A Complexity Framework for Consensus and Conflict

A Complexity Framework for Consensus and Conflict

Peter Mitic 

Santander UK, 2 Triton Square, Regent’s Place, London NW1 3AN Dept. of Computer Science, UCL, Gower Street, London WC1E 6BT Laboratoire d’Excellence sur la Régulation Financière, Paris

Page: 
281-293
|
DOI: 
https://doi.org/10.2495/DNE-V13-N3-281-293
Received: 
N/A
|
Accepted: 
N/A
|
Published: 
30 August 2018
| Citation

OPEN ACCESS

Abstract: 

Consensus and conflict are modelled in the context of interacting pairs of agents who may have very diverging sentiments regarding some particular issue. simulations using the model display character- istics of complexity. Agents are modelled using Beta probability density functions whose parameters determine the agent’s opinion and resistance to change after an interaction, and a third independent parameter that determines the agent’s influence. interactions among groups of agents with both aligned and opposing sentiments are simulated. the results indicate that in most cases a form of consensus is reached eventually, but for opposed agents, it is not possible to tell which agents that consensus will favour. proofs of convergence are given in the cases where the initial state is one of consensus, and when it is one of conflict.

Keywords: 

beta distribution, conflict, consensus, convergence, influence, resistance, sentiment, simulation

1. Introduction
2. Previous work on Crowds, Conflict and Consensus
3. Agents and Agent Interaction
4. Simulation Results
5. Discussion and Summary
Appendix A
Appendix B
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