In this paper, we investigate Reinforcement learning (RL) in multi-agent systems (MAS) from an evolutionary dynamical perspective. Typical for a MAS is that the environment is not ...
Karl Tuyls, Pieter Jan't Hoen, Bram Vanschoenwinke...
Open hypermedia systems provide a decoupled approach to structural computing. This entails that the architecture of the systems are made up of user agents that communicate with di...
Software systems of today are characterized by the increasing size, complexity, distribution and heterogeneity. Understanding and supporting the interaction between software requi...
This paper proposes an agent-oriented meta-model that provides rigorous concepts for conducting enterprise modelling. The aim is to allow analysts to produce an enterprise model th...
Abstract. This paper introduces a Generic Language for Interface DEvelopment (GLIDE) that supports the rapid prototyping of Graphical User Interfaces for the Agents Channeling Cont...
Conor Muldoon, Gregory M. P. O'Hare, Rem W. Collie...