Multiagent Approach to Intelligent Control of Robot

Heuristic Approach to Conflict Problem Solving in an Intelligent Multiagent System

“…The set of all goals G is quasi ordered by a priority relation (reflexive and transitive), and can change in the time. Each agent has its own goal g i and an autonomous behavior, which is a result of its observations, its knowledge and its interactions with other agents [1,2,3,4]. A multiagent system is presented in Figure 1.…”

“…In order to resolve a conflict situation, a negotiation process among all conflict parties has to take place. The result of the negotiation should be a solution, which results in goal achievement for all involved agents [2,3].…”

“…The feasibility of the agent current state q(i) can be expressed as the geometrical distance between states q(j ) of different agents ρ(q(i), q(j )). If ρ(q(i), q(j )) < then κ i (m receivedfromj , q(i)) = T [1,2,5]. Solving the conflict avoidance problem by substitution of the concurrent planning and realization of actions of robots group with the sequentially performed one step planning and realization of the action of several robot.…”

“…The agent systems base on autonomous software-hardware components (technical agents) that cooperate within an environment to perform some task. This paper presents a heuristic approach for conflict management in an intelligent multiagent system, which is used to coordination of a society of independently acting agents in common environment [1,2,6,7,9,10,12,13].…”