Rethinking cognitive architecture via graphical models

✍ Scribed by Paul S. Rosenbloom

• Book ID: 104014293
• Publisher: Elsevier Science
• Year: 2011
• Tongue: English
• Weight: 509 KB
• Volume: 12
• Category: Article
• ISSN: 1389-0417
• DOI: 10.1016/j.cogsys.2010.07.006

✦ Synopsis

Cognitive architectures need to resolve the diversity dilemma -i.e., to blend diversity and uniformity -in order to couple functionality and efficiency with minimality, integrability, extensibility and maintainability. Building diverse architectures upon a uniform implementation level of graphical models is an intriguing approach because of the homogeneous manner in which such models produce state-ofthe-art algorithms spanning symbol, probability and signal processing. To explore this approach a hybrid (discrete and continuous) mixed (Boolean and Bayesian) variant of the Soar architecture is being implemented via graphical models. Initial steps reported here, including a graphical implementation of production match and the beginnings of a mixed decision cycle incorporating a simple semantic memory, begin to show the potential of such an approach for cognitive architecture.