Multi-Context Systems: Dynamics and Evolution (Pre-Print of "Multi-context systems in dynamic environments")
Pedro Cabalar, Stefania Costantini, Giovanni De Gasperis and, Andrea Formisano

TL;DR
This paper extends Multi-Context Systems to better handle dynamic environments by introducing formal enhancements to bridge-rules, aiming to improve flexibility and applicability in real-world distributed systems.
Contribution
It proposes formal extensions to MCS bridge-rules, enhancing their flexibility and generality for dynamic, heterogeneous environments.
Findings
Enhanced bridge-rules for better adaptability
Guidelines for implementing extended MCS in practice
Improved handling of dynamic information sources
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
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Taxonomy
TopicsLogic, Reasoning, and Knowledge · Semantic Web and Ontologies · Data Management and Algorithms
