Author:
Jan Ole Berndt
Affiliation:
Universität Bremen, Germany
Keyword(s):
Agent coordination, Self-organization, Expectations, Systems theory, Logistics, Supply networks.
Related
Ontology
Subjects/Areas/Topics:
Agent Models and Architectures
;
Agents
;
Artificial Intelligence
;
Artificial Intelligence and Decision Support Systems
;
Autonomous Systems
;
Bioinformatics
;
Biomedical Engineering
;
Collective Intelligence
;
Cooperation and Coordination
;
Distributed and Mobile Software Systems
;
Enterprise Information Systems
;
Information Systems Analysis and Specification
;
Knowledge Engineering and Ontology Development
;
Knowledge-Based Systems
;
Methodologies and Technologies
;
Multi-Agent Systems
;
Operational Research
;
Simulation
;
Software Engineering
;
Symbolic Systems
Abstract:
Supply networks are faced with the contradictory requirements of achieving high operational eciency while retaining the ability to adapt to a changing environment. Decentralized approaches representing logistics entities by autonomous artificial agents must therefore be enabled to structure and operate supply networks efficiently according to the domain’s inherent dynamics caused, for instance, by changing customer demands and network participants entering or leaving the system. In this paper, a novel approach to self- organization for multiagent systems is presented, avoiding a priori assumptions of agent characteristics by generating expectations from observable behavior.