Adhnouss, F.M.A.; El-Asfour, H.M.A.; McIsaac, K.; El-Feghi, I. A Hybrid Approach to Representing Shared Conceptualization in Decentralized AI Systems: Integrating Epistemology, Ontology, and Epistemic Logic. AppliedMath2023, 3, 601-624.
Adhnouss, F.M.A.; El-Asfour, H.M.A.; McIsaac, K.; El-Feghi, I. A Hybrid Approach to Representing Shared Conceptualization in Decentralized AI Systems: Integrating Epistemology, Ontology, and Epistemic Logic. AppliedMath 2023, 3, 601-624.
Adhnouss, F.M.A.; El-Asfour, H.M.A.; McIsaac, K.; El-Feghi, I. A Hybrid Approach to Representing Shared Conceptualization in Decentralized AI Systems: Integrating Epistemology, Ontology, and Epistemic Logic. AppliedMath2023, 3, 601-624.
Adhnouss, F.M.A.; El-Asfour, H.M.A.; McIsaac, K.; El-Feghi, I. A Hybrid Approach to Representing Shared Conceptualization in Decentralized AI Systems: Integrating Epistemology, Ontology, and Epistemic Logic. AppliedMath 2023, 3, 601-624.
Abstract
The deployment of Artificial Intelligence (AI) systems in decentralized environments is on the rise, yet representation of shared conceptualization in such scenarios remains a challenging issue. The absence of a shared understanding can lead to suboptimal performance of AI systems and hinders the ability to comprehend the knowledge and beliefs of agents in the domain. This paper proposes a formal model for modeling conceptualization in AI systems that integrates ontology, epistemology, and epistemic logic. The model aims to address the gap in representing shared conceptualization in decentralized environments and enhance the performance of AI systems operating in such environments. The proposed model is a hybrid structure that blends extensional and intensional structures and leverages logic-based languages for modeling purposes. A case study in the healthcare sector is presented to illustrate the application of the proposed model. The study contributes to the existing literature by providing a formal model for representing shared conceptualization in decentralized environments, which can be utilized to optimize the performance of AI systems in these environments.
Computer Science and Mathematics, Artificial Intelligence and Machine Learning
Copyright:
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Received:
6 June 2023
Commenter:
Muhamed Alarbi
The commenter has declared there is no conflict of interests.
Comment:
After carefully reviewing the insightful proposal regarding the application of the concept of "Epistemology" in decentralized information systems, I would like to express my wholehearted agreement.
The term "Epistemology", traditionally used in the philosophical domain to denote the study of knowledge and justified belief, finds a compelling application in the context presented. The decentralized information system setting, marked by the existence of numerous ontological views (OVs) instead of a shared ontology, resonates with the core idea of Epistemology, namely understanding the nature, methods, and limits of knowledge.
In this novel context, the concept of "Epistemology" is proposed as a comprehensive structure encompassing a multitude of OVs. It offers crucial insights into the creation, justification, dynamics, and usage patterns of these OVs, thereby reflecting the collective understanding of the system's domain. This perspective is shaped by the ontological commitments of individual entities within the system.
I see this application of "Epistemology" as an intelligent approach to grasp, manage, and utilize the inherent complexities of decentralized systems. By facilitating an advanced level of analysis of the system's semantic structure, it can significantly aid in crucial tasks such as conflict resolution, consensus formation, and data integration.
In conclusion, I am in complete agreement with the proposal and its formal definition of "Epistemology" in the context of decentralized information systems. I believe that this concept will pave the way for a more nuanced understanding of such systems, leading to efficient and effective management of their semantic structure.
Received:
13 June 2023
The commenter has declared there is no conflict of interests.
Comment:
This article makes a significant contribution to the existing literature by offering a formal model specifically designed to represent shared conceptualization in decentralized environments. This model has the potential to optimize the performance of AI systems in such settings, improving their efficiency, accuracy, and overall effectiveness. Overall, the paper's combination of theoretical foundation, practical demonstration, and clear presentation make it a valuable resource for researchers and practitioners in the field of AI, decentralization, and knowledge representation. The proposed hybrid approach paves the way for further advancements in representing shared conceptualization and has the potential to greatly benefit AI systems operating in decentralized environments.
Commenter: Muhamed Alarbi
The commenter has declared there is no conflict of interests.
The term "Epistemology", traditionally used in the philosophical domain to denote the study of knowledge and justified belief, finds a compelling application in the context presented. The decentralized information system setting, marked by the existence of numerous ontological views (OVs) instead of a shared ontology, resonates with the core idea of Epistemology, namely understanding the nature, methods, and limits of knowledge.
In this novel context, the concept of "Epistemology" is proposed as a comprehensive structure encompassing a multitude of OVs. It offers crucial insights into the creation, justification, dynamics, and usage patterns of these OVs, thereby reflecting the collective understanding of the system's domain. This perspective is shaped by the ontological commitments of individual entities within the system.
I see this application of "Epistemology" as an intelligent approach to grasp, manage, and utilize the inherent complexities of decentralized systems. By facilitating an advanced level of analysis of the system's semantic structure, it can significantly aid in crucial tasks such as conflict resolution, consensus formation, and data integration.
In conclusion, I am in complete agreement with the proposal and its formal definition of "Epistemology" in the context of decentralized information systems. I believe that this concept will pave the way for a more nuanced understanding of such systems, leading to efficient and effective management of their semantic structure.
The commenter has declared there is no conflict of interests.