On Cognitive Computing

Inspired by the latest development in cognitive informatics and contemporary denotational mathematics, cognitive computing is an emerging paradigm of intelligent computing methodologies and systems, which implements computational intelligence by autonomous inferences and perceptions mimicking the mechanisms of the brain. This article presents a survey on the theoretical framework and architectural techniques of cognitive computing beyond conventional imperative and autonomic computing technologies. Theoretical foundations of cognitive computing are elaborated from the aspects of cognitive informatics, neural informatics, and denotational mathematics. Conceptual models of cognitive computing are explored on the basis of the latest advances in abstract intelligence and computational intelligence. Applications of cognitive computing are described from the aspects of autonomous agent systems and cognitive search engines, which demonstrate how machine and computational intelligence may be generated and implemented by cognitive computing theories and technologies toward autonomous knowledge processing. [Article copies are available for purchase from InfoSci-on-Demand.com]

[1]  Yingxu Wang,et al.  The OAR Model of Neural Informatics for Internal Knowledge Representation in the Brain , 2007, Int. J. Cogn. Informatics Nat. Intell..

[2]  Yingxu Wang,et al.  On Abstract Intelligence: Toward a Unifying Theory of Natural, Artificial, Machinable, and Computational Intelligence , 2009, Int. J. Softw. Sci. Comput. Intell..

[3]  Yingxu Wang,et al.  On the cognitive processes of human perception , 2005, Fourth IEEE Conference on Cognitive Informatics, 2005. (ICCI 2005)..

[4]  Jean,et al.  The Computer and the Brain , 1989, Annals of the History of Computing.

[5]  Yingxu Wang,et al.  On Cognitive Informatics , 2002, Proceedings First IEEE International Conference on Cognitive Informatics.

[6]  Yingxu Wang,et al.  On System Algebra: A Denotational Mathematical Structure for Abstract System Modeling , 2008, Int. J. Cogn. Informatics Nat. Intell..

[7]  J. von Neumann,et al.  The Principles of Large-Scale Computing Machines , 1981, Annals of the History of Computing.

[8]  Yingxu Wang,et al.  On Visual Semantic Algebra (VSA): A Denotational Mathematical Structure for Modeling and Manipulating Visual Objects and Patterns , 2009, Int. J. Softw. Sci. Comput. Intell..

[9]  Daniel Rivero Cebrián,et al.  Soft Computing Methods for Practical Environment Solutions: Techniques and Studies , 2010 .

[10]  THOMAS L. OBERLIN.  IEEE TRANSACTIONS ON SYSTEMS , MAN , AND CYBERNEriCS , .

[11]  Yingxu Wang,et al.  Cognitive informatics models of the brain , 2006, IEEE Trans. Syst. Man Cybern. Syst..

[12]  A. Grafstein.  MIT Encyclopedia of the Cognitive Sciences , 2000 .

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

[14]  A. M. Turing,et al.  Computing Machinery and Intelligence , 1950, The Philosophy of Artificial Intelligence.

[15]  Yingxu Wang,et al.  On abstract intelligence and its denotational mathematics foundations , 2008, 2008 7th IEEE International Conference on Cognitive Informatics.

[16]  Yingxu Wang.  Engineering Foundations of Software Engineering , 2007 .

[17]  Christos H. Papadimitriou,et al.  Elements of the theory of computation, 2nd Edition , 1998 .

[18]  Yiyu Yao,et al.  On the System Algebra Foundations for Granular Computing , 2009, Int. J. Softw. Sci. Comput. Intell..

[19]  Yingxu Wang,et al.  Formal Description of the Mechanisms and Cognitive Process of Memorization , 2007, 6th IEEE International Conference on Cognitive Informatics.

[20]  Dino Mandrioli,et al.  Theoretical foundations of computer science , 1987 .

[21]  Yingxu Wang,et al.  On the cognitive process of human problem solving , 2010, Cognitive Systems Research.

[22]  Yingxu Wang,et al.  The Real-Time Process Algebra (RTPA) , 2002, Ann. Softw. Eng..

[23]  Yingxu Wang,et al.  Cognitive Informatics Foundations of Nature and Machine Intelligence , 2007, 6th IEEE International Conference on Cognitive Informatics.

[24]  Yingxu Wang,et al.  The Cognitive Process of Decision Making , 2007, Int. J. Cogn. Informatics Nat. Intell..

