Abstract. One of the main questions concerning learning in a Multi-Agent System's environment is: "(How) can agents benefit from mutual interaction during the learning pr...
In this paper, we propose an efficient mechanism dealing with trust assessment for agent societies, aiming to accurately assess the trustworthiness of the collaborating agents. I...
Many clustering methods are based on flat descriptions, while data regarding real-world domains include heterogeneous objects related to each other in multiple ways. For instance,...
Grazia Bombini, Nicola Di Mauro, Stefano Ferilli, ...
Logic Programming Update Languages were proposed as an extension of logic programming, which allow for modelling the dynamics of knowledge bases where both extensional knowledge (...
There are many studies on ABS and several frameworks for ABS have already been published. However, there are few frameworks that can enable agent-based simulation using large numb...