This paper addresses the issue of learning from communication among agents that work in the same domain, are capable of learning from examples, and communicate using an argumentat...
We present an extension to the definition of a concept in an ontology that allows an agent to simultaneously communicate with a group of agents that might have different understa...
In the Markov decision process (MDP) formalization of reinforcement learning, a single adaptive agent interacts with an environment defined by a probabilistic transition function....
This research aims at studying the effects of exchanging information during the learning process in Multiagent Systems. The concept of advice-exchange, introduced in (Nunes and Ol...
There have been numerous attempts to provide a standardized definition of a computational agent, but little consensus has emerged. We propose a simple test for agenthood that can ...