Evaluating the CooperA experiment : the transition from an expert system module to a distributed A.I. testbed for co-operating expertsFunded under: JRC-EXPLORES 1C
The ideas of Distributed Artificial Intelligence are rapidly emerging in a series of application areas. In the frame of applied research on environmental protection and in particular management of chemical emergencies, an existing expert system has been transformed to a distributed knowledge based system. The development and testing environment used, called CooperA (Cooperating Agents), was purpose-built. During this experiment a number of theoretical ideas have been applied in a practical framework, resulting in a working prototype of the chemical emergencies management system. The CooperA system has been designed and developed as a software environment supporting the cooperation of heterogeneous distributed semi-autonomous knowledge based systems, presented to the user via a customised user interface. The prototype of the Chemical Emergency Management System produced, called Distributed ChEM (DChEM) contains a number of heterogeneous Expert Agents covering distinct areas of expertise which cooperatively establish the threat level of a particular chemical emergency. In this paper a description of the testbed and the application is followed by an evaluation of the transition process from a single expert system module to the CooperA/DChEM, and a description of how the various trends in D.A.I. have influenced this transition.
Bibliographic Reference: Paper presented: 9th Distributed Artificial Intelligence Workshop, Orcas Island, Washington (US), Sept. 12-14, 1989
Availability: Available from (1) as Paper EN 35044 ORA
Record Number: 198911224 / Last updated on: 1994-12-01
Original language: en
Available languages: en