Knowledge representation and reasoning, the Glossary
Knowledge representation and reasoning (KRR, KR&R, KR²) is the 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 dialog in a natural language.[1]
Table of Contents
106 relations: A* search algorithm, Advice taker, Allen Newell, Alphabet of human thought, Artificial intelligence, Artificial Intelligence: A Modern Approach, Association for the Advancement of Artificial Intelligence, Automated reasoning, Automated theorem proving, Backward chaining, Belief revision, Boolean satisfiability problem, Brian Cantwell Smith, Chunking (psychology), Closed-world assumption, Cognitive revolution, Common Lisp Object System, Commonsense knowledge (artificial intelligence), Commonsense reasoning, Completeness (logic), Computer-aided diagnosis, Conceptual graph, Cordell Green, Cyc, CycL, DARPA, DATR, Declarative programming, Default logic, DIKW pyramid, Edward Feigenbaum, Existential quantification, Expert system, First-order logic, FO(.), Formal system, Forward chaining, Frame (artificial intelligence), Frame problem, Functional completeness, Fuzzy logic, General Problem Solver, Hector Levesque, Herbert A. Simon, Horn clause, Inference engine, Information, IntelliCorp (software), Is-a, John Alan Robinson, ... Expand index (56 more) »
- Automated reasoning
- Intelligence assessment
- Scientific modelling
A* search algorithm
A* (pronounced "A-star") is a graph traversal and pathfinding algorithm, which is used in many fields of computer science due to its completeness, optimality, and optimal efficiency.
See Knowledge representation and reasoning and A* search algorithm
Advice taker
The advice taker was a hypothetical computer program, proposed by John McCarthy in his 1959 paper "Programs with Common Sense".
See Knowledge representation and reasoning and Advice taker
Allen Newell
Allen Newell (March 19, 1927 – July 19, 1992) was an American researcher in computer science and cognitive psychology at the RAND Corporation and at Carnegie Mellon University's School of Computer Science, Tepper School of Business, and Department of Psychology.
See Knowledge representation and reasoning and Allen Newell
Alphabet of human thought
The alphabet of human thought (alphabetum cogitationum humanarum) is a concept originally proposed by Gottfried Wilhelm Leibniz that provides a universal way to represent and analyze ideas and relationships by breaking down their component pieces.
See Knowledge representation and reasoning and Alphabet of human thought
Artificial intelligence
Artificial intelligence (AI), in its broadest sense, is intelligence exhibited by machines, particularly computer systems.
See Knowledge representation and reasoning and Artificial intelligence
Artificial Intelligence: A Modern Approach
Artificial Intelligence: A Modern Approach (AIMA) is a university textbook on artificial intelligence, written by Stuart J. Russell and Peter Norvig.
See Knowledge representation and reasoning and Artificial Intelligence: A Modern Approach
Association for the Advancement of Artificial Intelligence
The Association for the Advancement of Artificial Intelligence (AAAI) is an international scientific society devoted to promote research in, and responsible use of, artificial intelligence.
Automated reasoning
In computer science, in particular in knowledge representation and reasoning and metalogic, the area of automated reasoning is dedicated to understanding different aspects of reasoning.
See Knowledge representation and reasoning and Automated reasoning
Automated theorem proving
Automated theorem proving (also known as ATP or automated deduction) is a subfield of automated reasoning and mathematical logic dealing with proving mathematical theorems by computer programs. Knowledge representation and reasoning and automated theorem proving are automated reasoning.
See Knowledge representation and reasoning and Automated theorem proving
Backward chaining
Backward chaining (or backward reasoning) is an inference method described colloquially as working backward from the goal. Knowledge representation and reasoning and backward chaining are automated reasoning.
See Knowledge representation and reasoning and Backward chaining
Belief revision
Belief revision (also called belief change) is the process of changing beliefs to take into account a new piece of information. Knowledge representation and reasoning and belief revision are knowledge representation.
