DeCoMAS: An Architecture for Supplementing MAS with Systemic Models of Decentralized Agent Coordination

Authors:
Jan Sudeikat;Wolfgang Renz
Affiliations:
-;-
Venue:
WI-IAT '09 Proceedings of the 2009 IEEE/WIC/ACM International Joint Conference on Web Intelligence and Intelligent Agent Technology - Volume 02
Year:
2009

Citing 7
Cited 2

Coordination languages and their significance

Communications of the ACM
Business Dynamics

Business Dynamics
Instructions-Based Semantics of Agent Mediated Interaction

AAMAS '04 Proceedings of the Third International Joint Conference on Autonomous Agents and Multiagent Systems - Volume 1
Infrastructures for the environment of multiagent systems

Autonomous Agents and Multi-Agent Systems
Integrating heterogeneous agent programming platforms within artifact-based environments

Proceedings of the 7th international joint conference on Autonomous agents and multiagent systems - Volume 1
Goal-Directed Interactions in Artifact-Based MAS: Jadex Agents Playing in CARTAGO Environments

WI-IAT '08 Proceedings of the 2008 IEEE/WIC/ACM International Conference on Web Intelligence and Intelligent Agent Technology - Volume 02
Supporting agent-oriented designs with models of macroscopic system behavior

Proceedings of The 8th International Conference on Autonomous Agents and Multiagent Systems - Volume 2

On the modeling, refinement and integration of decentralized agent coordination: a case study on dissemination processes in networks

SOAR'09 Proceedings of the First international conference on Self-organizing architectures
On the combination of top-down and bottom-up methodologies for the design of coordination mechanisms in self-organising systems

Information and Software Technology

Quantified Score

Hi-index	0.00

Visualization

Abstract

The systematic conception of decentralized and self-adaptive software systems, as demanded for the run-time management of today’s distributed, multi-tier software architectures, is an active research area. Here, we discuss a coordination architecture that facilitates the enactment of externalized coordination models in Multi-agent Systems (MAS). Coordination is configured by systemic models, i.e. structures of agent-behaviour interdependencies that denote the mutual influences of agent activities. The systematic, iterative application development is supported by a non-intrusive integration approach that enables developers to adjust application dynamics by complementing agent-based applications with systemic coordination models.