1. Simulating social dynamics : a computer aided analysis of emergent behaviour in multi-agent systems
- Author
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Carver, Alexander Nicholas and Turrini, Paolo
- Abstract
There is an existing gap in the literature and research in computational social dynamics in examining the role of the motivations and aims of agents in existing social models, in particular in regards to how available information, and the amount of information, is utilised by different agents to achieve their aims. Instead, agent behaviour is largely operated via simplistic rules imposed by the global model that do not take the agent's distinct motivations or available information into account. My research has sought to counteract this trend in the existing research. I have done this by critically examining the assumptions of commonly used models such as the Schelling Segregation model, or concepts such as strategyproofness in peer review systems, and demonstrating that assumptions made about such behaviour or the utility of such concepts are not as solid as they may appear, showing that the Schelling segregation model does not necessarily impose global segregation, and that strategyproofness may be an unnecessarily strong condition when the incomplete information and motivations of manipulating agents is taken into account. Based on these results, I have combined these into an approach of examining the role of information and agent motivations in segregation models, which I feel has not been subject to sufficient scrutiny in existing segregation models. Therefore I have proposed two new models of segregation, the first of which examines how the varied motivations of agents may be more complex than simply desiring homophilous groupings and seeks to replicate intra-type segregation based on a "segregation by association". The second segregation model I propose then studies the role of incomplete information in segregation, and in basing itself on the result from study on incomplete information in peer review, argues that in a similar manner, we must examine how agents take decisions with incomplete information, and that socially sub-optimal segregation could be explained by biases these agents operate upon in the absence of complete information. Overall, I hope that my research demonstrates the need for social dynamicists to critically question the assumptions we make and put into models regarding how the behaviour of agents relate to their motivations of agents and their available information, and if we can design models and theories that explain social behaviour that take these questions into account.
- Published
- 2023
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