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...

A student, supported by his classmates, throws a piece of chalk at the teacher who is writing on the blackboard. The teacher rapidly turns back and promptly catches him in the act. The student blushes and suddenly realizes how bad it was what he did. What happened to the guy? Why did he decide to throw the piece of chalk? And why, after a few seconds, he would have liked that what he did had ne...

This paper presents a progress development results of Virtual intelligent interface based on human facial and voice recognition. We this is new challenge for sensing the user emotional space and interact with it. It is part of the cognitive spatial design needed to have the mentality of the designer been part of the system recognition. This is experimental built prototype. We think that the pra...

Given the important role that meta-cognitive processes play in learning, intelligent tutoring systems should not only provide domain-specific assistance, but should also aim to help students in acquiring meta-cognitive skills. As a step toward this goal, we have constructed a Help Tutor, aimed at improving students’ help-seeking skill. The Help Tutor is based on a cognitive model of students’ d...

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 ...

There has been an upsurge of research in psychology on the interface between motivation and cognition. Much of this work has focused on elucidating the structure of the motivational system, although this work has also begun to examine the influence of motivation on preference, choice and learning. The growing body of data provides an opportunity for computationally minded researchers to extend ...

In this paper, the author elaborates on the feasibility of a framework that uses fuzzy chain-of-thought structures. The emphasis is on how inference and decision making can be achieved using these cognitive structures. Applications in cognitive diagnosis, such as intelligent tutoring systems and cognitive modeling, are also discussed.