5 : The OAR Model of Neural Informatics for Internal Knowledge Representation in the Brain

Cognitive informatics (CI) studies the natural intelligence and internal information processing mechanisms of the brain, as well as the processes involved in perception and cognition. CI provides a coherent set of fundamental theories, and contemporary mathematics, which form the foundation for most information and knowledge-based science and engineering disciplines such as computer science, cognitive science, neuropsychology, systems science, cybernetics, computer/software engineering, and knowledge engineering. This editorial addresses the objectives of the International Journal of Cognitive Informatics and Natural Intelligence (IJCINI), and explores the domain of CI and its interdisciplinary nature. It clarifies the historical evolvement of CI and its theoretical foundations. The coverage of this inaugural issue and recent advances in CI are reviewed. This editorial demonstrates that the investigation into CI will result in fundamental findings towards the development of next generation information and computing technologies. PAPER 1: Toward Theoretical Foundations of Autonomic Computing Yingxu Wang, University of Calgary, Canada Abstract: Autonomic computing (AC) is an intelligent computing approach that autonomously carries out robotic and interactive applications based on goaland inference-driven mechanisms. This article attempts to explore the theoretical foundations and technical paradigms of AC. It reviews the historical development that leads to the transition from imperative computing to AC. It surveys transdisciplinary theoretical foundations for AC such as those of behaviorism, cognitive informatics, denotational mathematics, and intelligent science. On the basis of this work, a coherent framework toward AC may be established for both interdisciplinary theories and application paradigms, which will result in the development of new generation computing architectures and novel information processing systems. Autonomic computing (AC) is an intelligent computing approach that autonomously carries out robotic and interactive applications based on goaland inference-driven mechanisms. This article attempts to explore the theoretical foundations and technical paradigms of AC. It reviews the historical development that leads to the transition from imperative computing to AC. It surveys transdisciplinary theoretical foundations for AC such as those of behaviorism, cognitive informatics, denotational mathematics, and intelligent science. On the basis of this work, a coherent framework toward AC may be established for both interdisciplinary theories and application paradigms, which will result in the development of new generation computing architectures and novel information processing systems. PAPER 2: AURELLIO: A Cognitive Computational Knowledge Representation Theory Mehdi Najjar, University of Sherbrooke, Canada André Mayers, University of Sherbrooke, Canada Abstract: Encouraging results of the last few years in the field of knowledge representation within virtual learning environments confirm that artificial intelligence research in this topic finds it very beneficial to integrate the knowledge that psychological research has accumulated on understanding the cognitive mechanism of human learning and all the positive results obtained in computational modeling theories. This article introduces a novel cognitive and computational knowledge representation approach inspired by cognitive theories that explain the human Encouraging results of the last few years in the field of knowledge representation within virtual learning environments confirm that artificial intelligence research in this topic finds it very beneficial to integrate the knowledge that psychological research has accumulated on understanding the cognitive mechanism of human learning and all the positive results obtained in computational modeling theories. This article introduces a novel cognitive and computational knowledge representation approach inspired by cognitive theories that explain the human