A Review of Production System Models of Cognition and Example Demonstration | Zendy

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A Review of Production System Models of Cognition and Example Demonstration

Author(s) -

Nathan Bran

Publication year - 2002

Publication title -

osti oai (u.s. department of energy office of scientific and technical information)

Language(s) - English

Resource type - Reports

DOI - 10.2172/808592

Subject(s) - task (project management) , cognition , computer science , cognitive architecture , production (economics) , artificial intelligence , control (management) , cognitive model , cognitive science , action (physics) , human–computer interaction , machine learning , psychology , engineering , systems engineering , neuroscience , physics , quantum mechanics , economics , macroeconomics

There have been significant efforts to develop cognitively plausible software architectures of human information processing in the last three decades. This report summarizes several architectures that continue to be developed. The specific type of cognitive models developed are known as production system architectures, which refers to the characterization of knowledge in terms of procedural (''how-to'' knowledge) condition-action relationships consisting of declarative (''what'' or factual) knowledge. To illustrate the ability for these models to instantiate human cognitive performance, a simulation using ACT-R (Adaptive Control of Thought - Rational) was implemented for a supervisory control task. Correlations between simulated and human learning of the task were measured and yielded correlations as high as 0.93

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