THE ITERATED PRISONERS' DILEMMA
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THE ITERATED PRISONERS' DILEMMA
20 Years On
by Graham Kendall (The University of Nottingham, UK), Xin Yao & Siang Yew Chong (The University of Birmingham, UK)
In 1984, Robert Axelrod published a book, relating the story of two competitions which he ran, where invited academics entered strategies for the Iterated Prisoners� Dilemma. The book, almost 20 years on, is still widely read and cited by academics and the general public.
As a celebration of that landmark work, we have recreated those competitions to celebrate its 20th anniversary, by again inviting academics to submit prisoners� dilemma strategies. The first of these new competitions was run in July 2004, and the second in April 2005. Iterated Prisoners� Dilemma: 20 Years On essentially provides an update of the Axelrod�s book.
Specifically, it - Presents the prisoners� dilemma, its history and variants
- Highlights original Axelrod's work and its impact
- Discusses results of new competitions
- Showcases selected papers that reflect the latest researches in the area
Contents:
- The Iterated Prisoner's Dilemma: 20 Years On (S Y Chong et al.)
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Iterated Prisoner's Dilemma and Evolutionary Game Theory (S Y Chong et al.)
- Learning IPD Strategies Through Co-Evolution (S Y Chong et al.)
- How to Design a Strategy to Win an IPD Tournament (J Li et al.)
- An Immune Adaptive Agent for the Iterated Prisoner's Dilemma (O Alonso & F Ni�o)
- Exponential Smoothed Tit-for-Tat (M Filzmoser)
- Opponent Modelling, Evolution, and The Iterated Prisoner's Dilemma (P Hingston et al.)
- On Some Winning Strategies for the Iterated Prisoner's Dilemma (W Slany & W Kienreich)
- Error-Correcting Codes for Team Coordination Within a Noisy Iterated Prisoner's Dilemma Tournament (A Rogers et al.)
- Is It Accidental or Intentional? A Symbolic Approach to the Noisy Iterated Prisoner's Dilemma (T-C Au & D Nau)
- and other papers
View Full Text (3,296 KB)
Readership: Researchers and practitioners in game theory, evolutionary
computation, complex adaptive systems, artificial intelligence and machine learning.
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272pp
Pub. date: May 2007
eISBN 978-981-277-068-4
Price: US$120
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