See Knowledge representation and reasoning and Belief revision
Boolean satisfiability problem
In logic and computer science, the Boolean satisfiability problem (sometimes called propositional satisfiability problem and abbreviated SATISFIABILITY, SAT or B-SAT) is the problem of determining if there exists an interpretation that satisfies a given Boolean formula.
See Knowledge representation and reasoning and Boolean satisfiability problem
Brian Cantwell Smith
Brian Cantwell Smith is a philosopher and cognitive scientist working in the fields of cognitive science, computer science, information science, and philosophy, especially ontology.
See Knowledge representation and reasoning and Brian Cantwell Smith
Chunking (psychology)
In cognitive psychology, chunking is a process by which small individual pieces of a set of information are bound together to create a meaningful whole later on in memory.
See Knowledge representation and reasoning and Chunking (psychology)
Closed-world assumption
The closed-world assumption (CWA), in a formal system of logic used for knowledge representation, is the presumption that a statement that is true is also known to be true. Knowledge representation and reasoning and closed-world assumption are knowledge representation.
See Knowledge representation and reasoning and Closed-world assumption
Cognitive revolution
The cognitive revolution was an intellectual movement that began in the 1950s as an interdisciplinary study of the mind and its processes, from which emerged a new field known as cognitive science.
See Knowledge representation and reasoning and Cognitive revolution
Common Lisp Object System
The Common Lisp Object System (CLOS) is the facility for object-oriented programming in ANSI Common Lisp.
See Knowledge representation and reasoning and Common Lisp Object System
Commonsense knowledge (artificial intelligence)
In artificial intelligence research, commonsense knowledge consists of facts about the everyday world, such as "Lemons are sour", or "Cows say moo", that all humans are expected to know.
See Knowledge representation and reasoning and Commonsense knowledge (artificial intelligence)
Commonsense reasoning
In artificial intelligence (AI), commonsense reasoning is a human-like ability to make presumptions about the type and essence of ordinary situations humans encounter every day. Knowledge representation and reasoning and commonsense reasoning are automated reasoning.
See Knowledge representation and reasoning and Commonsense reasoning
Completeness (logic)
In mathematical logic and metalogic, a formal system is called complete with respect to a particular property if every formula having the property can be derived using that system, i.e. is one of its theorems; otherwise the system is said to be incomplete.
See Knowledge representation and reasoning and Completeness (logic)
Computer-aided diagnosis
Computer-aided detection (CADe), also called computer-aided diagnosis (CADx), are systems that assist doctors in the interpretation of medical images.
See Knowledge representation and reasoning and Computer-aided diagnosis
Conceptual graph
A conceptual graph (CG) is a formalism for knowledge representation. Knowledge representation and reasoning and conceptual graph are knowledge representation.
See Knowledge representation and reasoning and Conceptual graph
Cordell Green
Cordell Green (born 1941) is an American computer scientist who is the director and chief scientist of the Kestrel Institute.
See Knowledge representation and reasoning and Cordell Green
Cyc
Cyc (pronounced) is a long-term artificial intelligence project that aims to assemble a comprehensive ontology and knowledge base that spans the basic concepts and rules about how the world works.
See Knowledge representation and reasoning and Cyc
CycL
CycL in computer science and artificial intelligence, is an ontology language used by Douglas Lenat's Cyc artificial intelligence project.
See Knowledge representation and reasoning and CycL
DARPA
The Defense Advanced Research Projects Agency (DARPA) is a research and development agency of the United States Department of Defense responsible for the development of emerging technologies for use by the military.
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DATR
DATR is a language for lexical knowledge representation.
See Knowledge representation and reasoning and DATR
Declarative programming
In computer science, declarative programming is a programming paradigm—a style of building the structure and elements of computer programs—that expresses the logic of a computation without describing its control flow. Knowledge representation and reasoning and declarative programming are programming paradigms.
See Knowledge representation and reasoning and Declarative programming
Default logic
Default logic is a non-monotonic logic proposed by Raymond Reiter to formalize reasoning with default assumptions. Knowledge representation and reasoning and default logic are knowledge representation.
