CMSC 671 Fall 2001The Breadth of AI: A Lecture on DiversityWhat is AI?What do AI people do?Other topics/paradigmsMachine TranslationStatistical NLPIntelligent Tutoring SystemsXML/Semantic Web1CMSC 671CMSC 671Fall 2001Fall 2001Class #15 –Tuesday, October 232The Breadth of AI:The Breadth of AI:A Lecture on A Lecture on DiversityDiversity3What is AI?•Intensional definitions: describe the end goals and objectives of the discipline–Searle, McCarthy, Ginsberg, etc. – definitions from HW #1•Extensional definition: define the field as “what people who say they’re doing AI do”4What do AI people do?•Subject headings from IJCAI-01 conference proceedings:–Knowledge Representation and Reasoning–Search, Satisfiability, and Constraint Satisfaction–Cognitive Modeling–Planning–Games–Diagnosis–Logic Programming and Theorem Proving–Uncertainty and Probabilistic Reasoning–Neural Networks and Genetic Algorithms–Machine Learning and Data Mining–Case-Based Reasoning–Multi-Agent Systems–Natural Language Processing and Information Retrieval–Robotics and Perception–Web Applications5Other topics/paradigms•Intelligent Tutoring Systems•Agent Architectures•Mixed-Initiative Systems•Embedded Systems / Mobile Autonomous Agent•Machine Learning–Reinforcement learning–Collaborative learning, inductive transfer, lifelong learning•Uncertainty–POMDPs, temporal BNs, dynamic/object-oriented BNs•Object-Oriented Software Engineering•AI and Art6Machine Translation7Statistical NLP8Intelligent Tutoring Systems9XML/Semantic
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