Research Article
Contextual Defeasible Reasoning Framework for Heterogeneous Systems
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@INPROCEEDINGS{10.1007/978-3-030-67101-3_2, author={Salwa Muhammad Akhtar and Hafiz Mahfooz Ul Haque}, title={Contextual Defeasible Reasoning Framework for Heterogeneous Systems}, proceedings={Context-Aware Systems and Applications, and Nature of Computation and Communication. 9th EAI International Conference, ICCASA 2020, and 6th EAI International Conference, ICTCC 2020, Thai Nguyen, Vietnam, November 26--27, 2020, Proceedings}, proceedings_a={ICCASA \& ICTCC}, year={2021}, month={1}, keywords={Multi-context systems Context-awareness Defeasible reasoning Semantic knowledge representation}, doi={10.1007/978-3-030-67101-3_2} }- Salwa Muhammad Akhtar
Hafiz Mahfooz Ul Haque
Year: 2021
Contextual Defeasible Reasoning Framework for Heterogeneous Systems
ICCASA & ICTCC
Springer
DOI: 10.1007/978-3-030-67101-3_2
Abstract
This paper presents a contextual defeasible reasoning based multi-agent formalism to model heterogeneous systems using the notion of a multi-context system. This framework relies on the semantic knowledge sources which allow us to model context-aware non-monotonic reasoning agents to infer the desired goals using the extracted rules from the ontologies and handles inconsistencies using conflicting contextual information. We illustrate the validity and correctness of the proposed formalism using a simple case study of a smart healthcare system with the prototypal implementation of the system.
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