Abstract
Agent-based approaches to scheduling have gained increasing attention in recent years. One inherent advantage of agent-based approaches is their tendency for robust behavior; since activity is coordinated via local interaction protocols and decision policies, the system is insensitive to unpredictability in the executing environment. At the same time, such “self-scheduling” systems presume that a coherent global behavior will emerge from the local interactions of individual agents, and realizing this behavior remains a difficult problem. We draw on the adaptive behavior of the natural multi-agent system of the wasp colony as inspiration for decentralized mechanisms for coordinating factory operations. We compare the resulting systems to the state-of-the-art for the problems examined.
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Cicirello, V.A., Smith, S.F. (2003). Distributed Coordination of Resources via Wasp-Like Agents. In: Truszkowski, W., Hinchey, M., Rouff, C. (eds) Innovative Concepts for Agent-Based Systems. WRAC 2002. Lecture Notes in Computer Science(), vol 2564. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-45173-0_5
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DOI: https://doi.org/10.1007/978-3-540-45173-0_5
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