Although well understood in the single-agent framework, the use of traditional reinforcement learning (RL) algorithms in multi-agent systems (MAS) is not always justified. The fe...
This work proposes a framework for the design and development of Ontology Agents oriented to manage Rule Base Fuzzy Cognitive Maps (RBFCM). The approach takes into account the foun...
We describe a framework and equations used to model and predict the behavior of multi-agent systems (MASs) with learning agents. A difference equation is used for calculating the ...
: A growing demand for distributed and decentralized software, together with an increasing inherent complexity of these systems challenges traditional software engineering practice...
Models and conceptualizations are necessary to understand and design ubiquitous systems that are context–aware not just from a technological point of view. The current technologi...