Prof. Keith Decker
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Academic Career Length
40Years (1987-Present)
(Calculated once Scilit publication data is synced: current year − year of first publication + 1)
Representative Publications
View All Publications1 September 1987 in IEEE Transactions on Systems, Man, and Cybernetics
Journal Article
Keith DeckerDistributed problem solving is a subfield of artificial intelligence that deals with the interactions of groups of intelligent agents attempting to cooperate to solve problems. Distributed problem solving is distinct from both distributed processing and artificial intelligence, though it has important implications for both. A taxonomy of distributed artificial intelligence systems is presented, based on the communication and control methodologies used by their constituent agents, along with the theoretical foundations which underly them, such as Davis and Smith's contract net. Control in distributed problem solvers is characterized by cooperation, organization, and dynamics. Communications are specified through paradigms, content, and protocols. Several prototypical systems in areas such as natural language processing and medical diagnosis are briefly discussed, along with more mature systems in applications such as air traffic control, vehicle monitoring, and manufacturing systems.
1 July 2004 in Autonomous Agents and Multi-Agent Systems
Journal Article
VLV. Lesser
V. LesserKeith DeckerTWT. Wagner
T. WagnerNCN. Carver
N. CarverAGA. Garvey
A. GarveyXZX. Q. Zhang
X. Q. Zhang +7
1 January 1997
Conference Paper
Keith DeckerAPAnandeep Pannu
Anandeep Pannu
KSKatia Sycara
Katia Sycara
MWMike Williamson
Mike Williamson
1 January 1989
Book Chapter
28 May 2001
Conference Paper
1 January 1997
Book Chapter
About Me
Keith Decker is an Associate Professor and JPMorgan Chase Fellow in the Department of Computer and Information Sciences, College of Engineering, at the University of Delaware. He is also affiliated faculty at the Delaware Biotechnology Institute and the Institute for Financial Service Analytics. His research interests include multi-agent systems, computational organization design, distributed planning and scheduling, multi-agent learning, and bioinformatics. He received his BS in applied math from Carnegie Mellon University, his MS in computer science from Rensselaer Polytechnic Institute, and his Ph.D. in computer science from the University of Massachusetts. He is the recipient of a DARPA special recognition and has published over 60 papers in journals and highly competitive conferences. Decker has been program co-chair for the International Conference on Autonomous Agents and Multi-Agent Systems, Practical Applications of Autonomous and Multi-agent Systems, and numerous related AI workshops.