See Knowledge representation and reasoning and Default logic
DIKW pyramid
The DIKW pyramid, also known variously as the DIKW hierarchy, wisdom hierarchy, knowledge hierarchy, information hierarchy, information pyramid, and the data pyramid, refers to a class of models representing purported structural or functional relationships between data, information, knowledge, and wisdom.
See Knowledge representation and reasoning and DIKW pyramid
Edward Feigenbaum
Edward Albert Feigenbaum (born January 20, 1936) is a computer scientist working in the field of artificial intelligence, and joint winner of the 1994 ACM Turing Award.
See Knowledge representation and reasoning and Edward Feigenbaum
Existential quantification
In predicate logic, an existential quantification is a type of quantifier, a logical constant which is interpreted as "there exists", "there is at least one", or "for some".
See Knowledge representation and reasoning and Existential quantification
Expert system
In artificial intelligence (AI), an expert system is a computer system emulating the decision-making ability of a human expert.
See Knowledge representation and reasoning and Expert system
First-order logic
First-order logic—also called predicate logic, predicate calculus, quantificational logic—is a collection of formal systems used in mathematics, philosophy, linguistics, and computer science.
See Knowledge representation and reasoning and First-order logic
FO(.)
In computer science, FO(.) (a.k.a. FO-dot) is a knowledge representation language based on first-order logic (FO).
See Knowledge representation and reasoning and FO(.)
Formal system
A formal system is an abstract structure and formalization of an axiomatic system used for inferring theorems from axioms by a set of inference rules.
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Forward chaining
Forward chaining (or forward reasoning) is one of the two main methods of reasoning when using an inference engine and can be described logically as repeated application of modus ponens.
See Knowledge representation and reasoning and Forward chaining
Frame (artificial intelligence)
Frames are an artificial intelligence data structure used to divide knowledge into substructures by representing "stereotyped situations". Knowledge representation and reasoning and Frame (artificial intelligence) are knowledge representation.
See Knowledge representation and reasoning and Frame (artificial intelligence)
Frame problem
In artificial intelligence, with implications for cognitive science, the frame problem describes an issue with using first-order logic to express facts about a robot in the world. Knowledge representation and reasoning and frame problem are knowledge representation.
See Knowledge representation and reasoning and Frame problem
Functional completeness
In logic, a functionally complete set of logical connectives or Boolean operators is one that can be used to express all possible truth tables by combining members of the set into a Boolean expression.
See Knowledge representation and reasoning and Functional completeness
Fuzzy logic
Fuzzy logic is a form of many-valued logic in which the truth value of variables may be any real number between 0 and 1.
See Knowledge representation and reasoning and Fuzzy logic
General Problem Solver
General Problem Solver (GPS) is a computer program created in 1957 by Herbert A. Simon, J. C. Shaw, and Allen Newell (RAND Corporation) intended to work as a universal problem solver machine.
See Knowledge representation and reasoning and General Problem Solver
Hector Levesque
Hector Joseph Levesque (born 1951) is a Canadian academic and researcher in artificial intelligence.
See Knowledge representation and reasoning and Hector Levesque
Herbert A. Simon
Herbert Alexander Simon (June 15, 1916 – February 9, 2001) was an American political scientist whose work also influenced the fields of computer science, economics, and cognitive psychology.
See Knowledge representation and reasoning and Herbert A. Simon
Horn clause
In mathematical logic and logic programming, a Horn clause is a logical formula of a particular rule-like form that gives it useful properties for use in logic programming, formal specification, universal algebra and model theory.
See Knowledge representation and reasoning and Horn clause
Inference engine
In the field of artificial intelligence, an inference engine is a software component of an intelligent system that applies logical rules to the knowledge base to deduce new information.
See Knowledge representation and reasoning and Inference engine
Information
Information is an abstract concept that refers to something which has the power to inform.
See Knowledge representation and reasoning and Information
IntelliCorp (software)
IntelliCorp (IC) sold its assets including LiveCompare, LiveModel and LiveInterface to Tricentis in May 2019.
