Self-Organization in Biological Systems
Self-Organization in Biological Systems
Agent-Oriented Software Engineering IV: 4th International Workshop, Aose 2003, Melbourne, Australia, July 15, 2003: Revised Papers (LECTURE NOTES IN COMPUTER SCIENCE)
Modeling centralized organization of organizational change
Computational & Mathematical Organization Theory
Verification and analysis of organisational change
AAMAS'05 Proceedings of the 2005 international conference on Agents, Norms and Institutions for Regulated Multi-Agent Systems
Engineering Societies in the Agents World VIII
An adaptive multi-agent organization model based on dynamic role allocation
International Journal of Knowledge-based and Intelligent Engineering Systems
A three-dimensional abstraction framework to compare multi-agent system models
ICCCI'10 Proceedings of the Second international conference on Computational collective intelligence: technologies and applications - Volume PartI
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Multi-agent organizations in dynamic environments, need to have the ability to adapt to environmental changes to ensure a continuation of proper functioning. Such adaptations can be made through a centralized decision process or come from the individuals within the organization. In the domain of social insects, such as honeybees and wasps, organizations are known to adapt in a decentralized fashion to environmental changes. An organizational model for decentralized organizational change is presented that can aid in analyzing and designing such organizations. The model is specified by dynamic properties at different aggregation levels. At the lowest level such properties characterize the behavior of individual roles, which can be related to higher level properties that express important elements such as survival of an organization. A honeybee colony is used as a case study.