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AI and Education. Automated Reasoning: automatic programming, planning and scheduling, rule-based reasoning, search, theorem proving, uncertainty, truth-maintenance systems, constraint-based systems. Cognitive Modeling. Commonsense Reasoning: qualitative reasoning, design, diagnosis, simulation. Impacts of AI Technology: organizational, economic, and social implications. Knowledge Acquisition and Expert System Design Methodologies: techniques for designing expert systems and acquiring domain knowledge. Knowledge Representation: knowledge-representation systems, inheritance, nonmonotonic logic, nonstandard logics, temporal reasoning. Machine Architectures and Computer Languages for AI. Machine Learning. Natural Language: generation and understanding; syntax, speech, dialogue. Perception and Signal Understanding: vision. Philosophical Foundations. Robotics. User Interfaces.[5] Christensen, P, Kofoed, J. and Larsen, N. PC-DYSIM - A program package for simulation of continuous dynamic processes: Usera#39;s manual Technical Report Riso- 1-342, Riso National Laboratory, DK-4000 Roskilde, Denmark, February, 1988 [6] Collins, J and ... C, Smith, B. aquot;STEAMER: Advanced computer- aided instruction in propulsion engineeringaquot;, BBN Technical report, July, 1981 Williams, anbsp;...

Author: American Association for Artificial Intelligence (AAAI)
Publisher:AAAI Press - 1990-07-27

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