The Reorganization of Societies of Autonomous Agents
Proceedings of the 8th European Workshop on Modelling Autonomous Agents in a Multi-Agent World: Multi-Agent Rationality
The evolution of artificial social systems
IJCAI'05 Proceedings of the 19th international joint conference on Artificial intelligence
Adaptive mechanisms of organizational structures in multi-agent systems
PRIMA'06 Proceedings of the 9th Pacific Rim international conference on Agent Computing and Multi-Agent Systems
A graph transformation system model of dynamic reorganization in multi-agent systems
IDEAL'06 Proceedings of the 7th international conference on Intelligent Data Engineering and Automated Learning
Exploring congruence between organizational structure and task performance: a simulation approach
AAMAS'05 Proceedings of the 2005 international conference on Agents, Norms and Institutions for Regulated Multi-Agent Systems
On the Role of Structured Information Exchange in Supervised Learning
Proceedings of the 2008 conference on ECAI 2008: 18th European Conference on Artificial Intelligence
Decentralized approaches for self-adaptation in agent organizations
ACM Transactions on Autonomous and Adaptive Systems (TAAS) - Special section on formal methods in pervasive computing, pervasive adaptation, and self-adaptive systems: Models and algorithms
Proceedings of the 2013 international conference on Autonomous agents and multi-agent systems
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It is necessary for an organization to react to various changes from both the external environment and internal elements in multi-agent systems since existing open, dynamic environments. Reorganization provides the adaptive capabilities of an organization to deal with these changes and becomes one of the key issues of organization theories. To represent and simulate the dynamic process of reorganization in multi-agent system, in this paper, we propose a graph transformation based approach in the context of organizational structures and introduce a quantitative simulation of predator/prey game to show how the reorganization process can be enforced with this model and to indicate preliminary results of the reorganization simulation based on this graph transformation approach.