Search results
Results from the WOW.Com Content Network
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.
Frames are the primary data structure used in artificial intelligence frame languages; they are stored as ontologies of sets. Frames are also an extensive part of knowledge representation and reasoning schemes. They were originally derived from semantic networks and are therefore part of structure-based knowledge representations.
Knowledge representation is closely linked to automatic reasoning because the purpose of knowledge representation formalisms is usually to construct a knowledge base from which inferences are drawn. [211] Influential knowledge base formalisms include logic-based systems, rule-based systems, semantic networks, and frames.
Human cognition is conscious and unconscious, concrete or abstract, as well as intuitive (like knowledge of a language) and conceptual (like a model of a language). It encompasses processes such as memory , association , concept formation , pattern recognition , language , attention , perception , action , problem solving , and mental imagery .
Classification chart with the original "figurative system of human knowledge" tree, in French. The "figurative system of human knowledge" (French: Système figuré des connaissances humaines), sometimes known as the tree of Diderot and d'Alembert, was a tree developed to represent the structure of knowledge itself, produced for the Encyclopédie by Jean le Rond d'Alembert and Denis Diderot.
The knowledge base represents facts about the world. In early expert systems such as Mycin and Dendral, these facts were represented mainly as flat assertions about variables. In later expert systems developed with commercial shells, the knowledge base took on more structure and used concepts from object-oriented programming.
Class (knowledge representation) Closed-world assumption; Cognitive categorization; Cognitive map; Colon classification; Completeness (knowledge bases) Composite Capability/Preference Profiles; Composite portrait; Computer Science Ontology; Concept map; Concepticon; Conceptual graph; Conceptualization (information science) Consistency ...
The classical model of symbolism is characterized by (1) a combinatorial syntax and semantics of mental representations and (2) mental operations as structure-sensitive processes, based on the fundamental principle of syntactic and semantic constituent structure of mental representations as used in Fodor's "Language of Thought (LOT)".