Foundations to the unified psycho-cognitive engine.

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Description

This document outlines the key features of the SNL psychological engine. The engine is designed to be a generic presentation of cognitive entities interacting among themselves and with the external world. The engine combines the most accepted theories of behavioral psychology with those of behavioral economics to produce a unified simulation of human response from stimuli through executed behavior. The engine explicitly recognizes emotive and reasoned contributions to behavior and simulates the dynamics associated with cue processing, learning, and choice selection. Most importantly, the model parameterization can come from available media or survey information, as well subject-matter-expert information. The framework ... continued below

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128 p.

Creation Information

Bernard, Michael Lewis; Bier, Asmeret Brooke; Backus, George A.; Verzi, Stephen J. & Glickman, Matthew R. October 1, 2010.

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This report is part of the collection entitled: Office of Scientific & Technical Information Technical Reports and was provided by UNT Libraries Government Documents Department to Digital Library, a digital repository hosted by the UNT Libraries. It has been viewed 13 times . More information about this report can be viewed below.

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Description

This document outlines the key features of the SNL psychological engine. The engine is designed to be a generic presentation of cognitive entities interacting among themselves and with the external world. The engine combines the most accepted theories of behavioral psychology with those of behavioral economics to produce a unified simulation of human response from stimuli through executed behavior. The engine explicitly recognizes emotive and reasoned contributions to behavior and simulates the dynamics associated with cue processing, learning, and choice selection. Most importantly, the model parameterization can come from available media or survey information, as well subject-matter-expert information. The framework design allows the use of uncertainty quantification and sensitivity analysis to manage confidence in using the analysis results for intervention decisions.

Physical Description

128 p.

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  • Report No.: SAND2010-6974
  • Grant Number: AC04-94AL85000
  • DOI: 10.2172/1008141 | External Link
  • Office of Scientific & Technical Information Report Number: 1008141
  • Archival Resource Key: ark:/67531/metadc841811

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Office of Scientific & Technical Information Technical Reports

Reports, articles and other documents harvested from the Office of Scientific and Technical Information.

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  • October 1, 2010

Added to The UNT Digital Library

  • May 19, 2016, 3:16 p.m.

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  • Dec. 5, 2016, 4:16 p.m.

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Bernard, Michael Lewis; Bier, Asmeret Brooke; Backus, George A.; Verzi, Stephen J. & Glickman, Matthew R. Foundations to the unified psycho-cognitive engine., report, October 1, 2010; United States. (digital.library.unt.edu/ark:/67531/metadc841811/: accessed November 24, 2017), University of North Texas Libraries, Digital Library, digital.library.unt.edu; crediting UNT Libraries Government Documents Department.