Abstract
Historically, cognitive modeling has been an exercise in theory confirmation. “Cognitive architectures” were advanced as computational instantiations of theories that could be used to model various aspects of cognition and then be put to empirical test by comparing the simulation-based predictions of the model against the actual performance of human subjects. More recently, cognitive architectures have been recognized as potentially valuable tools in the development of software agents—intelligent routines that can either mimic or support human performance in complex domains. While the introduction of cognitive architectures to what has been regarded as the exclusive province of artificial intelligence is a welcome turn, the history of cognitive modeling casts a long shadow. In particular, there is a tendency to apply cognitive architectures as monolithic, one-off solutions. This runs counter to many of the best practices of modern software engineering, which puts a premium on developing modular and reusable solutions. This paper describes the development of a novel software infrastructure that supports interoperability among cognitive architectures.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Similar content being viewed by others
References
Bishop, M., et al.: Insider threat identification by process analysis. In: IEEE Security and Privacy Workshops, pp. 251–264. IEEE, San Josep (2014)
Anderson, J.R., Lebiere, C.: The Atomic Components of Thought. Erlbaum, Mahwah (1998)
Newel, A.: Unified Theories of Cognition. Harvard University Press, Cambridge (1994)
Gluck, K.A.: Cognitive architectures for human factors in aviation. In: Salas, E., Maurino, D. (eds.) Human Factors in Aviation, 2nd edn, pp. 375–400. Elsevier, New York (2010)
John, B.E., et al.: Predictive human performance modeling made easy. In: SIGCHI Conference on Human Factors in Computing Systems, pp. 455–462. Association for Computing Machinery (2004)
Pew, R., Mavor, A.S. (eds.): Modeling Human and Organizational Behavior: Applications to Military Simulations. National Academy Press, Washingto, D.C. (1998)
Stacy, W., et al.: Agents from the future. In: I/ITSEC. National Training and Simulation Association, Orlando, FL (2017)
Pew, R., Gluck, K.A. (eds.): Modeling Human Behavior with Integrated Cognitive Architectures: Comparison, Evaluation, and Validation. Lawrence Erlbaum Associates, Mahwah (2005)
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2019 Springer International Publishing AG, part of Springer Nature
About this paper
Cite this paper
Warwick, W., Lebiere, C., Rodgers, S. (2019). No Representation Without Integration! Better Cognitive Modeling Through Interoperability. In: Cassenti, D. (eds) Advances in Human Factors in Simulation and Modeling. AHFE 2018. Advances in Intelligent Systems and Computing, vol 780. Springer, Cham. https://doi.org/10.1007/978-3-319-94223-0_32
Download citation
DOI: https://doi.org/10.1007/978-3-319-94223-0_32
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-94222-3
Online ISBN: 978-3-319-94223-0
eBook Packages: Intelligent Technologies and RoboticsIntelligent Technologies and Robotics (R0)