Reciprocal and Extortive Strategies: Infinitely Iterated Prisoner's Dilemma
Robert D. Young

TL;DR
This paper extends the analysis of strategies in the infinitely iterated Prisoner's Dilemma, revealing linear payoff relations and introducing the DaMD strategy, which can be extortive or reciprocal, influencing long-term outcomes.
Contribution
It generalizes Markov chain analysis for strategy mapping, introduces the strategy parameter concept, and characterizes extortive and reciprocal strategies like DaMD.
Findings
DaMD strategy leads to linear payoff relations.
Extortive DaMD yields higher scores for its user.
Players can enforce mutual punishment or cooperation using DaMD.
Abstract
The Prisoner's Dilemma game has a long history stretching across the social, biological, and physical sciences. In 2012, Press and Dyson developed a method for analyzing the mapping of the 8-dimensional strategy profile onto the 2-dimensional payoff space in an infinitely iterated Prisoner's Dilemma game, based on Markov chain analysis and memory-one strategies. We generalize this approach and introduce the concept of strategy parameter to show that linear relations among player payoffs are a ubiquitous feature of the infinitely iterated Prisoner's Dilemma game. Our extended analysis is applied to various strategy profiles including tit-for-tat, win-stay-lose-shift, and other randomized strategy sets. Strategy profiles are identified that map onto the vertices, edges, and interior of the Prisoner's Dilemma quadrilateral in the 2-dimensional payoff (score) space. A DaMD strategy is…
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Taxonomy
TopicsEvolutionary Game Theory and Cooperation · Experimental Behavioral Economics Studies · Evolutionary Psychology and Human Behavior
