13. 벼잎선충의 약제처리 방법별 방제 효과

The advances in information technology have made computer networks ubiquitous. The increasing uses of distributed processing and electronic meeting systems that involve multiple users necessitate the development of some new principles of information system design that consider the distributed, coordinated nature of group problem solving. This paper describes a framework for designing group problem-solving systems based on distributed artificial intelligence. Among the design issues, the authors find the coordination mechanisms and the learning schemes used to be of particular importance. An implementation example of a network of expert systems is used to illustrate the distributed artificial intelligence approach. >

Distributed artificial intelligence for multi-agent problem solving and group learning

Based on distributed artificial intelligence technology, this paper proposes a development tool for managing large distributed processing systems. This Cooperated Multi Agent Framework (CMAF) system is cornposited of a set of problem solving agents that autonomously execute and coordinately cooperate each other io employ the network management functions. The objectives of design are two major goals: one for problem solving paradigm, and the other for network management. To demonstrate its eflectness, a prototyping of the CMAF in the fault management is implemented and briefly described along with the results of preliminary experiments. It shows that the CMAF ogers advantages of performance, reliability, extensibility and the ability t o handle the incomplete data and knowledge. Furthermore, the versatile properties of reusability shell, transparency facility and adaptive knowledge bases an CMAF will be developed as tools for future large distributed application.

http://ieeexplore.ieee.org/iel3/5090/13882/00639820.pdf

H.W. Chang David

Papers

A Development Tool for Enterprise Management in Large Distributed Systems