CNLS '89 Proceedings of the ninth annual international conference of the Center for Nonlinear Studies on Self-organizing, Collective, and Cooperative Phenomena in Natural and Artificial Computing Networks on Emergent computation
PLACA, an agent oriented programming language
PLACA, an agent oriented programming language
The PLACA agent programming language
ECAI-94 Proceedings of the workshop on agent theories, architectures, and languages on Intelligent agents
The Design of Intelligent Agents: A Layered Approach
The Design of Intelligent Agents: A Layered Approach
The Fuzzy Systems Handkbook with Cdrom
The Fuzzy Systems Handkbook with Cdrom
Intelligent Software Agents: Foundations and Applications
Intelligent Software Agents: Foundations and Applications
Adaptive evolutionary planner/navigator for mobile robots
IEEE Transactions on Evolutionary Computation
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The agents' theory offers flexibility for solution of problems whose environment is dynamic and imprecise. The use of the computational intelligence together with the agents' theory seems to be a natural way of providing an agent with intelligence. In this paper we describe the use of intelligent agents, whose intelligence is based on a fuzzy logic system, applied to the control of a robot, simulated by the Khepera simulator [1]. Fuzzy Logic Systems have demonstrated, through the numerous applications in the area, to be an effective procedure for control problems [2][3]. The attitude to be taken at each moment by an agent is defined by a set of fuzzy rules based upon the robot position, its sensor values, distance and angle relative to the target. To prevent the robot from getting stuck by some obstacles, a path memory system was created, forcing the robot to seek new alternatives when it gets trapped [4]. The results obtained demonstrate a successful combination of Computational Intelligence and the Theory of Agents in a control system with ability to avoid deadlock situations.