Bayesian inference is an appealing approach for leveraging prior knowledge in reinforcement learning (RL). In this paper we describe an algorithm for discovering different classes...
Most existing dialogue systems have been developed specifically for some predefined task domain(s), thus the issues of extensibility and reuse of the dialogue model are often no...
In this paper, we extend our earlier work on modelling the mental states of PRS-like agents by considering the dynamics of belief and modelling of action attempts. The major constr...
In this article we describe a computational architecture called MC2 that brings together a set of tools that contribute to the knowledge management process by allowing for the cre...
In many domains, agent-based system modeling competes with equation-based approaches that identify system variables and evaluate or integrate sets of equations relating these varia...