Cognitive informatics (CI) is the transdisciplinary enquiry of cognitive and information sciences that investigates into the internal information processing mechanisms and processes of the brain and natural intelligen...
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Cognitive informatics (CI) is the transdisciplinary enquiry of cognitive and information sciences that investigates into the internal information processing mechanisms and processes of the brain and natural intelligence, and their engineering applications via an interdisciplinary approach. CI develops a coherent set of fundamental theories and denotational 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, software engineering, knowledge engineering, and computational intelligence. This paper reviews the central doctrine of CI and its applications. The theoretical framework of CI is described on the architecture of CI and its denotational mathematic means. A set of theories and formal models of CI is presented in order to explore the natural and computational intelligence. A wide range of applications of CI are described in the areas of cognitive computers, cognitive properties of knowledge, simulations of human cognitive behaviors, cognitive complexity of software, autonomous agent systems, and computational intelligence.
Cognitive informatics is a cutting-edge and multidisciplinary research area that tackles the fundamental problems shared by modern informatics, computing, software engineering, AI, cybernetics, cognitive science, neur...
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Cognitive informatics is a cutting-edge and multidisciplinary research area that tackles the fundamental problems shared by modern informatics, computing, software engineering, AI, cybernetics, cognitive science, neuropsychology, medical science, systems science, philosophy, linguistics, economics, management science, and life sciences. This editorial introduces the emerging field of cognitive informatics and its applications in cognitive computing, abstract intelligence, computational mathematics, and computational intelligence. The themes and structure of this special issue on cognitive informatics are described, and then, focuses of the selected papers in this special issue are highlighted.
This keynote lecture presents a set of the latest advances in Cognitive informatics (Cl) that leads to the design and implementation of future generation computers known as the cognitive computers that are capable of ...
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ISBN:
(纸本)9781424404759
This keynote lecture presents a set of the latest advances in Cognitive informatics (Cl) that leads to the design and implementation of future generation computers known as the cognitive computers that are capable of thinking and feeling. The theory and philosophy behind the next generation computers and computing technologies are Cl. The theoretical framework of Cl may be classified as an entire set of cognitive functions and processes of the brain and an enriched set of descriptive mathematics. the cognitive computers are created for cognitive and perceptible concept/knowledge processing based on contemporary mathematics such as Concept Algebra, Real-Time Process Algebra, and System Algebra. Because the cognitive computers implement the fundamental cognitive processes of the natural intelligence such as the learning, thinking, formal inference, and perception processes, they are novel information processing systems that think and feel. The cognitive computers are centered by the parallel inference engine and perception engine that implement autonomic learning/reasoning and perception mechanisms based on descriptive mathematics.
Memorization is a key cognitive process of the brain because almost all human intelligence is functioning based on it. This paper presents the theory of memory and the cognitive process of memorization. neural informa...
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ISBN:
(纸本)9781424413270
Memorization is a key cognitive process of the brain because almost all human intelligence is functioning based on it. This paper presents the theory of memory and the cognitive process of memorization. neural informatics foundations and functional models of memory and memorization are explored toward the development of the mathematical models of memory. The mechanisms of memorization as a cognitive process is investigated that explains how and when memory is created in long-term memory. On the basis of the formalized memory and memorization models, the cognitive process of memorization is rigorously described using Real-Time Process Algebra (RTPA). This work forms one of the core enquiries for formally explaining the mechanisms of the brain and the natural intelligence according to the Layered Reference Model of the Brain (LRMB) developed in cognitive informatics.
In this paper we propose a novel transductive learning machine for spatiotemporal classification casted as an interactive segmentation problem. We present Markov conditional mixtures of naive Bayes models with spatiot...
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ISBN:
(纸本)9781424420728
In this paper we propose a novel transductive learning machine for spatiotemporal classification casted as an interactive segmentation problem. We present Markov conditional mixtures of naive Bayes models with spatiotemporal regularization constraints in a transductive learning and inference framework. The proposed model extends on previous work [3] to account for non independent and identically distributed (i.i.d.) sequential data by imposing the learning and inference problem w.r.t. time. The multimodal mixture assumption on the class-conditional likelihood for each covariate feature domain in conjunction with spatiotemporal regularization constraints allow us to explain more complex distributions required for classification in multimodal longitudinal brain imagery. We evaluate the proposed algorithm on multimodal temporal MRI brain images using ROC statistics and report preliminary results.
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