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...
This paper proposes programming constructs to improve the practical application of existing BDI-based agent-oriented programming languages that have formal semantics. The proposed...
Recently, it seems to be interested in the conversational agent as an effective and familiar information provider. Most of conversational agents reply to user’s queries based on ...
Abstract. In most agent programming languages in practice a programmer is committed to the use of a single knowledge representation technology. In this paper we argue this is not n...
Organizational notions such as roles, norms (e.g., obligations and permissions), and services are increasingly viewed as natural concepts to manage the complexity of software devel...
M. Birna van Riemsdijk, Koen V. Hindriks, Catholij...