An important issue in reinforcement learning is how to incorporate expert knowledge in a principled manner, especially as we scale up to real-world tasks. In this paper, we presen...
Eric Wiewiora, Garrison W. Cottrell, Charles Elkan
The vulnerable air interface, device level constraints, and insecure encryption techniques of wireless networks have naturally increased the chance of attacker obtaining users inf...
A key challenge for agent architectures and programming paradigms is to account for defeasible reasoning over mental attitudes and to provide associated conflict resolution mechan...
As third party logistic services become popular, the role of software agents increases in importance in terms of the logistics scheduling of buyers and sellers. To support many mo...
Abstract. This paper overviews our currently in progress agent communication language simulator, called DIAGAL, by describing its use in analyzing and modelling automated conversat...