[Tweets]

19/10/2017 3:35pm
Our paper "Behaviour-Data Relations Modeling Language For Multi- #Robot Control Algorithms" now available to read!… [LINK]
18/10/2017 2:15pm
LEGO's new Women of NASA kit. Great learning for both kids and adults @LEGOIdeas [LINK] [LINK]
17/10/2017 11:01am
Nice open-call #reserch #fellowships programmes at LMU Munich [LINK]
16/10/2017 3:09pm
#robots that can merge and split their collective architecture (but the article title is preposterous @IEEESpectrum) [LINK]
13/10/2017 1:46pm
RT @MMGiuliani: First demo of our new human-robot interaction setup. Come visit us at @BristolRobotLab to have a look 😀. [LINK]

[Neural Networks and Evolution of Cooperation]

Date: Jan 2011
Tags: Java :: AI :: A-Life :: neural networks

The paper investigates artificial evolution of cooperation in the Iterated Prisoner's Dilemma using a number of player implementations. Existing strategy encoding and neural network models are compared with action-discriminating neural network created during writing of this paper.

Evaluation is performed in terms of number of generations needed for reaching a desired cooperation level as well as the nature of evolved strategies. Examples when the action-discriminating model evolved the most beneficent strategies are given.

Keywords:
Iterated Prisoner's Dilemma, evolution of cooperation, strategies, interaction, neural networks
DOWNLOAD PAPERRUN JAVA APPLETDOWNLOAD CODE


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