A Hybrid Approach to Representing Shared Conceptualization in Decentralized AI Systems: Integrating Epistemology, Ontology, and Epistemic Logic
A Hybrid Approach to Representing Shared Conceptualization in Decentralized AI Systems: Integrating Epistemology, Ontology, and Epistemic Logic
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表示去中心化人工智能系统中共享概念的混合方法：集成认识论、本体论和认识逻辑
DOI：
10.3390/appliedmath3030032
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发表时间：
2023
期刊：
影响因子：
--
通讯作者：
Idris El
中科院分区：
文献类型：
--
作者：
F. Adhnouss;H. El;K. McIsaac;Idris El
人工智能（AI）系统越来越多地部署在分散的环境中，在那里它们与其他AI系统和人类进行交互。在这些环境中，每个参与者可能有不同的方式来表达相同的语义，从而导致通信和协作方面的挑战。为了解决这些挑战，本文提出了一种新的混合模型，用于分散式AI系统中的共享概念化。该模型集成了本体论、认识论和认识逻辑，为共享概念化的表示和推理提供了一个形式化的框架。它捕获概念化结构的内涵和外延成分，并结合认知逻辑来捕获代理之间的知识和信念关系。该模型的独特贡献在于它能够处理不同的观点和信念，使其特别适合分散的环境。为了证明该模型的实际应用和有效性，它被应用到一个场景中的医疗保健部门。结果表明，该模型有可能通过实现代理之间的有效通信和协作来提高去中心化环境中的AI系统性能。这项研究填补了文献中关于分散环境中共享概念化表示的空白，并为这一领域的未来研究提供了基础。
Artificial Intelligence (AI) systems are increasingly being deployed in decentralized environments where they interact with other AI systems and humans. In these environments, each participant may have different ways of expressing the same semantics, leading to challenges in communication and collaboration. To address these challenges, this paper presents a novel hybrid model for shared conceptualization in decentralized AI systems. This model integrates ontology, epistemology, and epistemic logic, providing a formal framework for representing and reasoning about shared conceptualization. It captures both the intensional and extensional components of the conceptualization structure and incorporates epistemic logic to capture knowledge and belief relationships between agents. The model’s unique contribution lies in its ability to handle different perspectives and beliefs, making it particularly suitable for decentralized environments. To demonstrate the model’s practical application and effectiveness, it is applied to a scenario in the healthcare sector. The results show that the model has the potential to improve AI system performance in a decentralized context by enabling efficient communication and collaboration among agents. This study fills a gap in the literature concerning the representation of shared conceptualization in decentralized environments and provides a foundation for future research in this area.