Distributed Artificial Intelligence
Papers from the Thirteenth International Workshop
Mark Klein, Workshop Chair
July 17-29, Lake Quinalt, Washington
Distributed artificial intelligence (DAI) is concerned with the cooperative solution of problems in multi-agent intelligent systems with both computational and human agents. The central problem in DAI is how to achieve coordinated action among such agents, so that they can accomplish more as a group than individually.
The DAI workshop was dedicated to advancing the state of the art in this field. For over a decade now the workshop has gathered a relatively small group of active researchers for intensive discussions on the state of the art as well as fruitful directions for future exploration.
A wide range of research communities throughout the world are now addressing issues related to DAI. This include work on CKBS (cooperating knowledge-based systems), CSCW (computer-supported cooperative work), ICIS (intelligent cooperating information systems), GDSS (group decision support systems), CE (concurrent engineering), organizational sciences, social psychology, business process management, anthropology and so on. There is also increasing recognition of the need for collaboration support technology in many settings, as evidenced for example by the large international Intelligent Manufacturing System (IMS) Program which envisages future manufacturing facilities based on globally distributed autonomous and intelligent systems. Such potential application areas pose great challenges for DAI.
The goal of the 1994 DAI workshop was "making connections": trying to better understand the connections between DAI and related fields as well as real-world problems.