Mobile agents must be prepared to execute on different hosts and therefore in different execution environments. Even when a homogenous exenvironment is offered by abstracting th...
Effective norms, emerging from sustained individual interactions over time, can complement societal rules and significantly enhance performance of individual agents and agent soci...
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 paper describes a new approach for the creation of an adaptive system able to selectively combine dynamic multidimensional information sources to perform state estimation. T...
In this paper we present an adaptive architecture for interaction and dialogue management in spoken dialogue applications. This architecture is targeted for applications that adapt...