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Autonomous bidding agents : strategies and lessons from the trading agent competition / Michael P. Wellman, Amy Greenwald, and Peter Stone.

By: Contributor(s): Material type: TextTextSeries: Intelligent robotics and autonomous agentsPublication details: Cambridge, Mass. : MIT Press, ©2007.Description: 1 online resource (xi, 238 pages) : illustrationsContent type:
  • text
Media type:
  • computer
Carrier type:
  • online resource
ISBN:
  • 9780262285957
  • 0262285959
  • 9781429484114
  • 142948411X
  • 1282098780
  • 9781282098787
Subject(s): Additional physical formats: Print version:: Autonomous bidding agents.DDC classification:
  • 338.4/3 22
LOC classification:
  • HF5548.32 .W465 2007eb
Other classification:
  • ST 300
Online resources:
Contents:
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.
Summary: Overview and analysis of algorithmic advances developed within an integrated bidding agent architecture that emerged from recent research in a growing domain of AI.
Holdings
Item type Current library Collection Call number Status Date due Barcode Item holds
eBook eBook e-Library EBSCO Computers Available
Total holds: 0

Includes bibliographical references (pages 227-232) and indexes.

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.

Print version record.

Overview and analysis of algorithmic advances developed within an integrated bidding agent architecture that emerged from recent research in a growing domain of AI.

Added to collection customer.56279.3

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