<p>This contains data used for a paper titled: Evolution Reinforces Cooperation with the Emergence of Self-Recognition Mechanisms: an empirical study of the Moran process for the iterated Prisoner's dilemma using reinforcement learning.</p> <p>Numerous data sets are included, the main being `main.csv` which includes the fixation counts for a number of Moran processes between pairs of players from the Axelrod library.</p> <p>The source code and explanation of the data is here: https://github.com/Axelrod-Python/axelrod-moran. </p> <p> </p
Many species are able to learn to associate behaviours with rewards as this gives fitness advantages...
We are approaching a future where robots and humans will co-exist and co-adapt. To understand how ca...
The cover image visualizes several learning trajectories of Lenient Frequency Adjusted Q-learning in...
<p>This contains data used for a paper titled: Evolution Reinforces Cooperation with the Emergence o...
This contains data used for a paper titled: Reinforcement Learning Produces Dominant Strategies for ...
The evolution of cooperation is an unsolved mystery, which we see in many social and biological syst...
We present insights and empirical results from an extensive numerical study of the evolutionary dyna...
Studies aimed at explaining the evolution of phenotypic traits have often solely focused on fitness ...
We present insights and empirical results from an extensive numerical study of the evolutionary dyna...
Reputational concerns are believed to play a crucial role in explaining cooperative behaviour among ...
The proceeding at: DPG-Frühjahrstagung (SOE: Fachverband Physik sozio-ökonomischer Systeme) = DPG Sp...
Reinforcement learning algorithms applied to social dilemmas sometimes struggle with converging to m...
Cooperative interactions among individuals are ubiquitous despite the possibility of exploitation by...
This document contains Supplemental Information Materials and Methods.Cooperative behaviour lies at ...
Economic experiments have suggested that cooperative humans will altruistically match local levels o...
Many species are able to learn to associate behaviours with rewards as this gives fitness advantages...
We are approaching a future where robots and humans will co-exist and co-adapt. To understand how ca...
The cover image visualizes several learning trajectories of Lenient Frequency Adjusted Q-learning in...
<p>This contains data used for a paper titled: Evolution Reinforces Cooperation with the Emergence o...
This contains data used for a paper titled: Reinforcement Learning Produces Dominant Strategies for ...
The evolution of cooperation is an unsolved mystery, which we see in many social and biological syst...
We present insights and empirical results from an extensive numerical study of the evolutionary dyna...
Studies aimed at explaining the evolution of phenotypic traits have often solely focused on fitness ...
We present insights and empirical results from an extensive numerical study of the evolutionary dyna...
Reputational concerns are believed to play a crucial role in explaining cooperative behaviour among ...
The proceeding at: DPG-Frühjahrstagung (SOE: Fachverband Physik sozio-ökonomischer Systeme) = DPG Sp...
Reinforcement learning algorithms applied to social dilemmas sometimes struggle with converging to m...
Cooperative interactions among individuals are ubiquitous despite the possibility of exploitation by...
This document contains Supplemental Information Materials and Methods.Cooperative behaviour lies at ...
Economic experiments have suggested that cooperative humans will altruistically match local levels o...
Many species are able to learn to associate behaviours with rewards as this gives fitness advantages...
We are approaching a future where robots and humans will co-exist and co-adapt. To understand how ca...
The cover image visualizes several learning trajectories of Lenient Frequency Adjusted Q-learning in...