The phrase "automatic hypothesis" is correct and usable in written English.
It can be used in contexts related to psychology, research, or scientific discussions where a hypothesis is formed automatically based on certain data or observations.
Example: "In the study, participants often formed an automatic hypothesis about the outcome based on their previous experiences."
Alternatives: "implicit assumption" or "instinctive inference".
The main problem with automatic hypotheses creation is the enormous number of generated hypotheses; most represent concepts associated by simple co-occurrence but with no biological meaning.
Under the guide in particular of Finn's intelligent systems laboratory in VINITI-RAN (the All-Russian Institute of Scientific and Technical Information of the Russian Academy of Sciences), elaborate techniques for automatic generation of hypotheses were found and were extensively utilized for many practical purposes.
Almost simultaneously with Finn's development of Automatic Generation of Hypotheses, German mathematicians Rudolf Wille and Bernhardt Ganter were developing an aspect of Galois Theory and lattice theory (the latter being, as was said, Peirce's invention) that came to be known as "Formal Concept Analysis".
Interestingly enough, even though the two groups of researchers initially were working completely independently of each other, the mathematical apparatus of Finn's Automatic Generation of Hypotheses is at its core the very same apparatus as that of Wille's and Ganter's Formal Concept Analysis.
As for the automatic method, the inherent hypothesis, FA value varied significantly for stroke, may not be perfect for the ischemic stroke lesion.
We also investigate the effectiveness of using more automatic speech recognition (ASR) hypotheses (n-best lists) to extract lexical features.
Possible hypotheses include automatic inhibition of the response after an erroneous trial, as well as additional comparisons between actual response and representations of intended responses [ 26- 28].
Among various approaches to the automatic generation of such hypotheses (Frijters et al., 2010; Weeber et al., 2003; 2005; Wren et al., 2004), we adopt a simple approach using two-step associations.
A common approach to automatic discovery of useful hypotheses is to combine two (or more) known associations, i.e. if concept X is associated with concept Y, and concept Y is associated with concept Z, then the potential association between X and Z is considered as a useful hypothesis unless there is already a known association between X and Z.