See Knowledge representation and reasoning and IntelliCorp (software)
Is-a
In knowledge representation and ontology components, including for object-oriented programming and design, is-a (also written as is_a or is a) is a subsumptive relationship between abstractions (e.g., types, classes), wherein one class A is a subclass of another class B (and so B is a superclass of A). Knowledge representation and reasoning and is-a are knowledge representation.
See Knowledge representation and reasoning and Is-a
John Alan Robinson
John Alan Robinson (9 March 1930 – 5 August 2016) was a philosopher, mathematician, and computer scientist.
See Knowledge representation and reasoning and John Alan Robinson
John F. Sowa
John Florian Sowa (born 1940) is an American computer scientist, an expert in artificial intelligence and computer design, and the inventor of conceptual graphs. Knowledge representation and reasoning and John F. Sowa are knowledge representation.
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John McCarthy (computer scientist)
John McCarthy (September 4, 1927 – October 24, 2011) was an American computer scientist and cognitive scientist.
See Knowledge representation and reasoning and John McCarthy (computer scientist)
Joseph Halpern
Joseph Yehuda Halpern (born May 29, 1953) is an Israeli-American professor of computer science at Cornell University.
See Knowledge representation and reasoning and Joseph Halpern
KL-ONE
KL-ONE (pronounced "kay ell won") is a knowledge representation system in the tradition of semantic networks and frames; that is, it is a frame language. Knowledge representation and reasoning and kL-ONE are knowledge representation.
See Knowledge representation and reasoning and KL-ONE
Knowledge base
In computer science, a knowledge base (KB) is a set of sentences, each sentence given in a knowledge representation language, with interfaces to tell new sentences and to ask questions about what is known, where either of these interfaces might use inference.
See Knowledge representation and reasoning and Knowledge base
Knowledge Engineering Environment
Knowledge Engineering Environment (KEE) is a frame-based development tool for expert systems. Knowledge representation and reasoning and Knowledge Engineering Environment are knowledge representation.
See Knowledge representation and reasoning and Knowledge Engineering Environment
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.
See Knowledge representation and reasoning and Knowledge graph
Knowledge management
Knowledge management (KM) is the collection of methods relating to creating, sharing, using and managing the knowledge and information of an organization.
See Knowledge representation and reasoning and Knowledge management
Knowledge-based systems
A knowledge-based system (KBS) is a computer program that reasons and uses a knowledge base to solve complex problems.
See Knowledge representation and reasoning and Knowledge-based systems
Lambda calculus
Lambda calculus (also written as λ-calculus) is a formal system in mathematical logic for expressing computation based on function abstraction and application using variable binding and substitution.
See Knowledge representation and reasoning and Lambda calculus
Logic
Logic is the study of correct reasoning.
See Knowledge representation and reasoning and Logic
Logic programming
Logic programming is a programming, database and knowledge representation paradigm based on formal logic. Knowledge representation and reasoning and logic programming are programming paradigms.
See Knowledge representation and reasoning and Logic programming
Logico-linguistic modeling
Logico-linguistic modeling is a method for building knowledge-based systems with a learning capability using conceptual models from soft systems methodology, modal predicate logic, and logic programming languages such as Prolog. Knowledge representation and reasoning and logico-linguistic modeling are knowledge representation.
See Knowledge representation and reasoning and Logico-linguistic modeling
Lumped-element model
The lumped-element model (also called lumped-parameter model, or lumped-component model) is a simplified representation of a physical system or circuit that assumes all components are concentrated at a single point and their behavior can be described by idealized mathematical models.
See Knowledge representation and reasoning and Lumped-element model
Marvin Minsky
Marvin Lee Minsky (August 9, 1927 – January 24, 2016) was an American cognitive and computer scientist concerned largely with research of artificial intelligence (AI).
See Knowledge representation and reasoning and Marvin Minsky
Massachusetts Institute of Technology
The Massachusetts Institute of Technology (MIT) is a private land-grant research university in Cambridge, Massachusetts.
