Abstract
Trust is usually viewed at an individual level in the sense of an agent having trust in a certain trustee. It can also be considered at a population level, in the sense of how much trust for a certain trustee exists in a given population or group of agents. The dynamics of trust states over time can be modelled per individual in an agent-based manner. These individual trust states can be aggregated to obtain the trust state of the population. However, in an alternative way trust dynamics can be modelled from a population perspective as well. Such a population-level model is much more efficient computationally. In this paper both ways of modelling are investigated and it is analyzed how close they can approximate each other. This is done both by simulation experiments and by mathematical analysis. It is shown that the approximation can be reasonably accurate, and for larger numbers of agents even quite accurate.
Work presented in this paper is a significant extension of the work published in Jaffry, S.W., and Treur, J., Modelling Trust for Communicating Agents: Agent-Based and Population- Based Perspectives. In: Jedrzejowicz, P., Nguyen, N.T., Hoang, K. (eds.), Proceedings of the Third International Conference on Computational Collective Intelligence, ICCCI’11, Part I. Lecture Notes in Artificial Intelligence, vol. 6922. Springer Verlag, 2011, pp. 366-377.
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Jaffry, S.W., Treur, J. (2013). Agent-Based and Population-Based Modeling of Trust Dynamics. In: Nguyen, N.T. (eds) Transactions on Computational Collective Intelligence IX. Lecture Notes in Computer Science, vol 7770. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-36815-8_6
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DOI: https://doi.org/10.1007/978-3-642-36815-8_6
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