Proceedings, Volumes 1-2IEEE, 1996 - Artificial intelligence |
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Page 138
... agent constructs its own local schedule without dense communication among the other schedul- ing agents and resolves the conflicts in agents ' schedule through negotiation after every agent builds its schedule . 2.3 Why Repair - Based ...
... agent constructs its own local schedule without dense communication among the other schedul- ing agents and resolves the conflicts in agents ' schedule through negotiation after every agent builds its schedule . 2.3 Why Repair - Based ...
Page 288
... agent system , it is important to selectively share learning results in order to speed up learning without homogenizing the agents ' behaviors . This paper describes a new method designed to permit multiple agents in an environment to ...
... agent system , it is important to selectively share learning results in order to speed up learning without homogenizing the agents ' behaviors . This paper describes a new method designed to permit multiple agents in an environment to ...
Page 290
... agent does not execute the action in the Step where it observes and mimics the behavior of other agents . 2.3 Spontaneous Mimetism The approach to Spontaneous Mimetism [ 11 ] proposed in this paper supposes that each agent imitates ...
... agent does not execute the action in the Step where it observes and mimics the behavior of other agents . 2.3 Spontaneous Mimetism The approach to Spontaneous Mimetism [ 11 ] proposed in this paper supposes that each agent imitates ...
Contents
Intelligent HumanMachine Systems in a Modern Communication Infrastructure | 1 |
SESSION TU4AScheduling | 16 |
Rescheduling Method based on Distributed Cooperative Problem Solving Model | 35 |
Copyright | |
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agents algorithm application approach assignment Automated Manufacturing Systems Automation behavior buffer component Computer configuration considered constraints control system cost data link layer deadlines deadlock defined device under test distributed due dates dynamic environment evaluation evolutionary algorithm example execution feature fieldbus Figure flexible frequency function Genetic Algorithm global heuristic holarchy holons IEEE implementation input integration intelligent interaction learning logical controller machine macroaction manipulator Manufacturing Systems messages method Mimetism model checking monitoring nodes object optimal output paper parameters performance Petri net Petri nets phase PID control placement planning plant priority inversion problem processor Profibus proposed protocol real-time resource robot robot cell scheduling semaphore sensor sequence server shown signal simulation solution solve specific stage station structure supervisor task techniques telerobotic Theorem tion token torque transition vector vibration