See Knowledge representation and reasoning and Massachusetts Institute of Technology
Mathematical logic
Mathematical logic is the study of formal logic within mathematics.
See Knowledge representation and reasoning and Mathematical logic
Mind map
A mind map is a diagram used to visually organize information into a hierarchy, showing relationships among pieces of the whole. Knowledge representation and reasoning and mind map are knowledge representation.
See Knowledge representation and reasoning and Mind map
Moshe Vardi
Moshe Ya'akov Vardi (משה יעקב ורדי) is an Israeli mathematician and computer scientist.
See Knowledge representation and reasoning and Moshe Vardi
Mycin
MYCIN was an early backward chaining expert system that used artificial intelligence to identify bacteria causing severe infections, such as bacteremia and meningitis, and to recommend antibiotics, with the dosage adjusted for patient's body weight — the name derived from the antibiotics themselves, as many antibiotics have the suffix "-mycin".
See Knowledge representation and reasoning and Mycin
Natural language understanding
Natural language understanding (NLU) or natural language interpretation (NLI) is a subset of natural language processing in artificial intelligence that deals with machine reading comprehension.
See Knowledge representation and reasoning and Natural language understanding
Natural-language user interface
Natural-language user interface (LUI or NLUI) is a type of computer human interface where linguistic phenomena such as verbs, phrases and clauses act as UI controls for creating, selecting and modifying data in software applications.
See Knowledge representation and reasoning and Natural-language user interface
Negation as failure
Negation as failure (NAF, for short) is a non-monotonic inference rule in logic programming, used to derive \mathrm~p (i.e. that p is assumed not to hold) from failure to derive p. Note that \mathrm ~p can be different from the statement \neg p of the logical negation of p, depending on the completeness of the inference algorithm and thus also on the formal logic system.
See Knowledge representation and reasoning and Negation as failure
Non-monotonic logic
A non-monotonic logic is a formal logic whose conclusion relation is not monotonic.
See Knowledge representation and reasoning and Non-monotonic logic
Ontology (information science)
In information science, an ontology encompasses a representation, formal naming, and definitions of the categories, properties, and relations between the concepts, data, or entities that pertain to one, many, or all domains of discourse. Knowledge representation and reasoning and ontology (information science) are knowledge representation.
See Knowledge representation and reasoning and Ontology (information science)
Ontology language
In computer science and artificial intelligence, ontology languages are formal languages used to construct ontologies.
See Knowledge representation and reasoning and Ontology language
Pat Hayes
Patrick John Hayes FAAAI (born 21 August 1944) is a British computer scientist who lives and works in the United States.
See Knowledge representation and reasoning and Pat Hayes
Procedural programming
Procedural programming is a programming paradigm, classified as imperative programming, that involves implementing the behavior of a computer program as procedures (a.k.a. functions, subroutines) that call each other. Knowledge representation and reasoning and Procedural programming are programming paradigms.
See Knowledge representation and reasoning and Procedural programming
Production system (computer science)
A "production system" (or "production rule system") is a computer program typically used to provide some form of artificial intelligence, which consists primarily of a set of rules about behavior, but it also includes the mechanism necessary to follow those rules as the system responds to states of the world.
See Knowledge representation and reasoning and Production system (computer science)
Prolog
Prolog is a logic programming language that has its origins in artificial intelligence, automated theorem proving and computational linguistics.
See Knowledge representation and reasoning and Prolog
Reason maintenance
Reason maintenanceDoyle, J., 1983. Knowledge representation and reasoning and Reason maintenance are knowledge representation.
See Knowledge representation and reasoning and Reason maintenance
Reflective programming
In computer science, reflective programming or reflection is the ability of a process to examine, introspect, and modify its own structure and behavior.
See Knowledge representation and reasoning and Reflective programming
Resolution (logic)
In mathematical logic and automated theorem proving, resolution is a rule of inference leading to a refutation-complete theorem-proving technique for sentences in propositional logic and first-order logic.
