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uncertainity of knowledge information, Lecture notes of Probability and Stochastic Processes

Knowledge representation is a field of artificial intelligence (AI) that focuses on how to formally express information about the world in a way that a computer system can utilize. The goal is to create a structure that enables reasoning and problem-solving. Effective knowledge representation is crucial for building intelligent systems that can understand, learn, and make decisions. Here are some key concepts and approaches in knowledge representation: Ontologies: Ontologies provide a formal and explicit specification of a shared conceptualization of a domain. They define the concepts within a domain and the relationships between them. Ontologies are often used to represent knowledge in a structured and organized manner, facilitating reasoning and inferencing. Frames and Semantic Networks: Frames and semantic networks represent knowledge using nodes (concepts) and links (relationships) between them. Frames typically include slots that represent attributes or properties of a concept

Typology: Lecture notes

2022/2023

Uploaded on 11/21/2023

dr-r-uma-maheswari
dr-r-uma-maheswari 🇮🇳

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