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Books > Computing & IT > Applications of computing > Artificial intelligence
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Innovations in Agent-Based Complex Automated Negotiations (Paperback, 2011 ed.)
Loot Price: R3,020
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Innovations in Agent-Based Complex Automated Negotiations (Paperback, 2011 ed.)
Series: Studies in Computational Intelligence, 319
Expected to ship within 10 - 15 working days
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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 negotiation, 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, decision-making
support tools, negotiation support tools, collaboration tools, etc.
In this book, we solicit papers on all aspects of such complex
automated negotiations in the field of Autonomous Agents and
Multi-Agent Systems. In addition, this book includes papers on the
ANAC 2010 (Automated Negotiating Agents Competition), in which
automated agents who have different negotiation strategies and
implemented by different developers are automatically negotiate in
the several negotiation domains. ANAC is one of real testbeds in
which strategies for automated negotiating agents are evaluated in
a tournament style.
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