— Neural networks have been proposed as an ideal cognitive modeling methodology to deal with the symbol grounding problem. More recently, such neural network approaches have been...
: SimStudent is a machine-learning agent that learns cognitive skills by demonstration. It was originally developed as a building block of the Cognitive Tutor Authoring Tools (CTAT...
Noboru Matsuda, William W. Cohen, Jonathan Sewall,...
SimStudent is a machine-learning agent that learns cognitive skills by demonstration. SimStudent was originally built as a building block for Cognitive Tutor Authoring Tools to hel...
Noboru Matsuda, William W. Cohen, Jonathan Sewall,...
— Cognitive networks are the latest progression of cognitive functionality into the networking stack, an effort which began with a layer one and two focus on cognitive radios, an...
Muthukumaran Pitchaimani, Benjamin J. Ewy, Joseph ...
— We consider a point-to-multipoint cognitive radio network that shares a set of channels with a primary network. Within the cognitive radio network, a base station (BS) controls...
Abstract— Starting from the situated and embodied perspective on the study of biological cognition as a source of inspiration, this paper programmatically outlines a path towards...
Many classes of applications are inherently tolerant to errors. One such class are applications designed for a human end user, where the capabilities of the human cognitive system...
Research shows that most agent-based collaborations suffer from lack of flexibility. This is due to the fact that most agent-based applications assume pre-defined knowledge of age...
The following study investigated cognitive factors involved in applying the Perspective-Based Reading (PBR) technique for defect detection in software inspections. Using the proto...
Manifold initiatives try to utilize the operational principles of organisms and brains to develop alternative, biologically inspired computing paradigms. This paper reviews key fea...