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Volumn 98 LNBIP, Issue , 2012, Pages 191-218

MACSIMA: An agent framework for simulating the evolution of negotiation strategies in B2B-networked economies

Author keywords

Agent based Simulation Modeling and Output Analysis; Agent based Supply Chain Management; Bilateral Negotiation; Coherence and Coordination; Coordination Mechanism Design; Distributed Artificial Intelligence; Evolutionary Learning; Experimental Economics; Genetic Algorithms; Intelligent Agents; Multi agent Systems; Supply Networks

Indexed keywords

COMPUTER SIMULATION; ELECTRIC NETWORK TOPOLOGY; GENETIC ALGORITHMS; INDUSTRY; INTELLIGENT AGENTS; INTEROPERABILITY; MACHINE DESIGN; MULTI AGENT SYSTEMS; SUPPLY CHAIN MANAGEMENT;

EID: 84858273414     PISSN: 18651348     EISSN: None     Source Type: Book Series    
DOI: 10.1007/978-3-642-28563-9_11     Document Type: Conference Paper
Times cited : (3)

References (9)
  • 4
    • 33645313824 scopus 로고    scopus 로고
    • An Evolutionary Learning Approach for Adaptive Negotiation Agents
    • Lau, R., et al.: An Evolutionary Learning Approach for Adaptive Negotiation Agents. International Journal of Intelligent Systems 21(1), 41-72 (2006)
    • (2006) International Journal of Intelligent Systems , vol.21 , Issue.1 , pp. 41-72
    • Lau, R.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.