Complex problem solving typically involves the generation of a procedure consisting of an ordered sequence of steps. Analogical reasoning is one strategy for solving complex problems, and visual reasoning is another. Visual analogies pertain to analogies based only on visual knowledge. In this paper, we describe the use of Galatea, a computational model of visual analogies in problem solving, t...

The phenomenology of agency and perception is probably underpinned by a common cognitive system based on generative models and predictive coding. I defend the hypothesis that this cognitive system explains core aspects of the sense of having a self in agency and perception. In particular, this cognitive model explains the phenomenological notion of a minimal self as well as a notion of the narr...

We examined in this review article the behavioural and conceptual models of motor control and short-term memory which have intensively been investigated since the 1970s. First, we reviewed both the dual-storage model of short-term memory in which movement information is stored and a typical model of motor control which emphasizes the importance of efferent factors. We then examined two models o...

The gold standard for cognitive science is transdisciplinary cognitive modeling of human behavior evaluated by quantitative comparisons with experiments involving human participants. However, this restrictive standard excludes much work in the history of cognitive science, and we argue sticking to this strict definition would impede future work in the field. In this paper, we examine conception...

The analytic enquiry of deontic modalities (obligatory, permitted, etc.) has been developed before and independently of the logic modelling of mental attitudes, of cognitive agent architecture, and of social interaction; it taken place following the blue print of non-deontic modalities (necessary; possible). We might consider this kind of approach and this use of the logic as basically anti-men...

The goal of our research is to investigate whether a Cognitive Tutor can be made more effective by extending it to help students acquire help-seeking skills. We present a preliminary model of help-seeking behavior that will provide the basis for a Help-Seeking Tutor Agent. The model, implemented by 57 production rules, captures both productive and unproductive help-seeking behavior. As a first ...

With a number of students, the purpose of collaborative learning is to assign these students to the right teams so that the promotion of skills of each team member can be facilitated. Although some team formation solutions have been proposed, the problem of extracting more effective features to describe the skill proficiency of students for better collaborative learning is still open. To that e...

Cognitive modeling typically predicts the externally observable results of tasks and psychological experiments such as participant reaction times and error rates. To understand better the neural processes associated with cognition and behavior, it is necessary to model the internal processes. In this paper, we present a method of building a cognitive model of a simple visual selective-attention...

The Psi theory of human action regulation is a candidate for a cognitive architecture that tackles the problem of the interrelation of motivation and emotion with cognitive processes. We have transferred this theory into a cognitive modeling framework, implemented as an AI architecture, called MicroPsi. Here, we describe the main assumptions of the Psi theory and summarize a neural prototyping ...

Technology-based, interactive test questions are common in large-scale assessments, yet how alternative question formats influence test-taker cognition is not well understood. In a series of studies, we investigated test-taker performance on isomorphic questions using alternative presentation layouts and modes of responding. Adult participants solved math problems in three formats, each of whic...