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Books > Computing & IT > Applications of computing > Artificial intelligence > Machine learning

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Trading Agents (Paperback) Loot Price: R1,063
Discovery Miles 10 630
Trading Agents (Paperback): Michael Wellman

Trading Agents (Paperback)

Michael Wellman

Series: Synthesis Lectures on Artificial Intelligence and Machine Learning

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Loot Price R1,063 Discovery Miles 10 630 | Repayment Terms: R100 pm x 12*

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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. Table of Contents: Introduction / Example: Bidding on eBay / Auction Fundamentals / Continuous Double Auctions / Interdependent Markets / Conclusion

General

Imprint: Springer International Publishing AG
Country of origin: Switzerland
Series: Synthesis Lectures on Artificial Intelligence and Machine Learning
Release date: June 2011
First published: 2011
Authors: Michael Wellman
Dimensions: 235 x 191mm (L x W)
Format: Paperback
Pages: 93
ISBN-13: 978-3-03-100426-1
Languages: English
Subtitles: English
Categories: Books > Science & Mathematics > Mathematics > Applied mathematics > Mathematical modelling
Books > Computing & IT > Applications of computing > Artificial intelligence > Machine learning
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LSN: 3-03-100426-4
Barcode: 9783031004261

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