Search results
Results from the WOW.Com Content Network
Conversely, psychology defines bottom-up processing as an approach in which there is a progression from the individual elements to the whole. According to Ramskov, one proponent of bottom-up approach, Gibson, claims that it is a process that includes visual perception that needs information available from proximal stimulus produced by the ...
Bottom-up may refer to: Bottom-up analysis, a fundamental analysis technique in accounting and finance; Bottom-up parsing, a computer science strategy; Bottom-up processing, in Pattern recognition (psychology) Bottom-up theories of galaxy formation and evolution; Bottom-up tree automaton, in data structures; Bottom-up integration testing, in ...
On Grush’s account, the top-down and bottom up signals would be combined in a way sensitive to the expected noise (aka uncertainty) in the bottom-up signal, so that in situations in which the sensory signal was known to be less trustworthy, the top-down prediction would be given greater weight, and vice-versa.
This is sometimes referred to as "bottom-up" processing, as it is the properties of the stimuli which affect selection. Since things that affect pre-attentive processing do not necessarily correlate with things that affect attention, stimulus salience may be more important than conscious goals.
Formal estimation model: The quantification step is based on mechanical processes, e.g., the use of a formula derived from historical data. Combination-based estimation: The quantification step is based on a judgmental and mechanical combination of estimates from different sources. Below are examples of estimation approaches within each category.
An example of such bottom-up processes is the average social sensitivity or the average and maximum intelligence scores of group members. [17] Furthermore, collective intelligence was found to be related to a group's cognitive diversity [ 69 ] including thinking styles and perspectives. [ 70 ]
Perception is influenced by both top-down and bottom-up processing. In visual processing, bottom-up processing is a rigid route compared to flexible top-down processing. [ 17 ] Within bottom-up processing, the stimuli are recognized by fixation points , proximity and focal areas to build objects, while top-down processing is more context sensitive.
These values are used to calculate an E value for the estimate and a standard deviation (SD) as L-estimators, where: E = (a + 4m + b) / 6 SD = (b − a) / 6. E is a weighted average which takes into account both the most optimistic and most pessimistic estimates provided. SD measures the variability or uncertainty in the estimate.