Title :
Intelligent hybrid multi-agent computational architecture for complex systems
Author_Institution :
Sch. of Comput. Sci. & Comput. Eng., La Trobe Univ., Bundoora, Vic., Australia
Abstract :
Intelligent Multi-Agent Hybrid Distributed Architecture (IMAHDA) for complex systems has been defined at the task structure level and the computational level. IHMADA has been built around five information processing phases. The five phases represent a deliberate as well as automated or reflexive reasoning structure. This paper outlines some aspects of the computational level of IMAHDA. The computational level is derived from four layers, namely, object layer, software agent layer, intelligent agent layer, and problem solving agent layer. Agent description in terms of percepts, goals, actions, and environment for some of the problem solving agents is also outlined. IMAHDA has been applied in engineering (real time systems) and management areas
Keywords :
cooperative systems; knowledge representation; large-scale systems; problem solving; software agents; temporal reasoning; actions; complex systems; deliberate reasoning; explanation; goals; information processing phases; intelligent agent layer; intelligent hybrid multi-agent computational architecture; knowledge representation; knowledge sharing; learning; management; neurobiological considerations; object layer; percepts; problem solving agent layer; problem solving agents; real time systems; reflexive reasoning structure; software agent layer; task structure; temporal reasoning; Computational intelligence; Computer architecture; Distributed computing; Information processing; Intelligent agent; Intelligent structures; Problem-solving; Real time systems; Software agents; Systems engineering and theory;
Conference_Titel :
Systems, Man, and Cybernetics, 1997. Computational Cybernetics and Simulation., 1997 IEEE International Conference on
Conference_Location :
Orlando, FL
Print_ISBN :
0-7803-4053-1
DOI :
10.1109/ICSMC.1997.637560