Computational Framework For Knowledge

Author: Syed V. Ahamed
Publisher: John Wiley & Sons
ISBN: 9780470480410
Size: 43.66 MB
Format: PDF, ePub, Docs
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"Intriguing . . . [filled with] new ideas about overarching intellectual themes that govern our technologies and our society." —Nikil Jayant, Eminent Scholar, Georgia Research Alliance "Dr. Ahamed is correct in observing that 'silicon and ...

Current Trends In Knowledge Acquisition

Author: Bob Wielinga
Publisher: IOS Press
ISBN: 9789051990362
Size: 17.89 MB
Format: PDF, ePub, Docs
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... Abstract lf knowledge-based systems are to become more competent and
robust in solving real world problems, they need to be able to adapt to an
evolving domain and a changing environment This paper proposes a
computational mode) - a framework - for knowledge-intensive problem solving
and leaming from experience. The model has been instantiated in an architecture
for knowledge-intensive case-based reasoning and leaming called CREEK (
Case-based Reasoning ...

Social Networks A Framework Of Computational Intelligence

Author: Witold Pedrycz
Publisher: Springer
ISBN: 3319029932
Size: 16.64 MB
Format: PDF
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This volume provides the audience with an updated, in-depth and highly coherent material on the conceptually appealing and practically sound information technology of Computational Intelligence applied to the analysis, synthesis and ...

Instructional Models In Computer Based Learning Environments

Author: Sanne Dijkstra
Publisher: Springer Science & Business Media
ISBN: 9783540561590
Size: 31.64 MB
Format: PDF, Mobi
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Barbara J. Wasson Research Department, Norwegian Telecom1, Postboks 2806
Elverh((iy, N-9001 Tromsij), Norway Abstract: An investigation of the dimensions
of knowledge required to make pedagogical content decisions has been
conducted and an approach to designing an instructional component which
represents and reasons about this knowledge is presented. PEPE is a
competence- based computational framework for a content planner that views
pedagogical decision ...

Next Generation Knowledge Machines

Author: Syed V. Ahamed
Publisher: Elsevier
ISBN: 0124166695
Size: 19.94 MB
Format: PDF, ePub
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He has authored and coauthored several books in two broad areas of intelligent
AI-based broadband multimedia networks and computational framework for
knowledge. His doctoral students have continued to contribute to knowledge
processing systems and wisdom machines proposed by him during 1999 to 2007
. In 2004, he wrote the book on Scientific Innovation, for new doctoral students
based on his teaching and mentoring the best of his 20 Ph.D. students at the
Graduate ...

Advances In Neuro Information Processing

Author: Mario Köppen
Publisher: Springer Science & Business Media
ISBN: 3642024890
Size: 57.39 MB
Format: PDF
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15th International Conference, ICONIP 2008, Auckland, New Zealand, November
25-28, 2008, Revised Selected Papers Mario Köppen, Nikola Kasabov, George
Coghill. Integrative Probabilistic Evolving Spiking Neural Networks Utilising
Quantum Inspired Evolutionary Algorithm: A Computational Framework Nikola
Kasabov Knowledge Engineering and Discovery Research Institute, KEDRI
Auckland University of Technology, Auckland, New Zealand ...

A Computational Framework For Uncertainty Quantification In Fibre Reinforced Composites From Observation To Computation

Publisher: Doo Bo Chung
ISBN: 9090215824
Size: 79.35 MB
Format: PDF, ePub, Docs
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This facilitates the tailoring of iterative solution algorithms to maximise the benefit
of having prior knowledge of the system matrix layout. Several authors discuss
the solution of systems of equations resulting from a spectral stochastic modelling
approach. The following provides an overview of the various approaches
available for spectral stochastic finite element solution strategies. Le Maître et. al.
1 discuss the use of a multigrid approach. Lawrence2 advocates Block Gauss-
Jacobi ...

Artificial Intelligence In Real Time Control 1991

Author: M.G. Rodd
Publisher: Elsevier
ISBN: 1483298108
Size: 28.79 MB
Format: PDF, Kindle
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The results, however, can easily be transferred to another computational
framework. Keywords. Real time computer systems, knowledge-based real time
control; artificial intelligence; adaptive systems; cognitive systems; control
engineering applications of computers; intelligent machines. KNOWLEDGE-
BASED REAL TIME CONTROL Current computer-based discrete controllers are
basically simple translations of sets of differential equations or logical equations
into sentences of ...