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...
It has long been accepted that requirements analysis should precede architectural design and implementation, but in software evolution and reverse engineering this concern with bl...
This paper discusses a general architecture for intelligent software agents. It can be used to construct agents that engage in high-level reasoning by employing standard reasoning...
Mengqiu Wang, Martin K. Purvis, Mariusz Nowostawsk...
This paper describes our work constructing a generalized framework for modeling multi agent interactions in education-related applications. Historically, interactive learning syst...
The Rule Responder project (responder.ruleml.org) extends the Semantic Web towards a Pragmatic Web infrastructure for collaborative human-computer networks. These allow semi-autom...
Adrian Paschke, Harold Boley, Alexander Kozlenkov,...