A COGNET/iGEN Cognitive Model That Mimics Human Performance and Learning in a Simulated Work Environment
Wayne W. Zachary, Joan M. Ryder, JAMES M. STOKES, Floyd A. Glenn, Jean-Christophe Le Mentec, Thomas P. Santarelli · Psychology Press eBooks · 2006
COGNET is an executable cognitive architecture (see Pew & Mavor, 1998), although unlike most analogous systems it was created for engineering purposes (i.e., as a vehicle for creating practical applications), rather than as a platform for generating and/or testing psychological theory. Originally created as an engine to embed user models into intelligent interfaces (Zachary, Ryder, Ross, & Weiland, 1992), the system has been generalized and extended over time to create a flexible framework for building cognitive agents for use in intelligent training, decision support, and human performance modeling (see Zachary, Ryder, Santarelli, & Weiland, 2000). iGEN is an integrated software development environment that supports the authoring, editing, debugging, and integrating of COGNET models (Zachary & LeMentec, 1999). After describing the COGNET/iGEN framework, this chapter presents the results of its application to the AMBR modeling problems.