IRMA-International.org: Creator of Knowledge
Information Resources Management Association
Advancing the Concepts & Practices of Information Resources Management in Modern Organizations

The Theoretical Framework of Cognitive Informatics

The Theoretical Framework of Cognitive Informatics
View Sample PDF
Author(s): Yingxu Wang (University of Calgary, Canada)
Copyright: 2007
Volume: 1
Issue: 1
Pages: 27
Source title: International Journal of Cognitive Informatics and Natural Intelligence (IJCINI)
Editor(s)-in-Chief: Kangshun Li (South China Agricultural University, China)
DOI: 10.4018/jcini.2007010101

Purchase

View The Theoretical Framework of Cognitive Informatics on the publisher's website for pricing and purchasing information.

Abstract

Cognitive Informatics (CI) is a transdisciplinary enquiry of the internal information processing mechanisms and processes of the brain and natural intelligence shared by almost all science and engineering disciplines. This article presents an intensive review of the new field of CI. The structure of the theoretical framework of CI is described encompassing the Layered Reference Model of the Brain (LRMB), the OAR model of information representation, Natural Intelligence (NI) vs. Artificial Intelligence (AI), Autonomic Computing (AC) vs. imperative computing, CI laws of software, the mechanism of human perception processes, the cognitive processes of formal inferences, and the formal knowledge system. Three types of new structures of mathematics, Concept Algebra (CA), Real-Time Process Algebra (RTPA), and System Algebra (SA), are created to enable rigorous treatment of cognitive processes of the brain as well as knowledge representation and manipulation in a formal and coherent framework. A wide range of applications of CI in cognitive psychology, computing, knowledge engineering, and software engineering has been identified and discussed.

Related Content

Deep Convolutional Neural Networks for Customer Churn Prediction Analysis
Alae Chouiekh, El Hassane Ibn El Haj. © 2020. 16 pages.
View Details View Details PDF Full Text View Sample PDF
Detecting DDoS Attacks Using Polyscale Analysis and Deep Learning
Maryam Ghanbari, Witold Kinsner. © 2020. 18 pages.
View Details View Details PDF Full Text View Sample PDF
Distributional Semantic Model Based on Convolutional Neural Network for Arabic Textual Similarity
Adnen Mahmoud, Mounir Zrigui. © 2020. 16 pages.
View Details View Details PDF Full Text View Sample PDF
Generalized Ordered Weighted Simplified Neutrosophic Cosine Similarity Measure for Multiple Attribute Group Decision Making
Jun Ye. © 2020. 12 pages.
View Details View Details PDF Full Text View Sample PDF
Moving Target Detection and Tracking Based on Improved FCM Algorithm
Wang Ke Feng, Sheng Xiao Chun. © 2020. 12 pages.
View Details View Details PDF Full Text View Sample PDF
Combining Motor Primitives for Perception Driven Target Reaching With Spiking Neurons
J. Camilo Vasquez Tieck, Lea Steffen, Jacques Kaiser, Daniel Reichard, Arne Roennau, Ruediger Dillmann. © 2019. 12 pages.
View Details View Details PDF Full Text View Sample PDF
Evaluation of Driver's Cognitive Distracted State Considering the Ambient State of a Car
Hiroaki Koma, Taku Harada, Akira Yoshizawa, Hirotoshi Iwasaki. © 2019. 12 pages.
View Details View Details PDF Full Text View Sample PDF
Body Bottom