Wk 08. Verification and Validation within Cognitive Modeling of Individuals

Lecture Date: October 10, 2023 - Tuesday
Lecturer: Dr. William G. Kennedy

This presentation will be on the practice of V&V within the field of Cognitive Science and in particular Cognitive Modeling within Cognitive Science. The presentation will start with a demonstration of a cognitive phenomenon and a cognitive model of the human cognition behind it. Cognitive modeling will be introduced along with its relation to Artificial Intelligence. The practice of V&V in cognitive modeling relies on cognitive architectures and multiple lines of reasoning to support its models. The application of V&V to the ACT-R cognitive architecture and a specific cognitive model of intuitive learning will be discussed. One student will present the paper assigned for this week (PP 2).

Slides:

TBA

Assigned Reading (choose one for your SWA 4):

Paper Presentation 2 (PP 2): Vallverdú, J., Talanov, M., Distefano, S., Mazzara, M., Tchitchigin, A., & Nurgaliev, I. (2016). A cognitive architecture for the implementation of emotions in computing systems. Biologically Inspired Cognitive Architectures, 15, 34-40.
Kennedy, W.G. and Patterson, R.E. (2012) Modeling Intuitive Decision Making in ACT-R. In N. Rußwinkel, U. Drewitz, & H. van Rijn (Eds.) Proceedings of the 11th International Conference on Cognitive Modeling (ICCM 2012), pp 1-6. Berlin. (12-15 April 2012)

Recommended Reading:

Kennedy, W.G. (2011) Modelling Human Behavior in Agent-Based Models. Agent-Based Models of Geographical Systems, Part 2, pp 167-179. M. Batty, A. Heppenstall, and A. Crooks (Eds.) Springer.
Juvina, I., Collins, M. G., Larue, O., Kennedy, W. G., Visser, E. D., & Melo, C. D. (2019). Toward a unified theory of learned trust in interpersonal and human-machine interactions. ACM Transactions on Interactive Intelligent Systems (TiiS), 9(4), 1-33.
Modeling & Simulation Coordination Office (MSCO) (2012) Documentation of Verification, Validation & Accreditation (VV&A) for Models and Simulations. MIL-STD-3022. Retrieved from https://vva.msco.mil.
Sun, R., Wilson, N., & Lynch, M. (2016). Emotion: a unified mechanistic interpretation from a cognitive architecture. Cognitive Computation, 8(1), 1-14.