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Published byMaría Roldán Palma Modified over 6 years ago
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Topics Covered in COSC 6368 More general topics:
heuristic search and search algorithm in general logical reasoning AI-specific Topics: resolution / theorem proving reasoning in uncertain environments and belief networks knowledge-based systems machine learning centering on inductive learning brief coverage of ontologies, evolutionary computing, AI in general
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AI in General and What Was not Covered in COSC 6368
Robotics is a quite important sub-field of AI, but very few teach it in the graduate AI class. Planning and natural language understanding deserve more coverage than they received in this class. Intelligent Agents and AI for the Internet might become more important changing what is taught in graduate AI-classes in a few years from now. Data Mining and Intelligent Data Understanding should perhaps be covered in more depth.
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Positive Forces for AI Knowledge Discovery in Data and Data Mining (KDD) Intelligent Agents for WWW Robotics (Robot Soccer, Intelligent Driving, Robot Waiters…) Creating of Knowledge Bases and Sharing of Knowledge (especially for Science and Engineering) Computer Chess and Computer Games --- AI for Entertainment
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Five “Laws” of AI Bounded rationality implies opportunistic search
A physical system symbol is necessary and sufficient for intelligent action (PSSH) The magic number is: / Search compensates for lack of knowledge Knowledge compensates for lack of search
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