The SCREAM (Sandia Cognitive Runtime Engine with Active memory) software implements a subset of a Cognitive Famework developed at Sandia National Laboratories. The software is implemented in the Umbra simulation and modular software framework, which is C++-based. SCREAM components include a Concept Instance Driver, Semantic Activation Network, Concept Database, Context Recognizer, Context Database, Episodic Memory, Egocentric Spatial Memory, Allocentric Spatial Memory, Comparator, and a Context to Abstract Action converter. At initialization, modules load the data files that together specify all the components of a particular cognitive model, such as concept declarations, context declarations, spreading activation weights, and context/situation-cue-patterns.
To order this software or receive further information, please fill out the following request: Request Software
Xavier, Patrick, Chen, Michael C., Hart, Brian, Hart, Derek, Lippitt, Carl, Wolfenbarger, Paul, and Waymire, Russel. Sandia Cognitive Runtime Engine with Active Memory.
Computer software. Version 00. December 1, 2005.
@misc{osti_1230890,
title = {Sandia Cognitive Runtime Engine with Active Memory, Version 00},
author = {Xavier, Patrick and Chen, Michael C. and Hart, Brian and Hart, Derek and Lippitt, Carl and Wolfenbarger, Paul and Waymire, Russel},
abstractNote = {The SCREAM (Sandia Cognitive Runtime Engine with Active memory) software implements a subset of a Cognitive Famework developed at Sandia National Laboratories. The software is implemented in the Umbra simulation and modular software framework, which is C++-based. SCREAM components include a Concept Instance Driver, Semantic Activation Network, Concept Database, Context Recognizer, Context Database, Episodic Memory, Egocentric Spatial Memory, Allocentric Spatial Memory, Comparator, and a Context to Abstract Action converter. At initialization, modules load the data files that together specify all the components of a particular cognitive model, such as concept declarations, context declarations, spreading activation weights, and context/situation-cue-patterns.},
doi = {},
url = {https://www.osti.gov/biblio/1230890},
year = {Thu Dec 01 00:00:00 EST 2005},
month = {Thu Dec 01 00:00:00 EST 2005},
note =
}
