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The first problem is the unconditionality of the strategy’s willingness to cooperate once it has been committed to a partner. This property obviously makes commitment highly vulnerable to exploitation by strategies that try to take advantage of its willingness to help. The second problem is that commitment may lose out in competition against more tolerant modifications of strict reciprocity. As the work by Kollock (1993) and others suggests, such modifications may avoid the major weakness of strong reciprocity to disrupt potentially cooperative exchanges too readily when problems occur.

The strength of a tie is obtained by counting the number of interactions that have taken place along that tie. We average the resulting values over all agents to obtain the dyadization measure of the network. A network dyadization of 1, or perfect dyadization, means that every node is connected to exactly one other node. 39 for Strong Commitment. 23. Invasion of cooperators on cooperators In a final test of the relative viability of Commitment compared to Fairness we let Strong Commitment play against Tolerant Fairness in the presence of Defectors.

In the actual implementation, every time an agent has to make a decision, there is also a probability Pe that the agent will make a completely random decision. This random error models noise in communication, misperception of the situation or simply miscalculation of the utility by the agent. Taking this random error into account increases the robustness of our results to noise in general3 . For simplicity, we define the utility as a linear combination of situationspecific parameters weighted by agent-specific parameters.

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