Foundations to the unified psycho-cognitive engine.

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

关键词: BEHAVIOR;    HUMAN FACTORS;    SIMULATORS;    LEARNING;    SENSITIVITY ANALYSIS;    STIMULI;    DECISION MAKING;   

DOI  :  10.2172/1008141
RP-ID  :  SAND2010-6974
PID  :  OSTI ID: 1008141
Others  :  TRN: US201108%%21

学科分类：社会科学、人文和艺术（综合）

美国|英语

来源: SciTech Connect

【 摘 要 】

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.