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Item Details
Title: TRADING AGENTS
By: Michael Wellman, Ronald Brachman, Thomas Dietterich
Format: Paperback

List price: £40.95


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ISBN 10: 1598296051
ISBN 13: 9781598296051
Publisher: MORGAN & CLAYPOOL PUBLISHERS
Pub. date: 15 November, 2008
Series: Synthesis Lectures on Artificial Intelligence and Machine Learning
Pages: 107
Description: Design of effective trading strategies requires thorough understanding of how market mechanisms operate, and appreciation of strategic issues that commonly manifest in trading scenarios. Drawing on research in auction theory and artificial intelligence, this book presents core principles of strategic reasoning that apply to market situations.
Synopsis: Automated trading in electronic markets is one of the most common and consequential applications of autonomous software agents. Design of effective trading strategies requires thorough understanding of how market mechanisms operate, and appreciation of strategic issues that commonly manifest in trading scenarios. Drawing on research in auction theory and artificial intelligence, this book presents core principles of strategic reasoning that apply to market situations. The author illustrates trading strategy choices through examples of concrete market environments, such as eBay, as well as abstract market models defined by configurations of auctions and traders. Techniques for addressing these choices constitute essential building blocks for the design of trading strategies for rich market applications. The lecture assumes no prior background in game theory or auction theory, or artificial intelligence.
Illustrations: black & white illustrations
Publication: US
Imprint: Morgan & Claypool Publishers
Returns: Non-returnable
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