DOKGETT - an authoring tool for cognitive model-based generation of the knowledge

2005 ◽  
Author(s):  
M. Najjar ◽  
P. Fournier-Viger ◽  
A. Mayers ◽  
J. Halle
Keyword(s):  
Cognitive Model ◽  
Authoring Tool ◽  
Model Based

Model-Based Simulation to Examine Command and Control Issues with Remotely Operated Vehicles

2008 ◽  
pp. 199-218 ◽  
Author(s):  
Sasanka Prabhala ◽  
Subhashini Ganapathy ◽  
S. Narayanan ◽  
Jennie J. Gallimore ◽  
Raymond R. Hill
Keyword(s):  
Cognitive Model ◽  
Command And Control ◽  
Simulation Models ◽  
High Fidelity ◽  
Remotely Operated Vehicles ◽  
Design Concepts ◽  
Model Based ◽  
Critical Issues ◽  
Commercial Applications ◽  
And Control

With increased interest in the overall employment of pilotless vehicles functioning in the ground, air, and marine domains for both defense and commercial applications, the need for high-fidelity simulation models for testing and validating the operational concepts associated with these systems is very high. This chapter presents a model-based approach that we adopted for investigating the critical issues in the command and control of remotely operated vehicles (ROVs) through an interactive model-based architecture. The domain of ROVs is highly dynamic and complex in nature. Hence, a proper understanding of the simulation tools, underlying system algorithms, and user needs is critical to realize advanced simulation system concepts. Our resulting simulation architecture integrates proven design concepts such as the model-view-controller paradigm, distributed computing, Web-based simulations, cognitive model-based high-fidelity interfaces and object-based modeling methods.

scholarly journals Model-based cognitive neuroscience: Multifield mechanistic integration in practice

2019 ◽  
Vol 29 (5) ◽  
pp. 640-656 ◽  
Author(s):  
Mark Povich
Keyword(s):  
Cognitive Neuroscience ◽  
Model Building ◽  
Cognitive Model ◽  
Structure And Function ◽  
Theory Construction ◽  
Neural Structure ◽  
Model Based ◽  
Functional Realization ◽  
And Function ◽  
Subset Account

Autonomist accounts of cognitive science suggest that cognitive model building and theory construction (can or should) proceed independently of findings in neuroscience. Common functionalist justifications of autonomy rely on there being relatively few constraints between neural structure and cognitive function. In contrast, an integrative mechanistic perspective stresses the mutual constraining of structure and function. In this article, I show how Model-Based Cognitive Neuroscience (MBCN) epitomizes the integrative mechanistic perspective and concentrates the most revolutionary elements of the cognitive neuroscience revolution. I also show how the prominent subset account of functional realization supports the integrative mechanistic perspective I take on MBCN and use it to clarify the intralevel and interlevel components of integration.

A cognitive model-based approach for autonomic fault management in OpenFlow networks

2013 ◽  
Vol 23 (6) ◽  
pp. 383-401 ◽  
Author(s):  
Sungsu Kim ◽  
Joon-Myung Kang ◽  
Sin-seok Seo ◽  
James Won-Ki Hong
Keyword(s):  
Cognitive Model ◽  
Fault Management ◽  
Model Based

Cognitive model based fashion style decision making

2012 ◽  
Vol 39 (5) ◽  
pp. 4972-4977 ◽  
Author(s):  
Jiyun Li ◽  
Yilei Li
Keyword(s):  
Decision Making ◽  
Cognitive Model ◽  
Model Based
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