Artificial Intelligence: Philosophy: Research Centers

A facility for research into cognitive science and related philosophical areas

An interdisciplinary research center headed by Douglas Hofstadter

Includes several listings of topic and research areas, and includes general CS program, undergrad and graduate, information.

Computer modeling of intelligent behavior, including but not limited to modeling the human mind. Topic is viewed as an interdisciplinary field where computer science intersects with philosophy, psychology, linguistics, engineering, and other fields.

Research Center pursuing such issues as knowledge-acquisition, learning, representation, formal and computational studies in computational logic and artificial intelligence.

Department of Intelligent Systems, research areas include, but are not limited to: machine learning, knowledge-based systems, qualitative modeling, decision making, logic programming, natural language processing, and cognitive science.

Undergraduate, Graduate, and Research Programs offered in many areas of AI and multi-disciplinary combinations, from a program which traces its roots back to 1963.

Founded in 1966, the center's objectives are to understand the computational principles underlying intelligence in man and machines and to develop methods for building computer-based systems to solve problems, to communicate with people, and to perceive and interact with the physical world.

Research focus on basic questions in artificial intelligence including search, knowledge representation, and reasoning. Emphasis is on planning, constraint satisfaction, and common sense reasoning.

Center for multi - disciplinary research and teaching in the fields of Artificial Intelligence, Computer Science, Linguistics, Philosophy and Psychology.

University of Massachusetts, Amherst. Research is done on a wide range of topics including those in AI. Topic and research group listing.

Active faculty research projects, research achievements, graduate school information and other topic areas.

At ÖFAI basic and applied research is performed in several areas of AI, most notably: Natural Language Processing, Neural Networks (Connectionism), Machine Learning and Data Mining, Knowledge-Based Systems, Constraint Logic Programming, Intelligent Software Agents and New Media, AI and Society

University of Washington, includes research topics, areas of study, faculty, student, and alumni listings.

IRIDIA, Université Libre de Bruxelles. Projects funded by the European Union. Many current projects listed, including: Metaheuristics, Hybrid belief systems, and uncertain reasoning.

Education in computer music, data mining, machine learning, vision, and speech with a list of research topics.