[PDF.42np] Autonomous Bidding Agents: Strategies and Lessons from the Trading Agent Competition (Intelligent Robotics and Autonomous Agents series)

Autonomous Bidding Agents: Strategies and Lessons from the Trading Agent Competition (Intelligent Robotics and Autonomous Agents series)

[PDF.ud15] Autonomous Bidding Agents: Strategies and Lessons from the Trading Agent Competition (Intelligent Robotics and Autonomous Agents series)

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 | #4053026 in Books |  The MIT Press |  2007-07-13 | Original language:English | PDF # 1 |  9.00 x.50 x6.00l,1.04 | File type: PDF | 238 pages

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||About the Author||Amy Greenwald is Assistant Professor of Computer Science at Brown University.

|Michael P. Wellman is Professor of Computer Science and Engineering and member of the Artificial Intelligence Laboratory at the University of Michigan, An

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 a...

You easily download any file type for your device.Autonomous Bidding Agents: Strategies and Lessons from the Trading Agent Competition (Intelligent Robotics and Autonomous Agents series)   |  Michael P. Wellman, Amy Greenwald, Peter Stone. Just read it with an open mind because none of us really know.

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