Conflict Management in Multiagent Robotic System: FSM and Fuzzy Logic Approach
W. Jacak, K. Pröll, S. Dreiseitl, J. Rozenblit - Conflict Management in Multiagent Robotic System: FSM and Fuzzy Logic Approach - Proceedings of IEEE Intern. Conference System Man Cybernetics SMC'2001, Tucson, United States of America, 2001, pp. 1593-1598
Intelligent agent are a new paradigm for developing complex system applications.
The most powerful tools for handling complexity in system development are modularity and abstraction. Agents represent a powerful tool for making systems modular.
Industrial application of agent technology were among the first to be developed, in such domain as process control, manufacturing and robotic systems.
The agent systems base on autonomous software-hardware components (technical agents) that cooperate within an environment to perform some task.
An agent can be viewed as a self-contained, concurrently executing thread of control that encapsulates some states and communicates with its environment and possibly other agents via some sort of message passing.
The environment may contain other agent whose environments are disjoint with or only partially overlap with the environment of a given agent. In this paper we present the conflict management problem in multiagent robotic system.
The multiagent robotic system consists of the group of autonomous agents on the first - lower - level of its hierarchy, and the management agents on the second - upper - level of the hierarchy.