Spoken dialogue is notoriously hard to process with standard language processing technologies. Dialogue systems must indeed meet two major challenges. First, natural spoken dialogu...
RVRL (Rule Value Reinforcement Learning) is a new algorithm which extends an existing learning framework that models the environment of a situated agent using a probabilistic rule...
Active rules model and enforce enterprise requirements such as situation monitoring using events, conditions and actions. These rules are termed active rules as they make the unde...
This paper presents a system that controls the behavior of a mobile robot. The system is based on situation calculus, the initial state is described and a goal is given, Prolog pro...
Agents of a multi-agent system (MAS) must synchronize whenever they want to perform simultaneous actions. In situated MASs, typically, the control over such synchronization is cent...