Multi-Context Systems: Dynamics and Evolution (Pre-Print of "Multi-context systems in dynamic environments")
Artificial Intelligence
2021-06-15 v1
Abstract
Multi-Context Systems (MCS) model in Computational Logic distributed systems composed of heterogeneous sources, or "contexts", interacting via special rules called "bridge rules". In this paper, we consider how to enhance flexibility and generality in bridge-rules definition and application. In particular, we introduce and discuss some formal extensions of MCSs useful for a practical use in dynamic environments, and we try to provide guidelines for implementations
Keywords
Cite
@article{arxiv.2106.06780,
title = {Multi-Context Systems: Dynamics and Evolution (Pre-Print of "Multi-context systems in dynamic environments")},
author = {Pedro Cabalar and Stefania Costantini and Giovanni De Gasperis and Andrea Formisano},
journal= {arXiv preprint arXiv:2106.06780},
year = {2021}
}
Comments
35 pages 2 figures