In large systems, it is important for agents to learn to act effectively, but sophisticated multi-agent learning algorithms generally do not scale. An alternative approach is to ï...
In this paper, we propose a framework for modelling agent organizations, OMNI, that allows the balance of global organizational requirements with the autonomy of individual agents...
As agents populate Cyberspace in their many guises and roles, they coordinate and interact in different ways, spanning self-interested, as well as collaborative interactions. Agen...
Organizations involving multiple agents require adaptation mechanisms to guarantee robustness, especially in critical domains. This paper presents an organizational template to ai...
In this paper the agent-oriented modeling perspective to cope with biological complexity is discussed. Three levels of dynamics can distinguished and related to each other: dynami...