Proceedings of the Seventh National Conference on Artificial Intelligence
AAAI-88
St. Paul, Minnesota
901 pp., (in two volumes), references, index, illus., $100.00 softcover, ISBN 978-0-262-51056-1
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The annual AAAI National Conference provides a forum for information exchange and interaction among researchers from all disciplines of AI. Contributions include theoretical, experimental, and empirical results. Topics cover AI and education, automated reasoning (automatic programming, constraints, planning, rule-based reasoning, search, theorem proving, truth maintenance systems, and uncertainty), cognitive modeling, common sense reasoning, (qualitative reasoning, design, and diagnosis), knowledge representation, (knowledge representation, inheritance, nonmonotonlc logic, nonstandard logics, and temporal reasoning), learning and knowledge acquisition (learning, analytic learning, empirical learning, formal results in learning, and knowledge acquisition), machine architectures and computer languages for AI, (architectures and languages for problem solving and production systems), natural language (syntax, speech, and dialogue), robotics, (robotics and integrated robotics), user interfaces, and vision.