—Multi-robot reinforcement learning is a very challenging area due to several issues, such as large state spaces, difficulty in reward assignment, nondeterministic action selecti...
Our work presents a mechanism designed for the selection of the optimal information provider in a multi-agent, heterogeneous and unsupervised monitoring system. The selfadaptation...
We present a simple model of distributed multi-agent multi-issued contract negotiation for open systems where interactions are competitive and information is private and not shared...
Peyman Faratin, Mark Klein, Hiroki Sayama, Yaneer ...
Abstract. The design of reactive systems must comply with logical correctness (the system does what it is supposed to do) and timeliness (the system has to satisfy a set of tempora...
This paper presents an approach for building consensus ontologies from the individual ontologies of a network of socially interacting agents. Each agent has its own conceptualizat...