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Cognitive Saliency of Features in Cyber-attacker Decision Making

Authors
Dr. Edward Cranford
Institute for Human and Machine Cognition ~ Healthspan, Resilience & Performance
Sterling Somers
Carnegie Mellon University ~ Psychology
Konstantinos Mitsopoulos
Carnegie Mellon University ~ Robotics Institute
Christian Lebiere
Department of Psychology, Carnegie Mellon University, Pittsburgh, PA 15213 USA
Abstract

While much is known about how humans make decisions based on the recency, frequency, and similarity of past experiences, much less is known about how humans weigh the contextual features and the impact it has on decisions. The present study uses a novel method of introspecting into a cognitive model of human decision making in an abstract cyber security game to gain insight about the cognitive salience of the features. The results show that cognitive salience can provide valuable evidence about how and why individuals make their decisions. The implications of these results are discussed with regard to theory and application.

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Cite this as:

Cranford, E. A., Somers, S., Mitsopoulos, K., & Lebiere, C. (2020, July). Cognitive Saliency of Features in Cyber-attacker Decision Making. Paper presented at Virtual MathPsych/ICCM 2020. Via mathpsych.org/presentation/195.