Agent-Mediated Electronic Commerce and Trading Agent Design and Analysis: AAMAS Workshop, AMEC 2008, Estoril, Portugal, May 12-16, 2008, and AAAI Workshop, TADA 2008, Chicago, IL, USA, July 14, 208, Revised, Selected Papers
Wolfgang Ketter, Han La Poutré, Norman M. Sadeh, Onn Shehory, William Walsh
Springer Science & Business Media, Aug 18, 2010 - Business & Economics - 191 pages
The design and analysis of electronic commerce systems in which agents are - ployed involves finding solutions to a large and diverse array of problems, concerning individual agent behaviors, interaction, and collective behavior. A wide variety of electronic commerce scenarios and systems, including agent approaches to these, have been studied in recent years. These studies suggest models that support the - sign and the analysis at both the level of the single agent and the level of the multiagent system. th This volume contains revised, selected papers from the 10 Workshop on Agent- Mediated Electronic Commerce (AMEC-X), co-located with the 7th International Joint Conference on Autonomous Agents and Multiagent Systems (AAMAS 2008), th and from the 6 Workshop on Trading Agent Design and Analysis (TADA), - located with the 23rd AAAI Conference on Artificial Intelligence (AAAI 2008). The primary, and complementary, goal of both workshops was to continue to bring - gether novel work from diverse fields that focus on modeling, implementation, and evaluation of computational trading institutions and/or agent strategies.
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algorithm allocation attribute prediction automated average Bayesian beneﬁt bidding strategies BidEvaluator Botticelli buyers CAPTCHA clearing prices combinatorial auctions competition component consumer correct answer CP-net Current computer prices decision-theoretic DeepMaize deﬁned diﬀerent diﬃcult distribution double auction dynamic pricing eﬀective efﬁciency eﬃcient electronic commerce equilibrium strategies evaluation exercise price expected proﬁt experimental fees ﬁltering ﬁnd ﬁrst iteration ﬁve ﬂight Future computer prices game-theoretic heuristics Hidden Markov Model matched maximize mechanism minimax regret based Multi-Agent Systems multiagent multiple negotiation domains node oﬀer opponent opponent’s optimal options outcome parameters participants performance preference elicitation preference graph preference proﬁle preferred attribute price predictions problem product attributes random recommender system regret-based request RMS Error scenarios second iteration Section seller sequence signiﬁcant simulation speciﬁc STAP supplier synergy bidder TAC SCM TacTex TargetMU task traders Trading Agent under-reporting utility function