People adjust decisions based on their experiences; and it is important to know how to
shape these experiences effectively to improve their future decisions. We conducted …

Masking strategies for cyberdefense (ie, disguising network attributes to hide the real state of
the network) are predicted to be effective in simulated experiments. However, it is unclear …

Instance-based learning theory (IBLT) is a comprehensive account of how humans make
decisions from experience during dynamic tasks. Since it was first proposed almost two …

Achieving a level of dynamic and adaptive autonomy in cyber defense is highly desirable to
advance the capabilities of cyber defense to a whole new level of effectiveness. In such a …

This research investigates the email features that make a phishing email difficult to detect by
humans. We use an existing data set of phishing and ham emails and expand that data set …

Many models in Cognitive Science require data to calibrate parameters. Some modelers
calibrate their models' parameters for each individual in a data set, and others work at the …

Phishing is the practice of deceiving humans into disclosing sensitive information or
inappropriately granting access to a secure system. Unfortunately, there is a severe lack of …

Introduction Generative Artificial Intelligence has made significant impacts in many fields,
including computational cognitive modeling of decision making, although these applications …

Numerous studies of human user behaviours in cybersecurity tasks have used traditional
research methods, such as self-reported surveys or empirical experiments, to identify …

Cognitive architectures are computational implementations of unified theories of cognition.
The consensus of 50 years of research in cognitive architectures can be captured in the form …