See Knowledge representation and reasoning and Resolution (logic)
Resource Description Framework
The Resource Description Framework (RDF) is a World Wide Web Consortium (W3C) standard originally designed as a data model for metadata. Knowledge representation and reasoning and Resource Description Framework are knowledge representation.
See Knowledge representation and reasoning and Resource Description Framework
Rick Hayes-Roth
Frederick Hayes-Roth (born 1947, né Frederick Roth) is an American computer scientist and educator.
See Knowledge representation and reasoning and Rick Hayes-Roth
Ronald Fagin
Ronald Fagin (born 1945) is an American mathematician and computer scientist, and IBM Fellow at the IBM Almaden Research Center.
See Knowledge representation and reasoning and Ronald Fagin
Ronald J. Brachman
Ronald Jay "Ron" Brachman (born 1949) is the director of the Jacobs Technion-Cornell Institute at Cornell Tech. Knowledge representation and reasoning and Ronald J. Brachman are knowledge representation.
See Knowledge representation and reasoning and Ronald J. Brachman
Rule-based system
In computer science, a rule-based system is a computer system in which domain-specific knowledge is represented in the form of rules and general-purpose reasoning is used to solve problems in the domain.
See Knowledge representation and reasoning and Rule-based system
Scientific American
Scientific American, informally abbreviated SciAm or sometimes SA, is an American popular science magazine.
See Knowledge representation and reasoning and Scientific American
Semantic network
A semantic network, or frame network is a knowledge base that represents semantic relations between concepts in a network. Knowledge representation and reasoning and semantic network are knowledge representation.
See Knowledge representation and reasoning and Semantic network
Semantic technology
The ultimate goal of semantic technology is to help machines understand data.
See Knowledge representation and reasoning and Semantic technology
Semantic Web
The Semantic Web, sometimes known as Web 3.0 (not to be confused with Web3), is an extension of the World Wide Web through standards set by the World Wide Web Consortium (W3C). Knowledge representation and reasoning and Semantic Web are knowledge representation.
See Knowledge representation and reasoning and Semantic Web
Situation calculus
The situation calculus is a logic formalism designed for representing and reasoning about dynamical domains.
See Knowledge representation and reasoning and Situation calculus
SLD resolution
SLD resolution (Selective Linear Definite clause resolution) is the basic inference rule used in logic programming.
See Knowledge representation and reasoning and SLD resolution
Smalltalk
Smalltalk is a purely object oriented programming language (OOP) that was originally created in the 1970s for educational use, specifically for constructionist learning, but later found use in business.
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Symbolics
Symbolics, Inc., was a privately held American computer manufacturer that acquired the assets of the former company and continues to sell and maintain the Open Genera Lisp system and the Macsyma computer algebra system.
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Texas Instruments
Texas Instruments Incorporated (TI) is an American multinational semiconductor company headquartered in Dallas, Texas.
See Knowledge representation and reasoning and Texas Instruments
Tom Gruber
Thomas Robert Gruber (born 1959) is an American computer scientist, inventor, and entrepreneur with a focus on systems for knowledge sharing and collective intelligence.
See Knowledge representation and reasoning and Tom Gruber
Unique name assumption
The unique name assumption is a simplifying assumption made in some ontology languages and description logics. Knowledge representation and reasoning and unique name assumption are knowledge representation.
See Knowledge representation and reasoning and Unique name assumption
In metaphysics, a universal is what particular things have in common, namely characteristics or qualities.
See Knowledge representation and reasoning and Universal (metaphysics)
Universal quantification
In mathematical logic, a universal quantification is a type of quantifier, a logical constant which is interpreted as "given any", "for all", or "for any".
See Knowledge representation and reasoning and Universal quantification
Valuation-based system
Valuation-based system (VBS) is a framework for knowledge representation and inference.
See Knowledge representation and reasoning and Valuation-based system
Web Ontology Language
The Web Ontology Language (OWL) is a family of knowledge representation languages for authoring ontologies.
