activity
20162026
most citedReinforcement Learning Produces Dominant Strategies for the Iterated Prisoner's Dilemma

57 citations · 97 across the 11 of their papers we have counts for

collaborators

14 papers

cs.GT2026

Characterisation of reactive Nash equilibria in repeated additive games

Franziska Lesigang, Christian Hilbe, Nikoleta E. Glynatsi

In this paper, we study reactive strategies in repeated additive games between two players with finitely many actions. Reactive strategies condition only on the opponent's previous…

cs.GT2025

Reviving, reproducing, and revisiting Axelrod's second tournament

Vincent Knight, Owen Campbell, Marc Harper +2

Direct reciprocity, typically studied using the Iterated Prisoner's Dilemma (IPD), is central to understanding how cooperation evolves. In the 1980s, Robert Axelrod organized two i…

q-bio.PE2025

Exact conditions for evolutionary stability in indirect reciprocity under noise

Nikoleta E. Glynatsi, Christian Hilbe, Yohsuke Murase

Indirect reciprocity is a key mechanism for large-scale cooperation. This mechanism captures the insight that in part, people help others to build and maintain a good reputation. T…

q-bio.PE2024★ 1 cited

The co-evolution of direct, indirect and generalized reciprocity

Saptarshi Pal, Christian Hilbe, Nikoleta E Glynatsi

People often engage in costly cooperation, especially in repeated interactions. When deciding whether to cooperate, individuals typically take into account how others have acted in…

cs.GT2024

Conditional cooperation with longer memory

Nikoleta E. Glynatsi, Martin A. Nowak, Christian Hilbe

Direct reciprocity is a wide-spread mechanism for evolution of cooperation. In repeated interactions, players can condition their behavior on previous outcomes. A well known approa…

physics.soc-ph2023

Evolution of reciprocity with limited payoff memory

Nikoleta E. Glynatsi, Alex McAvoy, Christian Hilbe

Direct reciprocity is a mechanism for the evolution of cooperation in repeated social interactions. According to this literature, individuals naturally learn to adopt conditionally…

cs.GT2020★ 3 cited

Properties of Winning Iterated Prisoner's Dilemma Strategies

Nikoleta E. Glynatsi, Vincent Knight, Marc Harper

Researchers have explored the performance of Iterated Prisoner's Dilemma strategies for decades, from the celebrated performance of Tit for Tat to the introduction of the zero-dete…

cs.GT2019

Using a theory of mind to find best responses to memory-one strategies

Nikoleta E. Glynatsi, Vincent A. Knight

Memory-one strategies are a set of Iterated Prisoner's Dilemma strategies that have been praised for their mathematical tractability and performance against single opponents. This…

physics.soc-ph2019

A bibliometric study of research topics, collaboration and centrality in the Iterated Prisoner's Dilemma

Nikoleta E. Glynatsi, Vincent A. Knight

This manuscript explores the research topics and collaborative behaviour of authors in the field of the Prisoner's Dilemma using topic modeling and a graph theoretic analysis of th…

cs.GT2019★ 3 cited

Recognising and evaluating the effectiveness of extortion in the Iterated Prisoner's Dilemma

Vincent A. Knight, Marc Harper, Nikoleta E. Glynatsi +1

Since the introduction of zero-determinant strategies, extortionate strategies have received considerable interest. While an interesting class of strategies, the definitions of ext…

q-bio.PE2017

An Evolutionary Game Theoretic Model of Rhino Horn Devaluation

Nikoleta E. Glynatsi, Vincent Knight, Tamsin E. Lee

Rhino populations are at a critical level due to the demand for rhino horn and the subsequent poaching. Wildlife managers attempt to secure rhinos with approaches to devalue the ho…

cs.GT2017★ 17 cited

Evolution Reinforces Cooperation with the Emergence of Self-Recognition Mechanisms: an empirical study of the Moran process for the iterated Prisoner's dilemma

Vincent Knight, Marc Harper, Nikoleta E. Glynatsi +1

We present insights and empirical results from an extensive numerical study of the evolutionary dynamics of the iterated prisoner's dilemma. Fixation probabilities for Moran proces…

cs.GT2017★ 57 cited

Reinforcement Learning Produces Dominant Strategies for the Iterated Prisoner's Dilemma

Marc Harper, Vincent Knight, Martin Jones +3

We present tournament results and several powerful strategies for the Iterated Prisoner's Dilemma created using reinforcement learning techniques (evolutionary and particle swarm a…

cs.GT2016★ 16 cited

An open reproducible framework for the study of the iterated prisoner's dilemma

Vincent Knight, Owen Campbell, Marc Harper +19

The Axelrod library is an open source Python package that allows for reproducible game theoretic research into the Iterated Prisoner's Dilemma. This area of research began in the 1…