In this paper, we consider the effects of trust and conventions on the evolution of a multi-agent system. To do so, we provide a simulation in which agents are able to use a trust mechanism to select interaction partners, and a learning mechanism that leads to convention emergence. We examine the impacts on the system of: different network topologies; the presence or absence of malicious agents; and the presence or absence of the trust and learning system. Our results indicate that while trust has a slight positive impact on the rate of convergence emergence, its main benefit arises when malicious agents are present in the system.
|Title of host publication||Proceedings of the 16th International Workshop on Trust in Agent Societies (TRUST13)|
|Number of pages||12|
|Publication status||Published - May 2013|
|Event||16th International Workshop on Trust in Agent Societies (TRUST 2013) - Minnesota, St Paul, United States|
Duration: 7 May 2013 → …
|Conference||16th International Workshop on Trust in Agent Societies (TRUST 2013)|
|Period||7/05/13 → …|