Esther David (ed.); Valentin Robu (ed.); Onn Shehory (ed.); Sebastian Stein (ed.); Andreas Symeonidis (ed.) Springer (2013) Saatavuus: Tilaustuote Pehmeäkantinen kirja
Esther David (ed.); Christopher Kiekintveld (ed.); Valentin Robu (ed.); Onn Shehory (ed.); Sebastian Stein (ed.) Springer (2013) Saatavuus: Tilaustuote Pehmeäkantinen kirja
Sofia Ceppi (ed.); Esther David (ed.); Vedran Podobnik (ed.); Valentin Robu (ed.); Onn Shehory (ed.); Sebastian (ed. Stein Springer (2014) Saatavuus: Tilaustuote Pehmeäkantinen kirja
Sofia Ceppi (ed.); Esther David (ed.); Chen Hajaj (ed.); Valentin Robu (ed.); Ioannis A. Vetsikas (ed.) Springer (2017) Saatavuus: Tilaustuote Pehmeäkantinen kirja
Naoki Fukuta; Takayuki Ito; Minjie Zhang; Katsuhide Fujita; Valentin Robu Springer International Publishing AG (2018) Saatavuus: Tilaustuote Pehmeäkantinen kirja
Complex Automated Negotiations have been widely studied and are becoming an important, emerging area in the field of Autonomous Agents and Multi-Agent Systems. In general, automated negotiations can be complex, since there are a lot of factors that characterize such negotiations. These factors include the number of issues, dependency between issues, representation of utility, negotiation protocol, negotiation form (bilateral or multi-party), time constraints, etc. Software agents can support automation or simulation of such complex negotiations on the behalf of their owners, and can provide them with adequate bargaining strategies. In many multi-issue bargaining settings, negotiation becomes more than a zero-sum game, so bargaining agents have an incentive to cooperate in order to achieve efficient win-win agreements. Also, in a complex negotiation, there could be multiple issues that are interdependent. Thus, agent’s utility will become more complex than simple utility functions. Further, negotiation forms and protocols could be different between bilateral situations and multi-party situations. To realize such a complex automated negotiati on, we have to incorporate advanced Artificial Intelligence technologies includes search, CSP, graphical utility models, Bays nets, auctions, utility graphs, predicting and learning methods. Applications could include e-commerce tools, decisionmaking support tools, negotiation support tools, collaboration tools, etc.
These issues are explored by researchers from different communities in Autonomous Agents and Multi-Agent systems. They are, for instance, being studied in agent negotiation, multi-issue negotiations, auctions, mechanism design, electronic commerce, voting, secure protocols, matchmaking & brokering, argumentation, and co-operation mechanisms. This book is also edited from some aspects of negotiation researches including theoretical mechanism design of trading based on auctions, allocation mechanismbased on negotiation among multi-agent, case-study and analysis of automated negotiations, data engineering issues in negotiations, and so on.
