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Record Nr. |
UNINA9910451929403321 |
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Autore |
Wellman Michael P. |
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Titolo |
Autonomous bidding agents : strategies and lessons from the trading agent competition / / Michael P. Wellman, Amy Greenwald, and Peter Stone |
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Pubbl/distr/stampa |
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Cambridge, Massachusetts : , : MIT Press, , c2007 |
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[Piscataqay, New Jersey] : , : IEEE Xplore, , [2007] |
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ISBN |
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1-282-09878-0 |
9786612098789 |
0-262-28595-9 |
1-4294-8411-X |
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Descrizione fisica |
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1 online resource (251 p.) |
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Collana |
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Intelligent robotics and autonomous agents series |
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Altri autori (Persone) |
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StonePeter <1971-> |
GreenwaldAmy |
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Disciplina |
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Soggetti |
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Electronic commerce |
Intelligent agents (Computer software) |
Electronic books. |
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Lingua di pubblicazione |
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Formato |
Materiale a stampa |
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Livello bibliografico |
Monografia |
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Note generali |
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Bibliographic Level Mode of Issuance: Monograph |
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Nota di bibliografia |
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Includes bibliographical references (p. [227]-232) and indexes. |
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Nota di contenuto |
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Introduction -- The tac travel-shopping game -- Bidding in interdependent markets -- Price prediction -- Bidding with price predictions -- Machine learning and adaptivity -- Market-specific bidding strategies -- Experimental methods and strategic analysis -- Conclusion. |
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Sommario/riassunto |
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E-commerce increasingly provides opportunities for autonomous bidding agents: computer programs that bid in electronic markets without direct human intervention. Automated bidding strategies for an auction of a single good with a known valuation are fairly straightforward; designing strategies for simultaneous auctions with interdependent valuations is a more complex undertaking. This book presents algorithmic advances and strategy ideas within an integrated bidding agent architecture that have emerged from recent work in this fast-growing area of research in academia and industry. The authors analyze several novel bidding approaches that developed from the |
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