Cognitive modeling is the distinguishing factor of cognitive science and the method of choice for formalizing human cognition. In order to bridge the gap between logic and human reasoning, a number of foundational research questions need to be rigorously answered. The objective of this paper is to present relevant concepts and to introduce possible modeling standards as well as key discussion p...

Moral reasoning plays a significant but poorly understood role in human action and interaction. Although studied by philosophers for millennia, considerable confusion surrounds the topic. Computational cognitive architectures hold promise for shedding insight on how agents act and reason morally. We present a view of moral cognition and examine one implementation of that view in Icarus, a theor...

The original goals of the work described in the target paper were threefold. First, I wanted to encourage a direct confrontation of situated, embodied, and dynamical ideas with cognitive phenomena, in the hopes of furthering debate on the role of these ideas in cognitive science. Second, I wanted to describe a specific research methodology that could concretely ground such a debate, and to illu...

We present a method to simultaneously search for student-level variables constructed from Cognitive Tutor log data and graphical causal models. We seek causal explanations of behavior in Cognitive Tutors, including “gaming the system” and off-task behavior, selecting variables by their contribution to causal structure and strength learning.

This study rests on the two basic ideas: that there has been a visible development of cognitive skills from the Antiquity to nowadays, and that the text analysis is the only way to bring it out. The author addresses the three eminent works: Euclid’s Elements and the historical treatises by Herodotus and Thucydides to reveal the notable peculiarities of the Ancient Greeks’ cognitive style in com...

Pezzulo (2008, 2011) and Grush (2004) contend for embodied cognitive science but interpret representations of motor behaviors as grounded on predictive internal models; those representations are referring-based. By contrast, the present paper contends that the motor control is ground on both referring-based representation (as manifest in forward models) and non-referring-based representation (a...

Modular-functional decomposition is a fundamental tenet of Computer Science. Cognitive Robotics, with strong roots in Cognitive Science and Biology, replaces modularfunctional decomposition with a more opportunistic approach. Nonetheless, we can extract heuristics with both analytic and synthetic power: architectural principles for neo-modular systems. This paper describes three neo-modular pri...

Shape recognition is a holy grail of computer vision and a great wonder in the field of cognitive science. However surprisingly little is known about how this is done. In this survey the shear magnitude of the challenge will be explored in great detail with emphasis on how large search spaces in space time, the need for generalization make the task difficult.