We propose a computational model that facilitates agents in a MAS to collaboratively evolve their norms to reach the best norm conventions. Our approach borrows from the social con...
Developing the ability to comprehensively study infections in small populations enables us to improve epidemic models and better advise individuals about potential risks to their h...
— Static resources allocation problems have been widely studied. More recently some of this attention has changed to focus on dynamic problems, where problem specifications, con...
Abstract. Artificial systems with a high degree of autonomy require reliable semantic information about the context they operate in. State interpretation, however, is a difficult ...
Daniel Meyer-Delius, Christian Plagemann, Georg vo...
Multi-agent simulations aim at representing the dynamics of complex systems as resulting from multiple interactions between autonomous entities including their own perception of lo...