Sandia Cognitive Rsch. Environ.: Associative Network and Situation Recognition C

Software · Thu Dec 11 00:00:00 EST 2003

OSTI ID:1230705

Xavier, Patrick G.; Lippitt, Carl E.

The software implements core elements of the SCORE Cognitive Framework. This Associative Network and Situation Recognition core is implemented in the Umbra simulation and modular software framework, which is C++-based. An instance of the cognitive framework “kernel” is implemented as a network of Umbra modules (Gottlieb, et al, 2002) comprising a Concepts Database, an Associative Network, a Situation Recognizer, a Comparator, and a Situations-Concept Driver. At initialization, these modules load the data files that together specify all the components of a particular cognitive model, such as concept declarations, situation declarations, spreading activation weights, and situation-cue-patterns. The software also includes a Discrepancy Detector class for detecting, overtime, discrepancies between instances of situations and occurrences of actions, A Discrepancy Detector can be incorporated into a system that includes, in addition to the network of modules above, software that monitors when a user performs an action and that passes this information to the Discrepancy Detector module, At initialization, the Discrepancy Detector module in such a system reads in data file specifying action declarations, the expectations of action instances due to a situation instance, and actions that should be considered discrepant when an instance is not expected. The figure below illustrates a prototype system incorporating a Discrepancy Detector module.

• Short Name / Acronym: SCRE:ANSRC; 001704MLTPL00
• Site Accession Number: Sandia National Laboratory
• Version: 00
• Programming Language(s): Medium: X; OS: Windows and Linux
• Research Organization: Sandia National Laboratories (SNL), Albuquerque, NM, and Livermore, CA (United States)
• Sponsoring Organization: USDOE
• DOE Contract Number: 153020129
• OSTI ID: 1230705
• Country of Origin: United States