This paper reports a formative analysis of a Math Modeling Tool in the Algebra II Cognitive Tutor. This tutor is designed to support algebraic reasoning about real world problems. This study focuses on reasoning about situations that can be modeled with general linear form expressions (c = ax + by). Formative evaluations of an early general linear form lesson showed that it helped students comp...

Cognitive modelling in intelligent tutoring systems aims at identifying a learner’s skills and knowledge from his answers to tutor questions and other observed behaviour. In this paper, we propose an innovative variant of Shapiro’s algorithmic debugging technique whose application can be used to pin-point learners’ erroneous behaviour in terms of an irreducible disagreement to the execution tra...

In 2005, Woods described the epistemic bubble as an immunized state of human cognition that compromises the awareness of the agent about her beliefs and knowledge. The idea of an immunized knower swung with the proposal advanced by Gabbay and Woods of constructing a practical logic and epistemology, which can actually define itself as agent-centered, goal-oriented, and resource-bound. In order ...

We evaluate an algorithm which computes the responses of an agent that plays the role of a suspect in simulations of police interrogations. The algorithm is based on a cognitive model the response model that is centred around keeping track of interpersonal relations. The model is parametrized in such a way that different personalities of the virtual suspect can be defined. In the evaluation we ...

Obesity is a concern worldwide with an increasing proportion of people overweight or obese. Research has focused on preventive programs with numerous health behaviour change interventions (e.g. Hardeman et al., 2000 and Noar et al., 2007), and the development of technologies promoting healthy living and supporting behaviour change (e.g. Consolvo et al., 2008 and Mattila et al., 2008). Intervent...

Games of timing reflect dynamic decision-making under uncertainty, as it takes place in many real-world situations, including health care, safety and security. Rather than making discrete decisions, participants choose one or more points in time that determine the outcome. We study individual’s biases and characteristics in such games of timing. We examine risk propensity as a personal preferen...

A large-scale content analysis of characters in video games was employed to answer questions about their representations of gender, race and age in comparison to the US population. The sample included 150 games from a year across nine platforms, with the results weighted according to game sales. This innovation enabled the results to be analyzed in proportion to the games that were actually pla...

We apply a cognitive modeling approach to the problem of measuring expertise on rank ordering tasks. In these tasks, people must order a set of items in terms of a given criterion. Using a cognitive model of behavior on this task that allows for individual differences in knowledge, we are able to infer people’s expertise directly from the rankings they provide. We show that our model-based meas...

When it comes to road traffic, there seems to be no parameter more essential than the driver himself. Currently, there are many models available, which can be used to describe a driver’s behavior for a traffic simulation. Nevertheless, despite the rich offer of available formalisms it is our opinion that existing approaches do not comply with psychological models. In this work we determine the ...

We propose applying the categorical compositional scheme of [6] to conceptual space models of cognition. In order to do this we introduce the category of convex relations as a new setting for categorical compositional semantics, emphasizing the convex structure important to conceptual space applications. We show how conceptual spaces for composite types such as adjectives and verbs can be const...