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2. Knowledge representation and reasoning - Wikipedia

   en.wikipedia.org/wiki/Knowledge_representation...

   Knowledge representation and reasoning (KRR, KR&R, or KR²) is a field of artificial intelligence (AI) dedicated to representing information about the world in a form that a computer system can use to solve complex tasks, such as diagnosing a medical condition or having a natural-language dialog.

3. Symbolic artificial intelligence - Wikipedia

   en.wikipedia.org/wiki/Symbolic_artificial...

   In artificial intelligence, symbolic artificial intelligence (also known as classical artificial intelligence or logic-based artificial intelligence) [1] [2] is the term for the collection of all methods in artificial intelligence research that are based on high-level symbolic (human-readable) representations of problems, logic and search. [3]

4. Frame (artificial intelligence) - Wikipedia

   en.wikipedia.org/.../Frame_(artificial_intelligence)

   A frame language is a technology used for knowledge representation in artificial intelligence. They are similar to class hierarchies in object-oriented languages although their fundamental design goals are different. Frames are focused on explicit and intuitive representation of knowledge whereas objects focus on encapsulation and information ...

5. How IBM Built Watson, Its 'Jeopardy'-Playing Supercomputer - AOL

   www.aol.com/news/2011-02-08-ibm-supercomputer...

   Watson also has the capacity for knowledge representation and reasoning, which is essentially learning by context and employing language flexibility, like the intellectual flexibility needed in ...

6. Knowledge graph embedding - Wikipedia

   en.wikipedia.org/wiki/Knowledge_graph_embedding

   The vector representation of the entities and relations can be used for different machine learning applications. In representation learning, knowledge graph embedding (KGE), also referred to as knowledge representation learning (KRL), or multi-relation learning, [1] is a machine learning task of learning a low-dimensional representation of a ...

7. LOOM (ontology) - Wikipedia

   en.wikipedia.org/wiki/LOOM_(ontology)

   The Loom project's goal is the development and fielding of advanced tools for knowledge representation and reasoning in artificial intelligence. Specifically to enable code to be generated from provably valid domain models. Loom is a language and environment for constructing intelligent applications.

8. Knowledge graph - Wikipedia

   en.wikipedia.org/wiki/Knowledge_graph

   In knowledge representation and reasoning, a knowledge graph is a knowledge base that uses a graph-structured data model or topology to represent and operate on data. Knowledge graphs are often used to store interlinked descriptions of entities – objects, events, situations or abstract concepts – while also encoding the free-form semantics ...

9. Winograd schema challenge - Wikipedia

   en.wikipedia.org/wiki/Winograd_schema_challenge

   The Winograd schema challenge (WSC) is a test of machine intelligence proposed in 2012 by Hector Levesque, a computer scientist at the University of Toronto.Designed to be an improvement on the Turing test, it is a multiple-choice test that employs questions of a very specific structure: they are instances of what are called Winograd schemas, named after Terry Winograd, professor of computer ...