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A generalization is a form of abstraction whereby common properties of specific instances are formulated as general concepts or claims. [1] Generalizations posit the existence of a domain or set of elements, as well as one or more common characteristics shared by those elements (thus creating a conceptual model ).
Generalization is the concept that humans, other animals, and artificial neural networks use past learning in present situations of learning if the conditions in the ...
Hasty generalization is the fallacy of examining just one or very few examples or studying a single case and generalizing that to be representative of the whole class of objects or phenomena. The opposite, slothful induction , is the fallacy of denying the logical conclusion of an inductive argument, dismissing an effect as "just a coincidence ...
Inductive reasoning is any of various methods of reasoning in which broad generalizations or principles are derived from a body of observations. [1] [2] This article is concerned with the inductive reasoning other than deductive reasoning (such as mathematical induction), where the conclusion of a deductive argument is certain given the premises are correct; in contrast, the truth of the ...
The concept of status generalization can be applied to groups that are assembled to perform a task. A group member's external status (race, age, gender, or occupation), as opposed to his or her skill, may determine their roles within the group. [1] Julian Oldmeadow, Michael Platow, and Margaret Foddy state:
The universal law of generalization is a theory of cognition stating that the probability of a response to one stimulus being generalized to another is a function of the “distance” between the two stimuli in a psychological space.
These results don’t mean that current AI systems can automate AI research and development. “Eventually, this is going to have to be superseded by a harder eval,” says Wijk.
Without loss of generality (often abbreviated to WOLOG, WLOG or w.l.o.g.; less commonly stated as without any loss of generality or with no loss of generality) is a frequently used expression in mathematics.