Heuristic approach to conflict problem solving in an intelligent multiagent system

Authors:
Witold Jacak;Karin Pröll
Affiliations:
Dept. of Software Engineering at Hagenberg, Upper Austrian University of Applied Sciences, Hagenberg, Austria;Dept. of Software Engineering at Hagenberg, Upper Austrian University of Applied Sciences, Hagenberg, Austria
Venue:
EUROCAST'07 Proceedings of the 11th international conference on Computer aided systems theory
Year:
2007

Citing 7
Cited 1

High-level planning and low-level execution: towards a complete robotic agent

AGENTS '97 Proceedings of the first international conference on Autonomous agents
Automated negotiation

Communications of the ACM
Multiagent systems: a modern approach to distributed artificial intelligence

Multiagent systems: a modern approach to distributed artificial intelligence
Distributed rational decision making

Multiagent systems
Multi-agent reinforcement learning for planning and conflict resolution in a dynamic domain

AGENTS '00 Proceedings of the fourth international conference on Autonomous agents
Intelligent Software Agents: Foundations and Applications

Intelligent Software Agents: Foundations and Applications
Multiagent Approach to Intelligent Control of Robot

EUROCAST '99 Proceedings on Computer Aided Systems Theory

The evolution of rules for conflicts resolution in self-organizing teams

Expert Systems with Applications: An International Journal

Quantified Score

Hi-index	0.00

Visualization

Abstract

The paper presents a method that allows an intelligent multi-agent system to coordinate and negotiate their actions in order to achieve a common goal. Each individual agent consists of several autonomous components that allow the agent to perceive and react to its environment, to plan and execute an action, and to negotiate with other agents in an intelligent manner. A heuristic approach for conflict solution is presented, which is used for coordination of a society of independently acting agents in common environment. The application of the method is shown on an intelligent multiagent robotic system realizing complex transfer operations simultanously.