The distributed ASCI Supercomputer project
ACM SIGOPS Operating Systems Review
Decision Support Systems - Special issue: Formal modeling and electronic commerce
Agent-Based Modeling vs. Equation-Based Modeling: A Case Study and Users' Guide
Proceedings of the First International Workshop on Multi-Agent Systems and Agent-Based Simulation
Formal Analysis of Models for the Dynamics of Trust Based on Experiences
MAAMAW '99 Proceedings of the 9th European Workshop on Modelling Autonomous Agents in a Multi-Agent World: MultiAgent System Engineering
Trust Dynamics: How Trust Is Influenced by Direct Experiences and by Trust Itself
AAMAS '04 Proceedings of the Third International Joint Conference on Autonomous Agents and Multiagent Systems - Volume 2
Review on Computational Trust and Reputation Models
Artificial Intelligence Review
The Knowledge Engineering Review
Dynamic Models in Biology
A survey of trust and reputation systems for online service provision
Decision Support Systems
The Influence of Personalities Upon the Dynamics of Trust and Reputation
CSE '09 Proceedings of the 2009 International Conference on Computational Science and Engineering - Volume 03
Personalised and dynamic trust in social networks
Proceedings of the third ACM conference on Recommender systems
Comparing a Cognitive and a Neural Model for Relative Trust Dynamics
ICONIP '09 Proceedings of the 16th International Conference on Neural Information Processing: Part I
Modeling and mining of dynamic trust in complex service-oriented systems
Information Systems
Engaging the dynamics of trust in computational trust and reputation systems
KES-AMSTA'10 Proceedings of the 4th KES international conference on Agent and multi-agent systems: technologies and applications, Part I
A temporal-interactivist perspective on the dynamics of mental states
Cognitive Systems Research
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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.