Dynamics sequential logic model and mechanism for cooperation to solve task of complex self-adaptive multi-agent systems
Lina Yao · Journal of PLA University of Science and Technology · 2012
From the ideas of tissue,the running unit of the self-adaptive system was Abstracted as Agent.The complex adaptive system was regarded as a multi-Agent organization.From the perspective of time and status the behavior of the complex dynamic systems was described.Temporal logic multi-Agent based dynamic adaptive mechanisms and the task solving cooperation structure model were proposed.Detailed analysis was made of the task to solve BDI Agent's belief,desire,intention and realization of the production process.The negotiation of rules and semantic inference rules of conduct was fully discussed.The collaborative group selection algorithm was presented,including the establishment from the group.Selection of the Task Agent,decomposition and allocation of subtasks.From the changing angle of the Agent's mind to solve the task,a detailed description was given of the task to solve the model to achieve dynamic collaboration of six stages: dynamic allocation of tasks,collaboration production,collaborative groups generation,common planning,collaborative groups,action and evaluation of results.Experiments and simulation tests on MAGE and other platforms verify the feasibility and effectiveness of the proposed approaches.