- 180 pages
- English
- PDF
- Available on iOS & Android
eBook - PDF
On the Design of Game-Playing Agents
About this book
Evolving agents to play games is a promising technology. It can provide entertaining opponents for games like Chess or Checkers, matched to a human opponent as an alternative to the perfect and unbeatable opponents embodied by current artifical intelligences. Evolved agents also permit us to explore the strategy space of mathematical games like Prisoner's Dilemma and Rock-Paper-Scissors. This book summarizes, explores, and extends recent work showing that there are many unsuspected factors that must be controlled in order to create a plausible or useful set of agents for modeling cooperation and conflict, deal making, or other social behaviors. The book also provides a proposal for an agent training protocol that is intended as a step toward being able to train humaniform agents—in other words, agents that plausibly model human behavior.
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Information
Table of contents
- Cover
- Copyright Page
- Title Page
- Contents
- Preface
- Acknowledgments
- Introduction
- The First Place Where Trouble Arose
- Problems Beyond Representation
- Does All This Happen Outside of Prisoner’s Dilemma?
- Noise!
- Describing and Designing Representations
- Bibliography
- Authors' Biographies
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Yes, you can access On the Design of Game-Playing Agents by Eun-Youn Kim,Daniel Ashlock in PDF and/or ePUB format, as well as other popular books in Mathematics & Artificial Intelligence (AI) & Semantics. We have over 1.5 million books available in our catalogue for you to explore.