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      1. Data och IT
      2. Systemvetenskap och AI

      Trading Agents

      AvMichael Wellman

      Häftad, Engelska, 2011

      Del i serien Synthesis Lectures on Artificial Intelligence and Machine Learning

      372 kr

      Beställningsvara. Skickas inom 10-15 vardagar. Fri frakt över 249 kr.

      Fler format och utgåvor

      E-bok

      447 kr

      Beskrivning

      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

      Produktinformation

      • Utgivningsdatum:2011-06-27
      • Mått:191 x 235 x 9 mm
      • Vikt:216 g
      • Format:Häftad
      • Språk:Engelska
      • Serie:Synthesis Lectures on Artificial Intelligence and Machine Learning
      • Antal sidor:93
      • Förlag:Springer International Publishing AG
      • ISBN:9783031004261
      • Originaltitel:Trading Agents

      Utforska kategorier

      • Systemvetenskap och AI inom Data och IT
      • Tillämpad matematik inom Naturvetenskap och teknik
      • Artificiell intelligens inom Data och IT

      Mer om författaren

      Michael P. Wellman is Professor of Computer Science & Engineering at the University of Michigan. He received a PhD from the Massachusetts Institute of Technology in 1988 for his work in qualitative probabilistic reasoning and decision-theoretic planning. From 1988 to 1992, Wellman conducted research in these areas at the USAF's Wright Laboratory. For the past 20 years, his research has focused on computational market mechanisms for distributed decision making and electronic commerce. As Chief Market Technologist for TradingDynamics, Inc. (now part of Ariba), he designed configurable auction technology for dynamic business-to-business commerce. Wellman previously served as Chair of the ACM Special Interest Group on Electronic Commerce (SIGecom), and as Executive Editor of the Journal of Artificial Intelligence Research. He is a Fellow of the Association for the Advancement of Artificial Intelligence and the Association for Computing Machinery.

      Innehållsförteckning

      • Introduction.- Example: Bidding on eBay.- Auction Fundamentals.- Continuous Double Auctions.- Interdependent Markets.- Conclusion.
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