the right abstractions is important for managing the complexity of your system. Three t abstractions used today are object, component and agent. Many similarities exist these abst...
Dwight Deugo, Franz Oppacher, Bruce Ashfield, Mich...
This paper proposes a mechanism of noise tolerance for reinforcement learning algorithms. An adaptive agent that employs reinforcement learning algorithms may receive and accumula...
Richardson Ribeiro, Alessandro L. Koerich, Fabr&ia...
Agent interactions where the agents hold conflicting goals could be modelled as adversarial argumentation games. In many real-life situations (e.g., criminal litigation, consumer ...
Although many formalisms have been proposed for reasoning about intelligent agents, few of these have been semantically grounded in a concrete computational model. This paper prese...
We study information elicitation mechanisms in which a principal agent attempts to elicit the private information of other agents using a carefully selected payment scheme based o...