University of Delaware - College of Engineering
COMPUTER & INFORMATION SCIENCES

Research


Core Research Area in Artificial Intelligence

Multi-agent systems, knowledge representation, computer vision, and intelligent tutoring systems are areas of research interest in the Department of Computer and Information Sciences at the University of Delaware. In addition, a Cognitive Science Program brings in well-known speakers from throughout North America and serves as a forum for joint research efforts with faculty from the departments of Educational Studies, Linguistics, and Psychology. Members of our AI group serve on the editorial boards of International Journal of Man-Machine Studies, Autonomous Agents and Multi-Agent Systems Journal, User Modeling and User-Adapted Interaction Journal, Machine-Mediated Learning, and Visible Language. In addition, they have served on the program committees for major conferences in artificial intelligence and multi-agent systems.

Multi-Agent Systems and Distributed Artificial Intelligence research deals with the issues that arise when groups or societies of autonomous agents (usually computer programs but sometimes people too) interact to solve problems. These agents may be self-interested, or cooperating to solve a shared problem. Important issues include reasoning about the knowledge and beliefs of other agents, communication and negotiation, and coordination and control. Furthermore, in many real-world problems agents have limited computational resources available to them, and so must forgo optimal solutions for satisfying solutions.

Knowledge representation, planning, problem-solving, and plan recognition are important components of intelligent systems, especially systems that must react to their environment or interact with other agents, and several researchers are pursuing work in these areas. In addition, the video modeling and synthesis lab is studying a number of major problems in computer vision and image processing, with an emphasis on the modeling of non-rigid body motion.

Learn about Artificial Intelligence Labs


Current Faculty

Sandra Carberry, Professor (joint appointment with Linguistics & Cognitive Science): Plan recognition; User modeling.

Ben Carterette, Assistant Professor: Information retrieval; Experimental design; Statistical methods; Scientific methodology.

Daniel Chester, Associate Professor (joint appointment with Linguistics & Cognitive Science): Knowledge representation; Knowledge-based systems; Neural networks; Vision.

Keith Decker, Associate Professor: Multi-agent systems; Distributed problem solving; Parallel and distributed planning and scheduling; Distributed information gathering; Bioinformatics; Computational organization design.

Chandra Kambhamettu, Professor: computer vision; Visualization; Computer graphics.

Kathleen McCoy, Professor (joint appointment with Linguistics & Cognitive Science): Rehabilitation engineering; Intelligent tutoring systems.

Vijay Shanker, Professor: Text mining; Information extraction; Machine learning.

Courses

CISC 681 Introduction to Artificial Intelligence
CISC 689 Machine Learning
CISC 888 Advanced Topics: Machine Learning
CISC 889 Advanced Topics: Intelligent Tutoring Systems
CISC 889 Advanced Topics: Internet Information Gathering
CISC 889 Advanced Topics: Multi-Agent Systems
CISC 889 Advanced Topics: Planning
CISC 889 Advanced Topics: Automatic Programming

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