Search results
Knowledge representation and reasoning (KR, KRR) is the part of Artificial intelligence which concerned with AI agents thinking and how thinking contributes to intelligent behavior of agents.
Mar 30, 2024 · The process of encoding information in a way that an AI system can comprehend and use is known as knowledge representation in AI. It entails converting information and ideas from the real world into a form that computers can use, analyze, and make conclusions from.
May 27, 2024 · In artificial intelligence and computational logic, two fundamental types of logic are widely used for knowledge representation: propositional logic and first-order logic. These logical systems provide the foundation for constructing and manipulating knowledge in a formal and precise manner.
May 21, 2023 · Knowledge representation is a fundamental concept in artificial intelligence (AI) that involves creating models and structures to represent information and knowledge in a way that intelligent systems can use.
May 24, 2023 · Knowledge representation is the process of representing information in a structured form that is easily understood by both humans and machines. It is a fundamental task in artificial intelligence (AI) and computer science that involves organizing knowledge into a form that can be used for reasoning, problem-solving, and decision-making.
What is Knowledge Representation in AI? Types of Knowledge. Methods of Knowledge Representation. 1. Semantic Networks. 2. Frames. 3. Rule-Based Systems. 4. Ontologies. 5. Logic-Based Representations. 6. Probabilistic Representations. Applications of Knowledge Representation. 1. Natural Language Processing (NLP) 2. Expert Systems. 3. Robotics. 4.
The ability to create representations of the domain of interest and reason with these representations is a key to intelligence. In this course we explore a variety of representation formalisms and the associated algorithms for reasoning.
