On Abstract Intelligence and Brain Informatics: Mapping Cognitive Functions of the Brain onto its Neural Structures

A key notion in abstract intelligence and cognitive informatics is that the brain and natural intelligence may only be explained by a hierarchical and reductive theory that maps the brain through the embodied neurological, physiological, cognitive, and logical levels from bottom-up induction and top-down deduction. This paper presents an abstract intelligence framework for modeling the structures and functions of the brain across these four levels. A set of abstract intelligent model, cognitive functional model, and neurophysiological model of the brain is systematically developed. On the basis of the abstract intelligent models of the brain at different levels, the conventionally highly overlapped, redundant, and even contradicted empirical observations in brain studies and cognitive psychology may be rigorously clarified and neatly explained. The improved understanding about the brain has led to the development of a wide range of novel technologies and systems such as cognitive computers, cognitive robots, and other applied cognitive systems.

[1]  Yingxu Wang,et al.  On Neuroinformatics: Mathematical Models of Neuroscience and Neurocomputing , 2012 .

[2]  Jianhua Lu,et al.  Perspectives on the Field of Cognitive Informatics and its Future Development , 2011, Int. J. Cogn. Informatics Nat. Intell..

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

[4]  Yingxu Wang Transdisciplinary Advancements in Cognitive Mechanisms and Human Information Processing , 2011 .

[5]  Yingxu Wang,et al.  Toward Theoretical Foundations of Autonomic Computing , 2007, Int. J. Cogn. Informatics Nat. Intell..

[6]  Yingxu Wang,et al.  Semantic Manipulations and Formal Ontology for Machine Learning based on Concept Algebra , 2011, Int. J. Cogn. Informatics Nat. Intell..

[7]  Yingxu Wang,et al.  On Cognitive Computing , 2009, Int. J. Softw. Sci. Comput. Intell..

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

[9]  Yingxu Wang Neuroinformatics Models of Human Memory: Mapping the Cognitive Functions of Memory onto Neurophysiological Structures of the Brain , 2013, Int. J. Cogn. Informatics Nat. Intell..

[10]  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..

[11]  Eshaa M. Alkhalifa Cognitively Informed Systems: Utilizing Practical Approaches to Enrich Information Presentation and Transfer , 2006 .

[12]  Yingxu Wang,et al.  On Denotational Mathematics Foundations for the Next Generation of Computers: Cognitive Computers for Knowledge Processing , 2012 .

[13]  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..

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

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

[16]  Yingxu Wang,et al.  On Formal and Cognitive Semantics for Semantic Computing , 2010, Int. J. Semantic Comput..

[17]  Yingxu Wang,et al.  A Formal Knowledge Representation System (FKRS) for the Intelligent Knowledge Base of a Cognitive Learning Engine , 2011, Int. J. Softw. Sci. Comput. Intell..

[18]  Christine W. Chan Development of an Ontology for an Industrial Domain , 2007, Int. J. Cogn. Informatics Nat. Intell..

[19]  Shusaku Tsumoto,et al.  Perspectives on eBrain and Cognitive Computing , 2012, Int. J. Cogn. Informatics Nat. Intell..

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

[21]  Yingxu Wang Inference Algebra (IA): A Denotational Mathematics for Cognitive Computing and Machine Reasoning (I) , 2011, Int. J. Cogn. Informatics Nat. Intell..

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

[23]  Yingxu Wang,et al.  Towards a Formal Framework of Cognitive Linguistics , 2012 .

[24]  Robert A. Wilson The Cognitive Sciences: A comment on 6 reviews of The MIT Encyclopedia of the Cognitive Sciences , 2001, Artif. Intell..

[25]  Yingxu Wang,et al.  On Semantic Algebra: A Denotational Mathematics for Natural Language Comprehension and Cognitive Computing , 2013 .

[26]  Yingxu Wang Cognitive Informatics for Revealing Human Cognition: Knowledge Manipulations in Natural Intelligence , 2012 .

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

[28]  Yingxu Wang,et al.  Editorial Recent Advances in Cognitive Informatics , 2006, IEEE Trans. Syst. Man Cybern. Syst..

[29]  D. Davis Visions of mind : architectures for cognition and affect , 2005 .

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

[31]  Witold Kinsner,et al.  Time and Frequency Analysis of Particle Swarm Trajectories for Cognitive Machines , 2011, Int. J. Cogn. Informatics Nat. Intell..

[32]  Yingxu Wang,et al.  Towards the Synergy of Cognitive Informatics, Neural Informatics, Brain Informatics, and Cognitive Computing , 2011, Int. J. Cogn. Informatics Nat. Intell..

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

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

[35]  Yingxu Wang On Cognitive Informatics , 2003 .

[36]  Yingxu Wang,et al.  The Cognitive Mechanisms and Formal Models of Consciousness , 2012, Int. J. Cogn. Informatics Nat. Intell..

[37]  Ray E. Jennings Language, logic, and the brain , 2004, Proceedings of the Third IEEE International Conference on Cognitive Informatics, 2004..

[38]  Yingxu Wang,et al.  On Concept Algebra for Computing with Words (CWW) , 2010, Int. J. Semantic Comput..

[39]  Yiyu Yao,et al.  Perspectives on Cognitive Informatics and Cognitive Computing , 2010, Int. J. Cogn. Informatics Nat. Intell..

[40]  Yingxu Wang,et al.  On Long Lifespan Systems and Applications , 2012 .

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

[42]  Hongyou Wu,et al.  Dissipative non-self-adjoint Sturm–Liouville operators and completeness of their eigenfunctions ☆ , 2012 .

[43]  Yingxu Wang Cognitive computing and World Wide Wisdom (WWW+) , 2010, 9th IEEE International Conference on Cognitive Informatics (ICCI'10).

[44]  Jean Sallantin,et al.  Human Discovery and Machine Learning , 2008, Int. J. Cogn. Informatics Nat. Intell..

[45]  Yingxu Wang,et al.  Paradigms of Denotational Mathematics for Cognitive Informatics and Cognitive Computing , 2009, Fundam. Informaticae.

[46]  Yingxu Wang Novel Approaches in Cognitive Informatics and Natural Intelligence , 2008 .

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

[48]  Yingxu Wang On Cognitive Models of Causal Inferences and Causation Networks , 2011, Int. J. Softw. Sci. Comput. Intell..

[49]  Herre van Oostendorp,et al.  Guidance in the Interface: Effects of Externalizing Information During Problem Solving , 2006 .

[50]  David S. Walker,et al.  Organizational and Technological Implications of Cognitive Machines: Designing Future Information Management Systems , 2008 .

[51]  Witold Pedrycz,et al.  Cognitive Informatics and Cognitive Computing in Year 10 and Beyond , 2011, Int. J. Cogn. Informatics Nat. Intell..

[52]  Leen-Kiat Soh,et al.  Understanding human learning using a multi-agent simulation of the unified learning model , 2013, 2013 IEEE 12th International Conference on Cognitive Informatics and Cognitive Computing.

[53]  Brian Logan,et al.  Managing Goals and Resources in Dynamic Environments , 2005 .

[54]  David S. Walker,et al.  Implications of Cognitive Machines for Organizations , 2009 .

[55]  Yingxu Wang,et al.  In Search of Denotational Mathematics: Novel Mathematical Means for Contemporary Intelligence, Brain, and Knowledge Sciences , 2012 .