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New Trends in Agent-Based Complex Automated Negotiations [electronic resource] /

edited by Takayuki Ito, Minjie Zhang, Valentin Robu, Shaheen Fatima, Tokuro Matsuo.

Book Cover
Names: Ito, Takayuki. | Zhang, Minjie. | Robu, Valentin. | Fatima, Shaheen. | Matsuo, Tokuro.
Published: Berlin, Heidelberg : Springer Berlin Heidelberg, 2012.
Series: Studies in Computational Intelligence, 383
Topics: Engineering. | Artificial intelligence. | Engineering. | Computational Intelligence. | Artificial Intelligence (incl. Robotics).
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245 10|aNew Trends in Agent-Based Complex Automated Negotiations|h[electronic resource] /|cedited by Takayuki Ito, Minjie Zhang, Valentin Robu, Shaheen Fatima, Tokuro Matsuo.
264 1|aBerlin, Heidelberg :|bSpringer Berlin Heidelberg,|c2012.
300 |aXII, 176 p.|bonline resource.
336 |atext|btxt|2rdacontent
337 |acomputer|bc|2rdamedia
338 |aonline resource|bcr|2rdacarrier
347 |atext file|bPDF|2rda
490 1 |aStudies in Computational Intelligence,|x1860-949X ;|v383
505 0 |aFrom the content: The Effect of Preference Representation on Learning Preferences in Negotiation -- Bilateral Single-Issue Negotiation Model Considering Nonlinear Utility and Time Constraint -- The Effect of Grouping Issues in Multiple Interdependent Issues Negotiation based on Cone-Constraints -- Automated Agents that Proficiently Negotiate with People: Can We Keep People out of the Evaluation Loop -- Matchmaking in Multi-attribute Auctions using a Genetic Algorithm and a Particle Swarm Approach.
520 |aComplex 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.
650 0|aEngineering.
650 0|aArtificial intelligence.
650 14|aEngineering.
650 24|aComputational Intelligence.
650 24|aArtificial Intelligence (incl. Robotics).
700 1 |aIto, Takayuki.|eeditor.
700 1 |aZhang, Minjie.|eeditor.
700 1 |aRobu, Valentin.|eeditor.
700 1 |aFatima, Shaheen.|eeditor.
700 1 |aMatsuo, Tokuro.|eeditor.
710 2 |aSpringerLink (Online service)
773 0 |tSpringer eBooks
776 08|iPrinted edition:|z9783642246951
830 0|aStudies in Computational Intelligence,|x1860-949X ;|v383
852 80|beitem|hSpringer|t1
856 40|uhttp://libweb.ben.edu/login?source=opac&url=http://dx.doi.org/10.1007/978-3-642-24696-8|yLink to New Trends in Agent-Based Complex Automated Negotiations|z(access limited to Benedictine University patrons)
912 |aZDB-2-ENG
950 |aEngineering (Springer-11647)

Staff View for: New Trends in Agent-Based Complex Automa