This paper explores the relationship between dance and language in the light of recent findings from linguistics, cognitive neuroscience and evolutionary psychology. I will argue that at a formal level of sentence construction dance and language share many characteristics, but that the analogy breaks down at the level of meaning, reference, truth and function. With this in mind, I will argue th...

Cognitive radio represents an efficient way to utilize the available spectrum in Wireless networks by offering the unlicensed users (Secondary users) the opportunity to use an available spectrum for the licensed users (Primary users) when they are not active. In this paper, some cognitive MAC protocols are discussed with a brief introduction to Multi Channel MAC protocols.

Cognitive Tutors are primarily developed as instructional systems, with the goal of helping students learn. However, the systems are inherently also data collection and assessment systems. In this paper, we analyze data from over 3,000 students in a school district using Carnegie Learning’s Middle School Mathematics tutors and model performance on standardized tests. Combining a standardized pr...

What are the characteristics of long-term learning? We investigated the characteristics of long-term, symbolic learning using the Soar and ACT-R cognitive architectures running cognitive models of two simple tasks. Long sequences of problems were run collecting data to answer fundamental questions about long-term, symbolic learning. We examined whether symbolic learning continues indefinitely, ...

background several lines of evidence suggest that early sensory stimulation and regular family visiting programs are potential nursing interventions to improve the outcomes of head injured comatose patients. however, little is known about the impacts of family involvement in providing sensory stimulation. objectives to determine the effects of a sensory stimulation program conducted by nurses a...

Recently, Fuzzy Grey Cognitive Maps (FGCM) has been proposed as a Grey System theory-based FCM extension. Grey systems have become a very effective theory for solving problems within environments with high uncertainty, under discrete small and incomplete data sets. The benefits of FGCMs over conventional FCMs make evident the significance of developing a greyness-based cognitive model such as F...

Within the general objective of conceiving a cognitive architecture for image interpretation able to generate outputs relevant to several target user profiles, the paper elaborates on a set of operations that should be provided by a cognitive space to guarantee the generation of relevant descriptions. First, it attempts to define a working definition of contrast operation. Then, revisiting well...

This paper describes a cognitive modeling effort for the O’Hare Modernization Project (OMP). Beginning with a statement of the problem, it describes how cognitive modeling was used to measure the mental workload and work time of controllers running various positions at O’Hare International Airport, both under the current airport configurations and a future set of configurations (proposed in the...

While computational cognitive modeling has made great strides in addressing complex dynamic tasks, the modeling of individual differences in complex tasks remains a largely unexplored area of research. In this paper we present a straightforward approach to modeling individual differences, specifically age-related cognitive differences, in complex tasks, and illustrate the application of this ap...

This special issue of Cognitive Systems Research presents a collection of remarkable papers on cognitive modeling based on communications delivered at ICCM-2006, the Seventh International Conference on Cognitive Modeling (Fum, Del Missier, & Stocco, 2006) held in Trieste, Italy, from April 5th to 8th, 2006. Being the organizers and chairmen of the conference, we have been invited to serve as gu...