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A common practice in cognitive modeling is to develop new models specific to each particular task. We question this approach and draw on an existing theory, instance-based learning theory (IBLT), to explain learning behavior in three different choice tasks. The same instance-based learning model generalizes accurately to choices in a repeated binary choice(More)
This paper presents a case of parsimony and generalization in model comparisons. We submitted two versions of the same cognitive model to the Market Entry Competition (MEC), which involved four-person and two-alternative (enter or stay out) games. Our model was designed according to the Instance-Based Learning Theory (IBLT). The two versions of the model(More)
In a corporate network, the situation awareness (SA) of a security analyst is of particular interest. A security analyst is in charge of observing the online operations of a corporate network (e.g., an online retail company with an external webserver and an internal fileserver) from threats of random or organized cyber-attacks. The current work describes a(More)
Three experiments simulating military RADAR detection addressed a training difficulty hypothesis (training with difficulty promotes superior later testing performance) and a procedural reinstatement hypothesis (test performance improves when training conditions match test conditions). Training and testing were separated by 1 week. Participants detected(More)
We analyze the dynamics of repeated interaction of two players in the Prisoner's Dilemma (PD) under various levels of interdependency information and propose an instance-based learning cognitive model (IBL-PD) to explain how cooperation emerges over time. Six hypotheses are tested regarding how a player accounts for an opponent's outcomes: the selfish(More)
We developed a system dynamics model for a simple, but important stock and flows task where the objective was to control the water level in a tank within an acceptable range of the goal, over a number of time periods, in the presence of an unknown environmental inflow and outflow. We also report how this model accounts for human behavior, using behavioral(More)
This paper presents an interactive simulation of the effects of emissions and absorptions of anthropogenic carbon dioxide (CO 2) in the atmosphere. The interactive simulation based on the " bathtub " metaphor, was built using the Dynamic Integrated Climate Economy model (DICE)-1992. The interactive tool allows participants to make decisions on the(More)
OBJECTIVE To determine the effects of an adversary's behavior on the defender's accurate and timely detection of network threats. BACKGROUND Cyber attacks cause major work disruption. It is important to understand how a defender's behavior (experience and tolerance to threats), as well as adversarial behavior (attack strategy), might impact the detection(More)