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This book highlights cutting-edge research relevant to the building of a computational model of reading comprehension, as in the processing and understanding of a natural language text or story. The book takes an interdisciplinary approach to the study of reading, with contributions from computer science, psychology, and philosophy. Contributors cover the theoretical and psychological foundations of the research in discussions of what it means to understand a text, how one builds a computational model, and related issues in knowledge representation and reasoning. The book also addresses some of the broader issues that a natural language system must deal with, such as reading in context, linguistic novelty, and information extraction.
First published in 1986. The chapters in this collection are based on presentations made at the First Annual Workshop on Theoretical Issues in Conceptual Information Processing (TICIP) grew out of that. It was held in Atlanta, Georgia in March 1984 and included 50 people with roughly the same world view. In particular, the contributors were interested in content-based theories of conceptual information processing. Each chapter addresses some issue associated with the relationships between memory, experience and reasoning.
The 1987 landmark publications by G. Lakoff and M. Johnson made image schema one of the cornerstone concepts of the emerging experientialist paradigm of Cognitive Linguistics, a framework founded upon the rejection of the mind-body dichotomy and stressing the fundamentally embodied nature of meaning, imagination and reason - hence language. Conceived of as the pre-linguistic, dynamic and highly schematic gestalts arising directly from motor movement, object manipulation, and perceptual interaction, image schemas served to anchor abstract reasoning and imagination to sensori-motor patterns in the conceptual theory of metaphor. Being itself informed by preceding crosslinguistic work on semanti...
AAAI proceedings describe innovative concepts, techniques, perspectives, and observations that present promising research directions in artificial intelligence.Topics include: The principles underlying cognition, perception, and action in humans' and machines. The design, application, and evaluation of AI algorithms and intelligent systems. The analysis of tasks and domains in which intelligent systems perform.
Aus dem Inhalt Abschied von Christa Pieske Maria Goldoni Die Familie Panini: Der internationale Erfolg der Sticker aus Modena und die Gründung eines Sammelbildermuseums Maria Goldoni Die Druckerfamilien Modenas und die Entstehung der druckhistorischen Sammlungen Soliani/Barelli/Mucchi Elisabetta Gulli Grigioni und Wolfgang Brückner Schutzblattamulette (Breverln) in Mitteleuropa im 18. und 19. Jahrhundert Detlef Lorenz Goldfüchse für schöne Sachen: Über die soziale Struktur der frühen Liebigbildersammler Alberto Milano Wunderbare Lichteffekte mit Papier - Tag- und Nachtbilder in den Guckkasten gezaubert Norbert Neumann Ein Augenzwinkern der Thalia. Papiertheater - vom Krippen bogen in ...
By presenting state-of-the-art results in logical reasoning and formal methods in the context of artificial intelligence and AI applications, this book commemorates the 60th birthday of Jörg H. Siekmann. The 30 revised reviewed papers are written by former and current students and colleagues of Jörg Siekmann; also included is an appraisal of the scientific career of Jörg Siekmann entitled "A Portrait of a Scientist: Logics, AI, and Politics." The papers are organized in four parts on logic and deduction, applications of logic, formal methods and security, and agents and planning.
Semantic interpretation and the resolution of ambiguity presents an important advance in computer understanding of natural language. While parsing techniques have been greatly improved in recent years, the approach to semantics has generally improved in recent years, the approach to semantics has generally been ad hoc and had little theoretical basis. Graeme Hirst offers a new, theoretically motivated foundation for conceptual analysis by computer, and shows how this framework facilitates the resolution of lexical and syntactic ambiguities. His approach is interdisciplinary, drawing on research in computational linguistics, artificial intelligence, montague semantics, and cognitive psychology.
Although difficult, change in academic structures is necessary today, especially in fast-changing fields today such as biology, computing, management, the social sciences, and others. This includes changes within existing organizations as well as creation of new structures and reorganizations or eliminations of older ones. This narrative attempts first to document the historical rise of an organization, Georgia Tech’s College of Computing, that has touched and successfully changed the lives of thousands of people. Second, it aims to identify and explicate some of what has led to this widely acknowledged success. The book provides a chronological narrative that highlights major changes take...
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In this groundbreaking new volume, computer researchers discuss the development of technologies and specific systems that can interpret data with respect to domain knowledge. Although the chapters each illuminate different aspects of image interpretation, all utilize a common approach - one that asserts such interpretation must involve perceptual learning in terms of automated knowledge acquisition and application, as well as feedback and consistency checks between encoding, feature extraction, and the known knowledge structures in a given application domain. The text is profusely illustrated with numerous figures and tables to reinforce the concepts discussed.