We study how decentralized agents can develop a shared vocabulary without global coordination. Answering this question can help us understand the emergence of many communication s...
This paper presents the Dsml4mas Development Environment (DDE) which is a model-driven framework for the development of multiagent systems based on the Domain Specific Modeling L...
One of the very interesting properties of Reinforcement Learning algorithms is that they allow learning without prior knowledge of the environment. However, when the agents use al...
In this paper the internal dynamics of mental states, in particular states based on beliefs, desires and intentions, is formalised using a temporal language. A software environment...
Catholijn M. Jonker, Jan Treur, Wouter C. A. Wijng...
In this paper we develop a language of mobile agents called uPLAN for describing the capabilities of active (programmable) networks. We use a formal semantics for uPLAN to demonst...