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The work is limited to the range of the domains and the reasoning techniques that are being reflected on. In informal knowledge-based approaches, theories of reasoning are based on anecdotal data and intuition that are results from empirical behavioral psychology. Informal approaches are common in computer programming.
Common sense knowledge also helps to solve problems in the face of incomplete information. Using widely held beliefs about everyday objects, or common sense knowledge, AI systems make common sense assumptions or default assumptions about the unknown similar to the way people do. In an AI system or in English, this is expressed as "Normally P ...
It works with images coming from the common sense and imagination, using reasoning (λόγος, lógos) as well as the active intellect. The noûs identifies the true forms of things, while the common sense identifies shared aspects of things. Though scholars have varying interpretations of the details, Aristotle's "common sense" was in any ...
Motivated reasoning – Using emotionally-biased reasoning to produce justifications or make decisions; Observational error, also known as Systematic bias – Difference between a measured value of a quantity and its true value; Outline of public relations – Overview of and topical guide to public relations
The Open Mind Common Sense project differs from Cyc because it has focused on representing the common sense knowledge it collected as English sentences, rather than using a formal logical structure. ConceptNet is described by one of its creators, Hugo Liu, as being structured more like WordNet than Cyc, due to its "emphasis on informal ...
Cyc (pronounced / ˈ s aɪ k / SYKE) 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.
An image schema (both schemas and schemata are used as plural forms) is a recurring structure within our cognitive processes which establishes patterns of understanding and reasoning. As an understudy to embodied cognition , image schemas are formed from our bodily interactions, [ 1 ] from linguistic experience, and from historical context.
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 ...