CYC System
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A CYC System is a Commonsense Reasoning System produced by the CYC Project.
- AKA: CYC, OpenCyc.
- Context:
- It manages a CYC Knowledge Base.
- …
- Counter-Example(s):
- See: Top-level Ontology.
References
2019
- (Cycorp, 2019) ⇒ "Cyc Technology Overview", retrieved from: http://www.opencyc.org/ date: 2019-04-21.
- QUOTE: Cyc is a differentiated, mature Artificial Intelligence software platform with a suite of vertically-focused products used by many of the largest companies in the world to address mission-critical problems in ways not possible by other forms of AI. Unlike Machine Learning – what most people are referring to when they talk about “AI” these days – Cyc’s power is rooted in its ability to harness knowledge and reason logically.
2009
- (Wikipedia, 2009) ⇒ http://en.wikipedia.org/wiki/Cyc
- Cyc is an artificial intelligence project that attempts to assemble a comprehensive ontology and knowledge base of everyday common sense knowledge, with the goal of enabling AI applications to perform human-like reasoning. The project was started in 1984 by Douglas Lenat and is developed by company Cycorp. Parts of the project are released as OpenCyc, which provides an API, RDF endpoint, and data dump under an open source license.
2007
- (Obitko, 2007) ⇒ Marek Obitko. (2007). “Translations Between Ontologies in Multi-agent Systems - Ontology Operations].” PhD Thesis, Czech Technical University http://www.obitko.com/tutorials/ontologies-semantic-web/body-of-knowledge.html
- The typical example is the project CYC that defines its knowledge base as an ontology for any other knowledge based system. CYC is the name of a very large, multi-contextual knowledge base and inference engine. CYC is an early attempt to do symbolic AI on a massive scale by capturing common knowledge that is required to do tasks that are trivial for people, but very hard for computers. All of the knowledge in CYC is represented declaratively in the form of logical assertions. CYC contains over 400,000 significant assertions, which include simple statements of facts, rules about what conclusions to draw if certain statements of facts are satisfied, and rules about how to reason with certain types of facts and rules. New conclusions are derived by the inference engine using deductive reasoning. The CYC common sense knowledge can be used as a foundation of a knowledge base for any knowledge intensive system. In this sense, this body of knowledge can be viewed as an ontology of the knowledge base of the system.
1990
- (Lenat & Guha) ⇒ Douglas B. Lenat, and R. V. Guha. (1990). “Building Large Knowledge-based Systems; Representation and Inference in the Cyc Project, 1st edition." Addison-Wesley Longman Publishing Co.