Tournament-winning Strategy for Iterated Optional Prisoner's Dilemma

By Ahmed A. Shamma

Iterated optional prisoner's dilemma (IOPD) is an adversarial game that can be used to model several real-world scenarios, from mutual grooming between primates to alliances between business firms. This study utilizes simulation techniques to determine winning strategies for IOPD tournaments in a variety of initial conditions. Machine learning techniques are used to iteratively improve upon the winning strategy, culminating in a single undefeated strategy. The outcome of this study is a single strategy that we claim is likely to win an IOPD tournament for most reasonable initial conditions.

• Format: Paperback
• Language: English
• ISBN: B08R9R1CWB
• ISBN13: 9798586805126
• Release Date: December 2020
• Publisher: Independently Published
• Length: 58 Pages
• Weight: 0.35 lbs.
• Dimensions: 0.1" x 8.5" x 11.0"