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We present a new hybrid algorithm for local search in distributed combinatorial optimization. This method is a mix between classical local search methods in which nodes take decisions based only on local information, and full inference methods that guarantee completeness. We propose LS-DPOP(k), a hybrid method that combines the advantages of both these(More)
7 8 Abstract 9 This paper presents a multi-agent architecture that facilitates the development of real-time multi-agent systems based on the SIMBA 10 approach. The approach allows the integration of unbounded deliberative processes with critical real-time tasks. CBP-BDI deliberative 11 agents collaborate with ARTIS agents in order to solve real-time(More)
This paper presents a system architecture which is based on the multi-agent system paradigm for solving complex problems. This architecture is applied to solve the port container terminal management problem, and specifically to solve the automatic container allocation. The multi-agent systems paradigm seems to fit this problem due to its inherent(More)
Over the last few years, the application of the agent/multi-agent system paradigm seems appropriate for solving complex problems which require intelligence and bounded response times. This paper presents SIMBA: an architecture based on ARTIS agents as its main component for the development of real-time multiagent systems. The ARTIS agent architecture(More)