Expert systems and fuzzy systems
Expert systems and fuzzy systems
Introduction to artificial intelligence
Introduction to artificial intelligence
The computer modelling of mathematical reasoning
The computer modelling of mathematical reasoning
Searching with probabilities
Heuristic reasoning about uncertainty: an artificial intelligence approach
Heuristic reasoning about uncertainty: an artificial intelligence approach
Conceptual structures: information processing in mind and machine
Conceptual structures: information processing in mind and machine
Machine learning an artificial intelligence approach volume II
Machine learning an artificial intelligence approach volume II
Artificial intelligence
Artificial intelligence (2nd ed.)
Artificial intelligence (2nd ed.)
Fuzzy set theory—and its applications (3rd ed.)
Fuzzy set theory—and its applications (3rd ed.)
Artificial Intelligence
Recursive Universe: Cosmic Consequences and the Limits of Scientific Knowledge
Recursive Universe: Cosmic Consequences and the Limits of Scientific Knowledge
Metamagical Themas: Questing for the Essence of Mind and Pattern
Metamagical Themas: Questing for the Essence of Mind and Pattern
Applications in Artificial Intelligence
Applications in Artificial Intelligence
Minds and Mechanisms: Philosophical Psychology and Computational Models
Minds and Mechanisms: Philosophical Psychology and Computational Models
Machines Who Think
Computer Power and Human Reason: From Judgment to Calculation
Computer Power and Human Reason: From Judgment to Calculation
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Artificial Intelligence (AI) is experiencing a resurgence of popularity as expert systems show commercial success. This tutorial will be an overview of AI theories, concepts and techniques. The major areas of problem solving and knowledge representation will be discussed. Emphasis will be placed on rule-based systems. While the majority of the time will be spent on topics dealing with the current state of AI, a portion of time will be devoted to potential interaction between AI and Simulation in such areas as Decision Support Systems, modelling uncertainty, etc.Attendees will be encouraged to participate in discussions and suggest possible approaches to problem solving issues. Each attendee will receive a set of readings on the topics discussed along with a copy of the viewgraphs used in the tutorial. The notes also include a selected bibliography on artificial intelligence and descriptions of several successful systems.