Diagnostic classification is an important part of clinical care, which is often the main determinant of treatment and prognosis. Clinicians’ underor over-confidence in their performance on diagnostic tasks can result in diagnostic errors which can lead to delay in appropriate treatment and unnecessary increase in the cost of medical care. This paper presents a version of SlideTutor aiming to re...

We present a task-independent learning procedure which produces gradual performance improvement through experience on a perceptual-motor ask. It utilizes a data structure that represents a strategy for performing the task. This learning procedure is a direct result of the constraints that occur when realistic perceptual and motor mechanisms (EPIC) are mated to a learning cognitive modeling arch...

Gaming the system, a behavior where students disengage from a learning environment and attempt to succeed by exploiting properties of the system, has been shown to be associated with lower learning. Machine learned and knowledge engineered models have been created to identify gaming behaviors, but few efforts have been made to precisely identify how experts code gaming behaviors. In this paper,...

Although the Cognitive Tutor: Algebra-1 is effective at increasing individual learning, it lacks support for collaboration between students. We intend to explore the potential benefits of integrating a mutual peer tutoring script with the cognitive tutors, such that students take turns tutoring each other on problem-solving tasks, rather than being tutored directly by the computer. The script i...

In this short paper, we argue that there are two conflicting agendas at play in the design of cognitive architectures. One is principled: to create a model of cognition and gain an understanding of cognitive processes. The other is practical: to build useful systems that have a cognitive ability and thereby provide robust adaptive behaviour that can anticipate events and the need for action. Th...

The approaches to the trust study are various and very different each of other. In our view, just a socio-cognitive approach to trust would be able to analyze the sub-components (the basic beliefs) on which the final decision to trust or not is taken. In this paper we show a first implementation and advance of the socio-cognitive model of trust developed in [1, 2] using the so-called Fuzzy Cogn...

Transitivity in trust is very often considered as a quite simple property, trivially inferable from the classical transitivity defined in mathematics, logic, or grammar. In fact the complexity of the trust notion suggests evaluating the relationships with the transitivity in a more adequate way. In this paper, starting from a socio-cognitive model of trust, we analyze the different aspects and ...

In order to better understand how humans acquire knowledge, one of the essential goals in cognitive science is to build a cognitive model of human learning. Moreover, a cognitive model that better matches student behavior will often yield better instruction in intelligent tutoring systems. However, manual construction of such cognitive models is time consuming, and requires domain expertise. Fu...

We describe an improved version of the Able cognitive model that exhibits a novice to expert transition in solving physics problems. The initial model was written by Larkin and initially translated into Soar (ver. 4) by Levy. In revising it to run in the latest version of Soar (7.0.4), we have updated it to be an exemplar of an understandable and reusable cognitive model. It includes graphic di...

When it comes to decision making, the dominant view suggests that engaging in a detailed analytical thought process is more beneficial than deciding based on one’s feelings. However, there seems to be a tradeoff, as the complexity and amount of elements on which to base the decision increases, decisions based on affect seem to be more accurate than decisions based on a thorough analytical proce...