Titlebook: Distributed Artificial Intelligence: Architecture and Modelling; First Australian Wor Chengqi Zhang,Dickson Lukose Conference proceedings 1

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https://doi.org/10.1007/978-1-4615-2538-7 can be both improved and weakened. Both PMM and ESS are, according to game theory, individual rational and pareto optimal but they address different kinds of problems. If we know the maximum expected costs that each agent is willing to pay to achieve his goal, it is possible to use a PMM. If we ins

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https://doi.org/10.1007/3-540-61314-5Agent Architectures; Agentenarchitekturen; Artificial intelligence; Autonome Agenten; Autonomous Agents;

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https://doi.org/10.1007/978-1-4615-2538-7different types of DPS frameworks. In this paper, we define a comprehensive framework for Distributed Problem Solving. Firstly, we clarify four different types of basic DPS frameworks: DPS1 for task unique-allocation problems, DPS2 for task multi-allocation problems, DPS3 for task decomposition prob

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https://doi.org/10.1007/978-1-4615-2538-7odology for the modular specification of agents and systems of agents. In particular, the suggested methodology possesses important features from the paradigm of object-oriented (OO) design. We are particularly interested in the specification of agent behaviours via BDI theories—i.e., theories of .