Sentence examples for computer reasoning from inspiring English sources
Monica Anderson, CTO of Sens.ai considers that artificial intuition and epistemology are the next frontiers after computer reasoning.
Ontologies are knowledge representations that use controlled vocabularies designed to facilitate knowledge capture and computer reasoning (Robinson and Bauer, 2011).
The formal implementation of ontologies as well as necessary conditions for formality has also been discussed as well as its advantages for promoting computer reasoning.
In addition, the use of international standard terminologies (e.g. ICD-10, SNOMED CT) would allow using the subsumption properties and the semantic links in terminologies, thus enabling computer reasoning.
Database URL: http://purl.obolibrary.org/obo/hao/2012-07-18/arthropod-mappings.obo Representing informabout about a domain of interest as an ontology is an increasingly important way to formalize concepts and aid computer reasoning of real-world systems.
Regarding definitions: while computer reasoning across ontologies is often accomplished through logically asserted relations, and not through text definitions, humans performing manual alignments or evaluating automated results often require some idea of a class's meaning.
Graph algorithms are becoming increasingly important, from warehouse-scale computers reasoning about vast amounts of data for analytics and recommendation applications to mobile clients running recognition and machine-learning applications.
Much the same could be said about computers: reasoning about them requires the employment of an abstract machine that captures the computers function.
The goal based methodology lends itself directly for implementation into a computer aided reasoning tool for HAZOP studies to perform root cause and consequence analysis.
The functional HAZOP methodology lends itself directly for implementation into a computer aided reasoning tool to perform root cause and consequence analysis.
His research focuses on the interface between game and decision theory and computer science, reasoning about knowledge and uncertainty, and causality.
