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A complex adaptive system approach for agent-based peer-to-peer collaborative applications

We are developing a framework for agent-based peer-to-peer systems relying on heterarchy and stigmergy principles. Heterarchy is a style of organization in which any system agent can influence any other agent behavior according to circumstantial system needs and stigmergy is a method of interaction in which agent communication is mediated by the environment. This approach is inspired on natural complex adaptive systems and aims to generate scalable, fault-tolerant and decentralized systems. As a basis of our framework, we are developing a peer-to-peer information retrieval model in which indexer agents deposit meta-information in the network to guide query agents to peers containing indexes for desired objects.