Multiagent Inductive Learning is the problem that groups of agents face when they want to perform inductive learning, but the data of interest is distributed among them. This pape...
Multi-algebras allow to model nondeterminism in an algebraic framework by interpreting operators as functions from individual arguments to sets of possible results. We propose a s...
Andrea Corradini, Fabio Gadducci, Wolfram Kahl, Ba...
Achieving and assessing conformity with standards and compliance with various sets of requirements generates significant costs for contemporary economies. Great deal of this is sp...
This paper proposes a framework for ontology-based design support systems, called DRIFT (Design Rationale Integration Framework of Three layers), which records, structures and retr...
We present a general framework for defining nonmonotonic systems based on the notion of preferred maximal consistent subsets of the premises. This framework subsumes David Poole...