We consider a resource access control scenario in an open multi-agent system. We specify a mutable set of rules to determine how resource allocation is decided, and minimally assum...
The generalization of policies in reinforcement learning is a main issue, both from the theoretical model point of view and for their applicability. However, generalizing from a se...
With a left-continuous t-norm , we may associate the set of its vertical cuts, namely, the set F of functions fa : [0, 1] → [0, 1], x → x a. Endowed with the pointwise order, ...
Abstract. We study Winner-Takes-All and rank based Vector Quantization along the lines of the statistical physics of off-line learning. Typical behavior of the system is obtained w...
In many real-world collective decision problems, the set of alternatives is a Cartesian product of finite value domains for each of a given set of variables. The prohibitive size...