Castel Ivano, originally built in 1375, is one of many beautiful and impressive castles strategically placed atop hills in Trentino's Valsugana in Northern Italy. It was in this castle on a series of brilliant sunny crisp November days in 1990 that an international group of computer scientists and cognitive scientists met at a workshop to discuss theoretical and applied issues concerning communi cation from an Artificial Intelligence and Cognitive Science perspective. About forty people, representing nine countries, participated in the workshop, either as speakers, discussants, or observers. The main motivationfor the workshop wasto address the questionofwhether and how current computational approaches to communication can or might be able to accommodate the range of complexities that characterize both human human and human-machine communication. The chapters in this book are based on the papers that were presented at the workshop. They are presented in an order that is determined primarily by the specificity of the topics they address. The initial chapters are more theoretical in nature with an emphasis on formal approaches to communication. The middle chapters focus on particular application issues, such as the generation ofmultimedia documents and the role of planning in building systems to support human-human or human-machine interaction. The final few chapters consider more general issues relating to com munication, such as the influence ofsocial structure on, and the role of affect in communication."

For the past forty years, the ideas and findings of George Mandler -- and George Mandler himself -- have been highly influential throughout the field of experimental psychology. Not only has he helped to advance the study of cognition and emotion in many ways, but he also offered assistance and encouragement to numerous young researchers who may expand on the knowledge acquired thus far. The editors of this festschrift feel that one of the greatest strengths of Mandler's work is the blend of European theorizing and American empiricism. This volume contains contributions from friends and colleagues who have been influenced in one way or another by this accomplished psychologist.

For the past forty years, the ideas and findings of George Mandler -- and George Mandler himself -- have been highly influential throughout the field of experimental psychology. Not only has he helped to advance the study of cognition and emotion in many ways, but he also offered assistance and encouragement to numerous young researchers who may expand on the knowledge acquired thus far. The editors of this festschrift feel that one of the greatest strengths of Mandler's work is the blend of European theorizing and American empiricism. This volume contains contributions from friends and colleagues who have been influenced in one way or another by this accomplished psychologist.

Castel Ivano, originally built in 1375, is one of many beautiful and impressive castles strategically placed atop hills in Trentino's Valsugana in Northern Italy. It was in this castle on a series of brilliant sunny crisp November days in 1990 that an international group of computer scientists and cognitive scientists met at a workshop to discuss theoretical and applied issues concerning communi cation from an Artificial Intelligence and Cognitive Science perspective. About forty people, representing nine countries, participated in the workshop, either as speakers, discussants, or observers. The main motivationfor the workshop wasto address the questionofwhether and how current computational approaches to communication can or might be able to accommodate the range of complexities that characterize both human human and human-machine communication. The chapters in this book are based on the papers that were presented at the workshop. They are presented in an order that is determined primarily by the specificity of the topics they address. The initial chapters are more theoretical in nature with an emphasis on formal approaches to communication. The middle chapters focus on particular application issues, such as the generation ofmultimedia documents and the role of planning in building systems to support human-human or human-machine interaction. The final few chapters consider more general issues relating to com munication, such as the influence ofsocial structure on, and the role of affect in communication."

More than 30 years after its initial publication, this new edition of The Cognitive Structure of Emotions refines and updates Ortony, Clore, and Collins's OCC model of emotions. Starting from a three-way classification of construals of the world--events, the attribution of responsibility for events, and objects--the authors propose a systematic account of emotion differentiation. Rejecting the oft-favored features of bodily feelings, emotion-related behaviors, and facial expressions as too intensity-dependent and insufficiently diagnostic, they provide a detailed analysis of emotion differentiation in terms of the cognitive underpinnings of emotion types. Using numerous examples, they explain how different variables influence emotion intensity, and show how emotions can be formalized for computational purposes. Now with a contributed chapter describing the OCC model's influence, this book will interest a wide audience in cognitive, clinical, and social psychology, as well as in artificial intelligence and affective computing, and other cognitive science disciplines.

More than 30 years after its initial publication, this new edition of The Cognitive Structure of Emotions refines and updates Ortony, Clore, and Collins's OCC model of emotions. Starting from a three-way classification of construals of the world--events, the attribution of responsibility for events, and objects--the authors propose a systematic account of emotion differentiation. Rejecting the oft-favored features of bodily feelings, emotion-related behaviors, and facial expressions as too intensity-dependent and insufficiently diagnostic, they provide a detailed analysis of emotion differentiation in terms of the cognitive underpinnings of emotion types. Using numerous examples, they explain how different variables influence emotion intensity, and show how emotions can be formalized for computational purposes. Now with a contributed chapter describing the OCC model's influence, this book will interest a wide audience in cognitive, clinical, and social psychology, as well as in artificial intelligence and affective computing, and other cognitive science disciplines.

Metaphor and Thought reflects the surge of interest in and research into the nature and function of metaphor in language and thought. Philosophers, psychologists, linguists, and educators raise serious questions about the viability of the traditional distinction between the literal and the metaphorical, discussing problems ranging from the definition of metaphor to its role in language acquistion, learning, scientific thinking, and the creation of social policy. In the second edition, the contributors have updated their original essays to reflect changes in their fields. The volume also includes six new chapters that present important and influential new ideas about metaphor that have appeared in such fields as the philosophy of language and the philosophy of science, linguistics, cognitive and clinical psychology, education, and artificial intelligence. The book will serve as an excellent graduate-level textbook in cognitive psychology, linguistics, and artificial intelligence.

Similarity and analogy are fundamental in human cognition. They are crucial for recognition and classification, and have been associated with scientific discovery and creativity. Any adequate understanding of similarity and analogy requires the integration of theory and data from diverse domains. This interdisciplinary volume explores current development in research and theory from psychological, computational, and educational perspectives, and considers their implications for learning and instruction. The distinguished contributors examine the psychological processes involved in reasoning by similarity and analogy, the computational problems encountered in simulating analogical processing in problem solving, and the conditions promoting the application of analogical reasoning in everyday situations.