Architectural design by cognitive computing

Cognition is one of the important and ubiquitous manifestations of human mind. Cognition is a subject of cognitive science which spans cognitive psychology, neurobiology and computational intelligence of engineering sciences. In this work the computational cognition is the subject-matter for investigation and architectural design is the particular application goal in mind. It is the essential mechanism in design involving novelty, creativity and elegance. Due to the complexity of the cognition phenomenon, its characteristic properties have not been fully understood and therefore reproduced computationally up till now. This research aims to establish a novel computational model for cognition and also comprehension which is a deeper but more essential concept relevant to human mind activity. It simulates the cognitive activity based on the mind activity of human so far assumed to be known to us. The outcome of this computational brain research is exemplified by an architectural design task demonstrating its effectiveness in actual use in real-life executions.

[1]  Michael S. Bittermann,et al.  Generic cognitive computing for cognition , 2015, 2015 IEEE Congress on Evolutionary Computation (CEC).

[2]  Dr. Zbigniew Michalewicz,et al.  How to Solve It: Modern Heuristics , 2004 .

[3]  Dirk Söffker,et al.  A Cognitive-Oriented Architecture to Realize Autonomous Behavior - Part I: Theoretical Background , 2006, 2006 IEEE International Conference on Systems, Man and Cybernetics.

[4]  E. Stengel,et al.  Biology of Mind , 1965 .

[5]  Edward E. Smith,et al.  Cognitive Psychology: Mind and Brain , 2006 .

[6]  Theodore W. Berger,et al.  The Neurobiological Basis of Cognition: Identification by Multi-Input, Multioutput Nonlinear Dynamic Modeling , 2010, Proceedings of the IEEE.

[7]  Aaas News,et al.  Book Reviews , 1893, Buffalo Medical and Surgical Journal.

[8]  Dharmendra S. Modha,et al.  Cognitive Computing , 2011, Informatik-Spektrum.

[9]  Michael S. Bittermann,et al.  Architectural design computing supported by multi-objective optimization , 2015, 2015 IEEE Congress on Evolutionary Computation (CEC).

[10]  Kalyanmoy Deb,et al.  A fast and elitist multiobjective genetic algorithm: NSGA-II , 2002, IEEE Trans. Evol. Comput..

[11]  Yingxu Wang,et al.  The Theoretical Framework of Cognitive Informatics , 2007, Int. J. Cogn. Informatics Nat. Intell..

[12]  Michael S. Gazzaniga,et al.  The Cognitive Neurosciences IV , 2014 .

[13]  P. Tibbetts.  :Cognitive Neuroscience: The Biology of the Mind , 2009 .

[14]  Amit Konar,et al.  Cognitive Engineering - A Distributed Approach to Machine Intelligence , 2005, Advanced Information and Knowledge Processing.