essential vagueness; Kuhnian paradigm shifts and the nature of theory; and the production of new metaphors of law. He concludes with a discussion of the lessons of AI research for our understanding of human legal reasoning. Mind, Machine, and Metaphor is a rich, original, and wide-ranging view of legal theory in the context of AI research. It is essential reading for legal theorists and for legal scholars and students of AI with an interest in each other's fields.

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.

After a long time of neglect, Artificial Intelligence is once again at the center of most of our political, economic, and socio-cultural debates. Recent advances in the field of Artifical Neural Networks have led to a renaissance of dystopian and utopian speculations on an AI-rendered future. Algorithmic technologies are deployed for identifying potential terrorists through vast surveillance networks, for producing sentencing guidelines and recidivism risk profiles in criminal justice systems, for demographic and psychographic targeting of bodies for advertising or propaganda, and more generally for automating the analysis of language, text, and images. Against this background, the aim of this book is to discuss the heterogenous conditions, implications, and effects of modern AI and Internet technologies in terms of their political dimension: What does it mean to critically investigate efforts of net politics in the age of machine learning algorithms?

A strikingly original exploration of what it might mean to be authentically human in the age of artificial intelligence, from the author of the critically-acclaimed Interior States. • "At times personal, at times philosophical, with a bracing mixture of openness and skepticism, it speaks thoughtfully and articulately to the most crucial issues awaiting our future." —Phillip Lopate “[A] truly fantastic book.”—Ezra Klein For most of human history the world was a magical and enchanted place ruled by forces beyond our understanding. The rise of science and Descartes's division of mind from world made materialism our ruling paradigm, in the process asking whether our own consciousness—i.e., souls—might be illusions. Now the inexorable rise of technology, with artificial intelligences that surpass our comprehension and control, and the spread of digital metaphors for self-understanding, the core questions of existence—identity, knowledge, the very nature and purpose of life itself—urgently require rethinking. Meghan O'Gieblyn tackles this challenge with philosophical rigor, intellectual reach, essayistic verve, refreshing originality, and an ironic sense of contradiction. She draws deeply and sometimes humorously from her own personal experience as a formerly religious believer still haunted by questions of faith, and she serves as the best possible guide to navigating the territory we are all entering.

The first modern translation of the complete texts of La Mettrie's pioneering L'Homme machine and L'Homme plante, first published in 1747 and 1748, respectively, this volume also includes translations of the advertisement and dedication to L'Homme machine. Justin Leiber's introduction illuminates the radical thinking and advocacy of the passionate La Mettrie and provides cogent analysis of La Mettrie's relationship to such important philosophical figures as Descartes, Malebranche, and Locke, and of his lasting influence on the development of materialism, cognitive studies, linguistics, and other areas of intellectual inquiry.

This book deals with various aspects of metaphorics and yet it is not only, or perhaps not even primarily, about metaphor itself. Rather it is concerned with the argument from metaphor. In other words, it is about what I think we can learn from metaphor and the possible consequences of this lesson for a more adequate understanding, for instance, of our mental processes, the possibilities and limitations of our reasoning, the strictures of propositionality, the cognitive effect of fictional projections and so on. In this sense it is not, strictly speaking, a contribution to metaphorology; instead, it is an attempt to define the place of metaphor in the world of overall human intellectual activity, exemplary thematized here in the span that ranges from problems relating to the articulation of meanings up to general issues of creativity. Most of the aspects discussed, therefore, are examined not so much for the sake of gaining some new knowledge about metaphor (work conducted in the »science of metaphor« is presently so huge that an extra attempt to spell out another theory of metaphor may have an infiatory effect); the basic strategy of this book is to view metaphor within the complex of language usage and language competence, in human thought and action, and, finally, to see in what philosophically relevant way it improves our knowledge of ourselves. Certainly, by adopting this basic strategy we also simultaneously increase our knowledge of metaphors, of their functions and importance.

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.