Multi-agent systems are in general hard to model and control due their complex nature involving many individuals. Numerous approaches focus on empirical algorithmic aspects of approximating outcomes behavior multi-agent lack a rigorous theoretical foundation. Graphon mean field games (GMFGs) the other hand provide mathematically well-founded numerically scalable framework for large number conne...

Depending on the representation setting, different combination rules have been proposed for fusing information from distinct sources. Moreover in each setting, different sets of axioms that combination rules should satisfy have been advocated, thus justifying the existence of alternative rules (usually motivated by situations where the behavior of other rules was found unsatisfactory). These se...

This paper proposes a semi-automatic three step information scoring process that starts from constructs representing structured pieces of information and a user query. It first identifies the constructs relevant to answer the user question, based on their similarity to the query. The relevant items are then individually scored, taking into account both the reliability of their source and the ce...