Trading Agents / by Michael Wellman.

Format:

Book

Author/Creator:

Wellman, Michael., Author.

Series:

Synthesis Lectures on Artificial Intelligence and Machine Learning, 1939-4616

Language:

English

Subjects (All):

Artificial intelligence.

Machine learning.

Neural networks (Computer science).

Artificial Intelligence.

Machine Learning.

Mathematical Models of Cognitive Processes and Neural Networks.

Local Subjects:

Artificial Intelligence.

Machine Learning.

Mathematical Models of Cognitive Processes and Neural Networks.

Physical Description:

1 online resource (XIII, 93 p.)

Edition:

1st ed. 2011.

Place of Publication:

Cham : Springer Nature Switzerland : Imprint: Springer, 2011.

Summary:

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.

Contents:

Introduction

Example: Bidding on eBay

Auction Fundamentals

Continuous Double Auctions

Interdependent Markets

Conclusion.

ISBN:

9783031015540

3031015541