Human performance modeling: Difference between revisions

Revision as of 17:01, 7 November 2019

Revision as of 22:42, 21 November 2019

Line 84:

=== Cognition & Memory ===

The paradigm shift in psychology from behaviorism to the study of cognition had a huge impact on the field of Human Performance Modeling. Regarding memory and cognition, the research of Newell and Simon regarding artificial intelligence and the [[General Problem Solver]] (GPS; Newell & Simon, 1963), demonstrated that computational models could effectively capture fundamental human cognitive behavior. Newell and Simon were not simply concerned with the amount of information - say, counting the number of bits the human cognitive system had to receive from the perceptual system - but rather the actual computations being performed. They were critically involved with the early success of comparing cognition to computation, and the ability of computation to simulate critical aspects of cognition - thus leading to the creation of the sub-discipline of [[artificial intelligence]] within [[computer science]], and changing how cognition was viewed in the psychological community. Although cognitive processes do not literally flip bits in the same way that discrete electronic circuits do, pioneers were able to show that any universal computational machine could simulate the processes used in another, without a physical equivalence (Phylyshyn, 1989; Turing, 1936). The [[cognitive revolution]] allowed all of cognition to be approached by modeling, and these models now span a vast array of cognitive domains - from simple list memory, to comprehension of communication, to problem solving and decision making, to imagery, and beyond.<ref name=":1" />

One popular example is the Atkinson-Shiffrin (1968) [[Atkinson–Shiffrin memory model|"modal" model of memory]]. Also, please see [[Cognitive models|Cognitive Models]] for information not included here..