Multiagent Collaborative Search with Self-Interested Agents
Ryuki Shimoji and Chiaki Sakama
Proceedings of the
IEEE/WIC/ACM International Conference on Intelligent Agent Technology (IAT'15), 2015.
This paper presents an experimental study on collaborative search by distributed autonomous agents.
We consider a problem such that multiple agents search for target objects in a field, and
communicate with each other to exchange information of objects.
Agents have six different strategies: cooperative, skeptical, free rider, liar, skeptical liar and solitary.
These strategies characterize behaviors of agents for transmitting/receiving information in different ways.
We observe the effect of self-interested agents who act non-cooperatively or even act deceptively to increase their own profits. We identify situations in which self-interested agents have advantages
and investigate conditions which are effective to suppress the development of self-interested agents.
Full Paper (PDF 256K)