See Knowledge representation and reasoning and Web Ontology Language
World Wide Web Consortium
The World Wide Web Consortium (W3C) is the main international standards organization for the World Wide Web.
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Xerox
Xerox Holdings Corporation is an American corporation that sells print and digital document products and services in more than 160 countries.
See Knowledge representation and reasoning and Xerox
Yoram Moses
Yoram Moses (יוֹרָם מוֹזֶס) is a Professor in the Electrical Engineering Department at the Technion - Israel Institute of Technology.
See Knowledge representation and reasoning and Yoram Moses
See also
Automated reasoning
- Association for Automated Reasoning
- Automated reasoning
- Automated theorem proving
- Backward chaining
- Commonsense reasoning
- Handbook of Automated Reasoning
- Knowledge representation
- Knowledge representation and reasoning
- Model-based reasoning
- Opportunistic reasoning
- ProVerif
- Reasoning system
- Rule engines
- Semantic reasoner
- Sentient (intelligence analysis system)
- Stanhope Demonstrator
- Tamarin Prover
- The Engine
- Type inference
Intelligence assessment
- Basic intelligence
- Charles Hamilton Mitchell
- Compartmentalization (information security)
- Espionage
- Essential elements of information
- Futures techniques
- Intelligence analysis
- Intelligence assessment
- Intelligence collection management
- Intelligence collection plan
- Intelligence cycle (target-centric approach)
- Intelligence cycle management
- Intelligence cycle security
- Intelligence failure
- Intelligence quotient
- Intelligence requirement
- Intelligence studies
- Intelligence tests
- Joint Worldwide Intelligence Communications System
- Knowledge representation and reasoning
- Military intelligence
- Raw intelligence
- Sentient (intelligence analysis system)
- Source (intelligence)
- Technical intelligence
- The Institute of World Politics
- Threat assessment
- Universal Core
- Worldwide Threat Assessment of the US Intelligence Community
Scientific modelling
- Cognitive modeling
- Data modeling
- Enterprise modelling
- Environmental modelling
- Geologic modelling
- Human performance modeling
- Integrated assessment modelling
- Integrated asset modelling
- Knowledge representation and reasoning
- Metamodeling
- Mixture theory
- Model-dependent realism
- Modeling languages
- Modeling perspective
- Molecular modelling
- Nexus Tools Platform
- Notation
- Participatory modeling
- Performance and modelling of AC transmission
- Physical modeling
- Process map
- Quantitative storytelling
- Scientific modelling
- Scientific models
- Scientific visualization
- Simulation
- Specification language
- Spherical cow
References
[1] https://en.wikipedia.org/wiki/Knowledge_representation_and_reasoning
Also known as History of knowledge representation and reasoning, KR&R, KR², Knowledge Representation, Knowledge model, Knowledge models, Knowledge reasoning, Knowledge representation & reasoning, Knowledge representation formalisms and methods, Knowledge representation system.
, John F. Sowa, John McCarthy (computer scientist), Joseph Halpern, KL-ONE, Knowledge base, Knowledge Engineering Environment, Knowledge graph, Knowledge management, Knowledge-based systems, Lambda calculus, Logic, Logic programming, Logico-linguistic modeling, Lumped-element model, Marvin Minsky, Massachusetts Institute of Technology, Mathematical logic, Mind map, Moshe Vardi, Mycin, Natural language understanding, Natural-language user interface, Negation as failure, Non-monotonic logic, Ontology (information science), Ontology language, Pat Hayes, Procedural programming, Production system (computer science), Prolog, Reason maintenance, Reflective programming, Resolution (logic), Resource Description Framework, Rick Hayes-Roth, Ronald Fagin, Ronald J. Brachman, Rule-based system, Scientific American, Semantic network, Semantic technology, Semantic Web, Situation calculus, SLD resolution, Smalltalk, Symbolics, Texas Instruments, Tom Gruber, Unique name assumption, Universal (metaphysics), Universal quantification, Valuation-based system, Web Ontology Language, World Wide Web Consortium, Xerox, Yoram Moses.