• Corpus ID: 221470330

A Predictive Strategy for the Iterated Prisoner's Dilemma

  title={A Predictive Strategy for the Iterated Prisoner's Dilemma},
  author={Robert Prentner},
The iterated prisoner's dilemma is a game that produces many counter-intuitive and complex behaviors in a social environment, based on very simple basic rules. It illustrates that cooperation can be a good thing even in a competitive world, that individual fitness needs not to be the most important criteria of success, and that some strategies are very strong in a direct confrontation but could still perform poorly on average or are evolutionarily unstable. In this contribution, we present a… 

Figures and Tables from this paper


Iterated Prisoner’s Dilemma contains strategies that dominate any evolutionary opponent
It is shown that there exists no simple ultimatum strategy whereby one player can enforce a unilateral claim to an unfair share of rewards, but such strategies unexpectedly do exist.
A strategy of win-stay, lose-shift that outperforms tit-for-tat in the Prisoner's Dilemma game
Extended evolutionary simulations of heterogeneous ensembles of probabilistic strategies including mutation and selection are presented and the unexpected success of another protagonist: Pavlov is reported, suggesting that cooperative behaviour in natural situations may often be based on win-stay, lose-shift.
Extortion and cooperation in the Prisoner’s Dilemma
In PNAS, Press and Dyson dramatically expand the understanding of this classic game by uncovering strategies that provide a unilateral advantage to sentient players pitted against unwitting opponents.
More Effective Choice in the Prisoner's Dilemma
This study reports and analyzes the results of the second round of the computer tournament for the iterated Prisoner's Dilemma. The object is to gain a deeper understanding of how to perform well in
No Strategy Can Win in the Repeated Prisoner's Dilemma: Linking Game Theory and Computer Simulations
It is argued that the role of mutations or exploration is more important in determining levels of cooperation, and that cognition itself may only have limited impact on the cycling dynamics.
Reinforcement learning produces dominant strategies for the Iterated Prisoner’s Dilemma
We present tournament results and several powerful strategies for the Iterated Prisoner’s Dilemma created using reinforcement learning techniques (evolutionary and particle swarm algorithms). These
The evolution of cooperation.
A model is developed based on the concept of an evolutionarily stable strategy in the context of the Prisoner's Dilemma game to show how cooperation based on reciprocity can get started in an asocial world, can thrive while interacting with a wide range of other strategies, and can resist invasion once fully established.
The Further Evolution of Cooperation
Empirical andoretical work has led to a deeper understanding of the role of other factors in the evolution of cooperation: the number of players, the range of possible choices, variation in the payoff structure, noise, the shadow of the future, population dynamics, and population structure.
Thinking fast and slow.
  • N. McGlynn
  • Psychology
    Australian veterinary journal
  • 2014
Prospect Theory led cognitive psychology in a new direction that began to uncover other human biases in thinking that are probably not learned but are part of the authors' brain’s wiring.