[25]  Yann-Gaël Guéhéneuc,et al.  A Theory of Program Comprehension: Joining Vision Science and Program Comprehension , 2009, Int. J. Softw. Sci. Comput. Intell..

[26]  Rongxin Li,et al.  A Multi-Agent Machine Learning Framework for Intelligent Energy Demand Management , 2011 .

[27]  Yingxu Wang,et al.  The Formal Design Model of an Automatic Teller Machine (ATM) , 2010, Int. J. Softw. Sci. Comput. Intell..

[28]  Suziah Sulaiman,et al.  An interactive visualization of Genetic Algorithm on 2-D graph , 2011, IEEE 10th International Conference on Cognitive Informatics and Cognitive Computing (ICCI-CC'11).

[29]  Yingxu Wang,et al.  Cognitive informatics models of the brain , 2006, IEEE Transactions on Systems, Man, and Cybernetics, Part C (Applications and Reviews).

[30]  Shushma Patel,et al.  A layered reference model of the brain (LRMB) , 2006, IEEE Transactions on Systems, Man, and Cybernetics, Part C (Applications and Reviews).

[31]  Yingxu Wang,et al.  Software Engineering Foundations: A Software Science Perspective , 2007 .

[32]  Yingxu Wang,et al.  The Theoretical Framework and Cognitive Process of Learning , 2007, 6th IEEE International Conference on Cognitive Informatics.

[33]  Christos H. Papadimitriou,et al.  Elements of the Theory of Computation , 1997, SIGA.

[34]  Yingxu Wang,et al.  RTPA: A Denotational Mathematics for Manipulating Intelligent and Computational Behaviors , 2008, Int. J. Cogn. Informatics Nat. Intell..

[35]  Jeffrey O. Kephart,et al.  The Vision of Autonomic Computing , 2003, Computer.

[36]  Paul D. Franzon,et al.  A multichip module design process for notebook computers , 1993, Computer.

[37]  Du Zhang,et al.  A Value-Based Framework for Software Evolutionary Testing , 2011, Int. J. Softw. Sci. Comput. Intell..

[38]  Yingxu Wang,et al.  Formal Description of the Cognitive Process of Memorization , 2009, Trans. Comput. Sci..

[39]  Yingxu Wang,et al.  On Contemporary Denotational Mathematics for Computational Intelligence , 2008, Trans. Comput. Sci..

[40]  Ling Guo,et al.  GA-Based Data Mining Applied to Genetic Data for the Diagnosis of Complex Diseases , 2010 .

[41]  Lotfi A. Zadeh,et al.  Please Scroll down for Article International Journal of General Systems Fuzzy Sets and Systems* Fuzzy Sets and Systems* , 2022 .

[42]  Roberto Natella,et al.  A Recovery-Oriented Approach for Software Fault Diagnosis in Complex Critical Systems , 2011, Int. J. Adapt. Resilient Auton. Syst..

[43]  Jan A. Bergstra,et al.  Real time process algebra , 1991, Formal Aspects of Computing.

[44]  Sameer Alam,et al.  Multi-Objective Optimization in Computational Intelligence: Theory and Practice , 2008 .

[45]  Yingxu Wang.  Cognitive Informatics: Towards Future Generation Computers that Think and Feel , 2006, 2006 5th IEEE International Conference on Cognitive Informatics.

[46]  Yingxu Wang,et al.  On Concept Algebra: A Denotational Mathematical Structure for Knowledge and Software Modeling , 2008, Int. J. Cogn. Informatics Nat. Intell..

[47]  Yingxu Wang,et al.  A Cognitive Informatics Reference Model of Autonomous Agent Systems (AAS) , 2009, Int. J. Cogn. Informatics Nat. Intell..

[48]  Alessandro Di Nuovo,et al.  Computational Intelligence to Speed-Up Multi-Objective Design Space Exploration of Embedded Systems , 2008 .

[49]  Witold Pedrycz,et al.  A Doctrine of Cognitive Informatics (CI) , 2009, Fundam. Informaticae.

[50]  A. M. Turing,et al.  Computing Machinery and Intelligence , 1950, The Philosophy of Artificial Intelligence.

[51]  Du Zhang,et al.  Advances in Machine Learning Applications in Software Engineering , 2007 .

[52]  David Sinreich,et al.  An architectural blueprint for autonomic computing , 2006 .