caa a22 4500 477074448 CHVBK 20180405111435.0 cr unu---uuuuu 170330e19961201xx s 000 0 eng 10.1007/BF02900901 doi (NATIONALLICENCE)springer-10.1007/BF02900901 Dynamic behavior modeling in multi-agent system by evolutionary programming [Elektronische Daten] [Jun Wei, Zhengjun Pan, Lishang Kang] In a multi-agent system, each agent must adapt itself to the environment and coordinate with other agents dynamically. To predict or cooperate with the behavior of other agents. An agent should dynamically establish and evolve the cooperative behavior model of itself. In this paper, we represent the behavior model of an agent as a finite state machine and propose a new method of dynamically evolving the behavior model of an agent by evolutionary programming. Springer, 1996 Wei Jun State Key Lab of Software Engineering, Wuhan University, 430072, Wuhan, P.R. China aut Pan Zhengjun State Key Lab of Software Engineering, Wuhan University, 430072, Wuhan, P.R. China aut Kang Lishang State Key Lab of Software Engineering, Wuhan University, 430072, Wuhan, P.R. China aut Wuhan University Journal of Natural Sciences Wuhan University 1/3-4(1996-12-01), 651-657 1007-1202 1:3-4<651 1996 1 11859 https://doi.org/10.1007/BF02900901 text/html Onlinezugriff via DOI 1 research-article jats NATIONALLICENCE 856 40 https://doi.org/10.1007/BF02900901 text/html Onlinezugriff via DOI NATIONALLICENCE 700 1- Wei Jun State Key Lab of Software Engineering, Wuhan University, 430072, Wuhan, P.R. China aut NATIONALLICENCE 700 1- Pan Zhengjun State Key Lab of Software Engineering, Wuhan University, 430072, Wuhan, P.R. China aut NATIONALLICENCE 700 1- Kang Lishang State Key Lab of Software Engineering, Wuhan University, 430072, Wuhan, P.R. China aut NATIONALLICENCE 773 0- Wuhan University Journal of Natural Sciences Wuhan University 1/3-4(1996-12-01), 651-657 1007-1202 1:3-4<651 1996 1 11859 Metadata rights reserved Springer special CC-BY-NC licence nationallicence BK010053 XK010053 XK010000 NATIONALLICENCE NATIONALLICENCE NL-springer