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CBR is both a paradigm for computer-based problem-solvers and a model of human cognition.
The brain, behavior, and cognition of songbirds have provided an excellent model of human cognition in one domain, namely learning human language and the production of speech.
All together, the significant terms in the final model explain nearly a third of the variance in MATE score; this is a satisfactory amount, especially for a model of human cognition, but it bears note that much of the variation in MATE score was left unexplained by the significant terms in our model.
Medical informatics has been guided by an individual-centered model of human cognition, inherited from classical theory of mind, in which knowledge, problem-solving, and information-processing responsible for intelligent behavior all derive from the inner workings of an individual agent.
If a number of such LIDA agents, replicating different psychological experiments and thus focusing on different aspects of human cognition, would operate in time frames consistent with the human brain (without readjustments of internal parameters), this would considerably increase the plausibility of the LIDA architecture as a model of human cognition.
This is a generally accepted model of human cognition that encompasses an initial fast response to a problem (System 1) that occurs at a subconscious level and is associated with or followed by a slow analytic, reflective response (System 2).
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Stemming from capacity-based models of human cognition, e.g., (Wickens, 2008; Baddeley, 1992), the concept of cognitive workload is based on the notion that as task demands increase, the individual is required to exert an increasing amount of his or her limited cognitive resources to maintain a steady level of performance.
Cognitive science theories provide frameworks to describe various models of human cognition including how information is represented and processed by the brain.
Other cognitive psychologists have studied human intelligence by constructing computer models of human cognition.
Learning technology periodically undergoes changes in response to changes in the prevailing models of human cognition and learning.
To one who makes the error, conceptual space will seem to contain no room for mechanical models of the mind that are not equivalent to Turing machines.Yet it is certainly possible that psychology will find the need to employ models of human cognition that transcend Turing machines.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com