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Introduction Artificial Intelligence

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Introduction to Artificial Intelligence, topics : Definitions, goals, approaches, techniques, and branches; Intelligent behavior, understanding AI, hard or strong AI, soft or weak AI, cognitive science. General, engineering and science based AI Goals. AI approaches -cognitive science, laws of thought, turing test, rational agent. AI Techniques that make system to behave as intelligent - describe and match, goal reduction, constraint satisfaction, tree searching, generate and test, rule based systems. Biology-inspired AI techniques - neural networks, genetic algorithms, reinforcement learning. Branches of AI -logical AI, search in AI, pattern recognition, knowledge representation, inferencing, common sense knowledge and reasoning, learning, planning, epistemology, ontology, heuristics, genetic programming. Applications of AI - game playing, speech recognition, understanding natural language, computer vision, expert systems.
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