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Connecting cognitive and neural models

Frontiers in Artificial Intelligence and Applications

Rothganger, Fredrick R.; Warrender, Christina E.; Speed, Ann S.; Rohrer, Brandon R.; Naugle, Asmeret B.; Trumbo, Derek T.

A key challenge in developing complete human equivalence is how to ground a synoptic theory of cognition in neural reality. Both cognitive architectures and neural models provide insight into how biological brains work, but from opposite directions. Here the authors report on initial work aimed at interpreting connectomic data in terms of algorithms. Sandia National Laboratories is a multi-program laboratory managed and operated by Sandia Corporation, a wholly owned subsidiary of Lockheed Martin Corporation, for the U.S. Department of Energy's National Nuclear Security Administration under contract DE-AC04-94AL85000. © 2011 The authors and IOS Press. All rights reserved.

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TYPE Conference YEAR 2011
OSTIScopus

Sensitivity analysis techniques for models of human behavior

Naugle, Asmeret B.

Human and social modeling has emerged as an important research area at Sandia National Laboratories due to its potential to improve national defense-related decision-making in the presence of uncertainty. To learn about which sensitivity analysis techniques are most suitable for models of human behavior, different promising methods were applied to an example model, tested, and compared. The example model simulates cognitive, behavioral, and social processes and interactions, and involves substantial nonlinearity, uncertainty, and variability. Results showed that some sensitivity analysis methods create similar results, and can thus be considered redundant. However, other methods, such as global methods that consider interactions between inputs, can generate insight not gained from traditional methods.

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TYPE SAND Report YEAR 2010
DOIOSTI
Results 76–95 of 95
Results 76–95 of 95