Artificial Intelligence Research Page:
Overview
Artificial Intelligence (AI) is the study of heuristic algorithms
that solve "difficult" (e.g., NP) problems. AI algorithms are
characterized by the search that they perform of alternative
solutions, and the knowledge that they exploit (e.g., obtained from a
domain expert) to focus the search on promising solutions. The
performance of AI algorithms is often characterized by expected
(versus worst-case) time/space costs to find solutions, and by the
quality of discovered solutions relative to optimal solutions.
Topics
- Modelling of human cognitive processes including computational neuroscience. (Biswas, Fisher, Adams)
- Modelling, analysis, and diagnosis of complex systems. (Biswas, Adams)
- Intelligent learning environments. (Biswas)
- Knowledge discovery in databases. (Biswas, Fisher)
- Intelligent Manufacturing. (Biswas, Fisher, Adams)
- Machine Learning. (Biswas, Fisher)
- Distributed Artificial Intelligence. (Adams)
Faculty
Research Centers and Laboratories:
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