A KNOWLEDGE INTENSIVE MULTI-AGENT SYSTEM FOR COOPERATIVE/COLLABORATIVE ASSEMBLY MODELING AND PROCESS PLANNING

Abstract

An intensive knowledge engineering system is a large-scale knowledge framework that allows modeling and processing various types, different levels and multiple functionalities of knowledge in a process. This paper develops a knowledge intensive multi-agent system for cooperative/collaborative assembly modeling and process planning in a distributed design environment. In this paper, an AI protocol based knowledge intensive methodology is first developed for distributed collaborative design in facilitating concurrent integration and cooperation/collaboration of intelligent design agents. Then, a unified class of knowledge intensive Petri nets is defined using an O-O knowledge-based Petri net approach and used as an AI protocol for knowledge objects cooperation formalisms. Detailed cooperative/collaborative mechanisms and algorithms for handling integration and negotiation problems among intelligent agents are provided based on the knowledge objects cooperation formalisms. A research prototype system is implemented under the knowledge-intensive multi-agent framework with concurrent integration of multiple cooperative knowledge sources and software tools/packages. Thus, assembly-oriented design could be carried out simultaneously and intelligently in a distributed & integrated collaborative environment (DICE).