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A NetLogo Agent Based Model extending Smaldino's (2013) Spatial Prisoner's Dilemma by incorporating reciprocating agents.

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TrustSim

Baseline Ecosystem Tit-for-tat

Authors: rsmarincu, HartBlanc

This repo extends the model presented by Smaldino (2013) to answer whether, and under what circumstances, an element of reciprocity, or earned trust, is beneficial to cooperative agents. This report extends the Spatial Prisoner’s Dilemma game to include adaptive agents which choose to co-operate more frequently if their past interactions indicate that partners will reciprocate. We test the hypothesis that an increase in the initial proportion of adaptive agents significantly decreases the long-term proportion of rational agents. We also explore the effect of using both long and short term memory.

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A NetLogo Agent Based Model extending Smaldino's (2013) Spatial Prisoner's Dilemma by incorporating reciprocating agents.

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