Author: Takayuki Ito, Minjie Zhang, Valentin Robu, Shaheen Fatima, Tokuro Matsuo
Description:
Complex Automated Negotiations represent an important, emerging area in
the field of Autonomous Agents and Multi-Agent Systems. Automated
negotiations can be complex, since there are a lot of factors that
characterize such negotiations. These factors include the number of
issues, dependencies between these issues, representation of utilities,
the negotiation protocol, the number of parties in the negotiation
(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 efficient bargaining
strategies. To realize such a complex automated negotiation, we have to
incorporate advanced Artificial Intelligence technologies includes
search, CSP, graphical utility models, Bayes nets, auctions, utility
graphs, predicting and learning methods. Applications could include
e-commerce tools, decision-making support tools, negotiation support
tools, collaboration tools, etc. This book aims to provide a description
of the new trends in Agent-based, Complex Automated Negotiation, based
on the papers from leading researchers. Moreover, it gives an overview
of the latest scientific efforts in this field, such as the platform and
strategies of automated negotiating techniques.
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