### Abstract

This article is a report on computer simulation experiments based on our new agent-based simulation tool to model social situations for the case of large numbers of not necessarily rational decision-makers. It is a simulation of the multiagent Prisoners' Dilemma game for realistic (nondyadic) interactions between agents with various personalities. Our model has a number of user-defined parameters such as the size and shape of the simulation environment, the definition of neighborhood, the payoff (reward/penalty) functions, the learning rules, the agents' personalities, and the initial conditions. We have performed a series of simulation experiments with various combinations of these parameters. For the case of one class of agents we found two distinctly different nontrivial but remarkably regular solutions. For a wide range of initial conditions, the number of cooperators oscillates around a relatively small value. When the initial aggregate cooperation probability is above a certain value, the solutions tend to reach well-defined constant values that are dependent on the initial values. For other types of agents the solutions show interesting chaos-like behavior. The article provides some insight into the conditions of decentralized cooperation in spatially distributed populations of agents.

Original language | English (US) |
---|---|

Pages (from-to) | 829-846 |

Number of pages | 18 |

Journal | Systems Analysis Modelling Simulation |

Volume | 43 |

Issue number | 6 |

DOIs | |

State | Published - Jan 1 2003 |

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### Keywords

- Agent-based simulation
- Cooperation
- Prisoners' Dilemma

### ASJC Scopus subject areas

- Applied Mathematics
- Modeling and Simulation

### Cite this

**Simulation of multi-agent Prisoners' Dilemmas.** / Szilagyi, Miklos N.

Research output: Contribution to journal › Article

*Systems Analysis Modelling Simulation*, vol. 43, no. 6, pp. 829-846. https://doi.org/10.1080/0232929021000055488

}

TY - JOUR

T1 - Simulation of multi-agent Prisoners' Dilemmas

AU - Szilagyi, Miklos N

PY - 2003/1/1

Y1 - 2003/1/1

N2 - This article is a report on computer simulation experiments based on our new agent-based simulation tool to model social situations for the case of large numbers of not necessarily rational decision-makers. It is a simulation of the multiagent Prisoners' Dilemma game for realistic (nondyadic) interactions between agents with various personalities. Our model has a number of user-defined parameters such as the size and shape of the simulation environment, the definition of neighborhood, the payoff (reward/penalty) functions, the learning rules, the agents' personalities, and the initial conditions. We have performed a series of simulation experiments with various combinations of these parameters. For the case of one class of agents we found two distinctly different nontrivial but remarkably regular solutions. For a wide range of initial conditions, the number of cooperators oscillates around a relatively small value. When the initial aggregate cooperation probability is above a certain value, the solutions tend to reach well-defined constant values that are dependent on the initial values. For other types of agents the solutions show interesting chaos-like behavior. The article provides some insight into the conditions of decentralized cooperation in spatially distributed populations of agents.

AB - This article is a report on computer simulation experiments based on our new agent-based simulation tool to model social situations for the case of large numbers of not necessarily rational decision-makers. It is a simulation of the multiagent Prisoners' Dilemma game for realistic (nondyadic) interactions between agents with various personalities. Our model has a number of user-defined parameters such as the size and shape of the simulation environment, the definition of neighborhood, the payoff (reward/penalty) functions, the learning rules, the agents' personalities, and the initial conditions. We have performed a series of simulation experiments with various combinations of these parameters. For the case of one class of agents we found two distinctly different nontrivial but remarkably regular solutions. For a wide range of initial conditions, the number of cooperators oscillates around a relatively small value. When the initial aggregate cooperation probability is above a certain value, the solutions tend to reach well-defined constant values that are dependent on the initial values. For other types of agents the solutions show interesting chaos-like behavior. The article provides some insight into the conditions of decentralized cooperation in spatially distributed populations of agents.

KW - Agent-based simulation

KW - Cooperation

KW - Prisoners' Dilemma

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UR - http://www.scopus.com/inward/citedby.url?scp=33746327430&partnerID=8YFLogxK

U2 - 10.1080/0232929021000055488

DO - 10.1080/0232929021000055488

M3 - Article

VL - 43

SP - 829

EP - 846

JO - Systems Analysis Modelling Simulation

JF - Systems Analysis Modelling Simulation

SN - 0232-9298

IS - 6

ER -