Abstract
Coalition formation is an important coordination problem in multi-agent systems, and a proper description of collaborative abilities for agents is the basic and key precondition in handling this problem. In this paper, a model of task-oriented collaborative abilities is established, where five task-oriented abilities are extracted to form a collaborative ability vector. A task demand vector is also described. In addition, a method of coalition formation with stochastic mechanism is proposed to reduce excessive competitions. An artificial intelligent algorithm is proposed to compensate for the difference between the expected and actual task requirements, which could improve the cognitive capabilities of agents for human commands. Simulations show the effectiveness of the proposed model and the distributed artificial intelligent algorithm.
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Project supported by the National Natural Science Foundation of China (Nos. 61573062, 61120106010, and 61321002), the Beijing Outstanding Ph.D. Program Mentor (No. 20131000704), and the Beijing Advanced Innovation Center for Intelligent Robots and Systems (Beijing Institute of Technology)
ORCID: Hao FANG, http://orcid.org/0000-0002-9627-0325
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Fang, H., Lu, Sl., Chen, J. et al. Coalition formation based on a task-oriented collaborative ability vector. Frontiers Inf Technol Electronic Eng 18, 139–148 (2017). https://doi.org/10.1631/FITEE.1601608
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DOI: https://doi.org/10.1631/FITEE.1601608