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Volumn 2, Issue , 2009, Pages 750-757

Facing the challenge of human-agent negotiations via effective general opponent modeling

Author keywords

Automated bilateral negotiation; Opponent modeling

Indexed keywords

AUTONOMOUS AGENTS; KNOWLEDGE BASED SYSTEMS; MULTI AGENT SYSTEMS;

EID: 77958523438     PISSN: 15488403     EISSN: 15582914     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (52)

References (23)
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  • 4
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    • Erev, I.1    Roth, A.2
  • 8
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    • Opponent modelling in automated multi-issue negotiation using bayesian learning
    • K. Hindriks and D Tykhonov. Opponent modelling in automated multi-issue negotiation using bayesian learning. In Proceedings of AAMAS '08, pages 331-338, 2008.
    • (2008) Proceedings of AAMAS '08 , pp. 331-338
    • Hindriks, K.1    Tykhonov, D.2
  • 9
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    • Thinking coalitionally: Party arithmetic, process opportunism, and strategic sequencing
    • H. P. Young, editor, The University of Michigan Press
    • D. A. Lax and J. K. Sebenius Thinking coalitionally: party arithmetic, process opportunism, and strategic sequencing. In H. P. Young, editor, Negotiation Analysis, pages 153-193. The University of Michigan Press, 1992.
    • (1992) Negotiation Analysis , pp. 153-193
    • Lax, D.A.1    Sebenius, J.K.2
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    • Negotiating with bounded rational agents in environments with incomplete information using an automated agent
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    • (2008) AIJ , vol.172 , Issue.6-7 , pp. 823-851
    • Lin, R.1    Kraus, S.2    Wilkenfeld, J.3    Barry, J.4
  • 15
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    • An experimental study of the centipede game
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    • The bargaining problem
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    • Saha, S.1    Biswas, A.2    Sen, S.3
  • 20
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* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.