Exact(1)
The most representative methods in CI are fuzzy systems, able to perform imprecise reasoning; neural networks, which can learn from samples; and the genetic algorithms, which make a search in the space of solutions.
Similar(59)
Fuzzy logic is based on imprecise human reasoning and exploits the tolerance for imprecision to solve complex problems and support decision making on complex systems [17, 18, 19, 20].
Although wildly imprecise, his reasoning was legitimate and his point well taken: the Earth was far older than was usually supposed by his contemporaries, and, therefore, "What an infinite number of generations... must have succeeded each other in the long roll of years!" Such an argument was crucial in accounting for the necessarily slow pace of his "descent with modification".
On Friday, Bennet's new hire published "Climate of Complete Certainty," a dreadfully argued piece contending that … well, the point is buried in false starts, bogus reasoning and imprecise writing.
This usage goes back at least to Peter Walley's influential book Statistical Reasoning with Imprecise Probabilities (Walley 1991).
"This paradigm very significantly contributed to the progress of reasoning with imprecise concepts and provided a new approach to qualitatively represent human knowledge," the prize jury wrote.
This type of knowledge is usually imprecise, vague and fuzzy, while the reasoning about spatio-temporal relations is intuitive.
As the managed information is often imprecise or uncertain the use of qualitative reasoning methods has been foreseen.
The central part of the model is the knowledge representation scheme called FuSpaT, which supports the representation and reasoning for domains that include imprecise and fuzzy spatial, temporal and spatio-temporal relationships.
Shlomo Zilberstein and Stuart Russell, ''Approximate reasoning using anytime algorithms". In S. Natarajan (Ed). Imprecise and Approximate Computation, Kluwer Academic Publishers, Dordrecht, 1995.
Imprecise probabilities is a theory born of our limitations as reasoning agents, and of limitations in our evidence base.
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