Cognitive Memory: Human Like Memory

Taking inspiration from life experience, the authors have devised a new form of computer memory. Certain conjectures about human memory are keys to the central idea. This paper presents a design of a practical and useful "cognitive" memory system in which the new memory does not function like a computer memory where specific data is stored in specific numbered registers; retrieval is done by reading the contents of the specified memory register, or done by matching key words as with a document search. Incoming sensory data would be stored at the next available empty memory location and could be stored redundantly at several empty locations. The stored sensory data would neither have key words nor would it be located in known or specified memory locations. Retrieval would be initiated by a prompt signal from a current set of sensory inputs or patterns. The search would be done by a retrieval system that makes use of auto-associative artificial neural networks. In this paper, the authors present a practical application of this cognitive memory system to human facial recognition.

[1]  Supriyo Roy,et al.  Computational Intelligence Approach on a Deterministic Production-Inventory Control Model with Shortages , 2008 .

[2]  Fuchun Sun,et al.  Four-Channel Control Architectures for Bilateral and Multilateral Teleoperation , 2011, Int. J. Softw. Sci. Comput. Intell..

[3]  Yingxu Wang,et al.  Intelligent Fault Recognition and Diagnosis for Rotating Machines using Neural Networks , 2011, Int. J. Softw. Sci. Comput. Intell..

[4]  Kenji Sugawara,et al.  Sitting Posture Recognition and Location Estimation for Human-Aware Environment , 2011, Int. J. Softw. Sci. Comput. Intell..

[5]  Yingxu Wang.  Advances in Abstract Intelligence and Soft Computing , 2012 .

[6]  Bo Zhang,et al.  Sparse Based Image Classification With Bag-of-Visual-Words Representations , 2011, Int. J. Softw. Sci. Comput. Intell..

[7]  Mark H. Johnson,et al.  CONSPEC and CONLERN: a two-process theory of infant face recognition. , 1991, Psychological review.

[8]  Hironori Hiraishi,et al.  Qualitative Reasoning Approach to a Driver's Cognitive Mental Load , 2011, Int. J. Softw. Sci. Comput. Intell..

[9]  Gerardo Reyes Salgado,et al.  An Enhanced Petri Net Model to Verify and Validate a Neural-Symbolic Hybrid System , 2009, Int. J. Softw. Sci. Comput. Intell..

[10]  Bernard Widrow,et al.  Neural nets for adaptive filtering and adaptive pattern recognition , 1988, Computer.

[11]  Mahendran Maliapen.  Modeling with System Archetypes: A Case Study , 2008 .

[12]  Ben Goertzel,et al.  Classifier ensemble based analysis of a genome-wide SNP dataset concerning Late-Onset Alzheimer Disease , 2009, 2009 8th IEEE International Conference on Cognitive Informatics.

[13]  Dipak Laha,et al.  Handbook of Computational Intelligence in Manufacturing and Production Management , 2007 .

[14]  B. Julesz.  Foundations of Cyclopean Perception , 1971 .

[15]  Arthur L. Samuel,et al.  Some studies in machine learning using the game of checkers , 2000, IBM J. Res. Dev..