The system point of view, the human-computer interaction (HCI) structure is composed of "brain cognitive body -coupling situation -information manifold" cognitive digital system.HCI process coupled interaction between brain cognition and brain outside the information system, the formation of cognitive coupled states.The Outside brain cognition point of view, the situations of HCI is the point of the link between the brain cognition and brain outside information manifold, the cognitive been induced brain outside the cognitive digital manifold.The Outside brain cognitive information measuring point of view, BSM is a brain cognitive observation, mapping, research platform.The cognitive topology layer is system kernel.We tried to use the coupling cognitive research framework in a word memory.Assuming the brain state of English word to the existence of complex networks, explore the network activity model of word.The coupling method is based on BSM online research of models, acquisition of cognitive symbol sequence data of learning word; The formation of the word topology base on word classification specification, definition of the word linear metric space, form the basis and platform on Complex word network of static structure and dynamic growth.Preliminary results of this study confirmed that Cognitive coupling is feasible way to Brain imaging of cognitive information.
Learning is a process that changes the cognitive structure, which is the important representation of advanced cognition.Due to the difficulties in observing cognition, the empirical and visual researches of cognitive structure are significant.To realize the empirical research, the first issue is how to observe the cognitive structures.Based on the humanmachine interaction, we have established a new "Brain cognitive body -cognitive coupling Situations -information Manifolds" (BSM) cognition observation platform.This platform allows the users to observe the cognitive processes and structures, collect and re-structure the cognitive activity information.Additionally, the cognitive structure imaging, the empirical and visual analysis and the dimension reduction for high-dimensional cognitive manifolds can be realized on this BSM platform.Here, we have selected the tree-based network to represent the low-dimensional cognitive manifolds to develop a visual and vectorial model of layered cognitive structure.The digital model of cognitive structure is able to provide the basis for studying the empirical research, mathematics and dynamics of the cognitive structure, and the new ways for the advanced cognitive research.
Brain research focuses on matter, energy and information.Brain imaging of cognitive function concentrates on detecting brain activity in the energy layer and is the mainstream research paradigm in current brain science, hotspot patents.However, the core function of the brain is to process and dissipate information.It is extremely difficult to deduce brain activity and information processing mechanism based on activities in the energy layer; Studying the information processing mechanism of the brain directly from the information and content layers is a direction worth exploring.In terms of psychology, the basic object of brain research in the content layer is the cognitive structure.The cognitive structure is the basis for cognition, learning and thinking, so it is undoubtedly objective.Directly collecting cognitive information and reconstructing the methods for observing cognitive structures are scientific problems that deserve to be studied.How to observe the cognitive structure inside the brain?The new cognitive view holds that cognition occurs in the coupling interaction between the brain and the environment and the innovative method for observing the cognitive structure of man-machine coupling views the environment for man-machine interaction as the digital platform for cognition observation consisting of the brain cognitive body, the coupling situation and the information manifold (BSM).BSM is a combination of information and cognition.It should be analyzed from the perspectives of mathematic foundation, observation methods, imaging technology and cognitive dynamics.Cognitive structure imaging will be the new direction of the brain technology patents.
As a problem, space is the implicit world of cognition, it is difficult to observe and collect its data.From the new perspective of cognitive philosophy, human-machine cognitive coupling is the coupled state of the intelligent agent and the information system.The extension of a problem space inside the brain makes observation possible.The data for a problem space constitutes a set and forms a tree topology according to the level of cognitive abstraction.On the basis of mathematical paradigms, the metric specifications of problems are built on problem topology.Vector analysis is carried out on the problem space.The size, direction, hierarchy, and vector addition and subtraction of objects of a problem space are defined.On the basis of topological dynamic theory, the topological dynamic orbit of a problem space is defined.The topological reconstruction and vector analysis of problem spaces provides new methods for the refined detection of the structure of problem spaces.
This article puts forward the concept of Chinese and English dictionary with reverse term frequency.Belt reverse term frequency Chinese and English dictionary functional module includes Chinese translation for English module,English translation for Chinese module,Key Words inquiry module and reverse term frequency statistics module.This dictionary realizes the documents reverse term frequency computation,thus provides important data for the literature commendation system while realizing the inter-translation of Chinese and English words and expressions.
Evolutionary algorithm is a new search optimization technology.This paper discusses the evolution of cognitive learning theory in the application of English,and English courses as an example design of a combina- tion of multimedia technology learning platform.
The system point of view, the human-computer interaction (HCI) structure is composed of "brain cognitive body -coupling situation -information manifold" cognitive digital system.HCI process coupled interaction between brain cognition and brain outside the information system, the formation of cognitive coupled states.The Outside brain cognition point of view, the situations of HCI is the point of the link between the brain cognition and brain outside information manifold, the cognitive been induced brain outside the cognitive digital manifold.The Outside brain cognitive information measuring point of view, BSM is a brain cognitive observation, mapping, research platform.The cognitive topology layer is system kernel.We tried to use the coupling cognitive research framework in a word memory.Assuming the brain state of English word to the existence of complex networks, explore the network activity model of word.The coupling method is based on BSM online research of models, acquisition of cognitive symbol sequence data of learning word; The formation of the word topology base on word classification specification, definition of the word linear metric space, form the basis and platform on Complex word network of static structure and dynamic growth.Preliminary results of this study confirmed that Cognitive coupling is feasible way to Brain imaging of cognitive information.
Representation-Computation is one of the topics consistently focused by researchers in the field of cognitive science.The representation of cognitive structures in the advanced cognition is an important part of research.How to observe and empirically validate the cognitive structures is meaningful.Based on man-machine interaction environments, a novel "Brain cognitive body -coupling Situations -information Manifolds (BSM)" cognition observation platform has been created, which allows users to observe and analyze cognitive processes and structures, selecting tree-based networks and other networks to represent low-dimensional cognitive topological manifolds, and to re-structure the cognitive structures and processes.Based on cognitive manifolds and cognitive dynamics, a cognitive process can be abstracted as a dynamical orbit in a low-dimensional cognitive manifold.The behaviors of the cognitive orbit are observed, related data are collected and the process is restructured in a low-dimensional cognitive manifold.The cognition is also analyzed by introducing mathematical methods, such as calculus and topology.
From certain point of view, the research of brain intelligence can be divided into two researching ideas :function simulation and cognitive coupling. Former is that computer is used to simulated with the brain intelligence and the two irrelative individual can be separated between the brain and computer; The latter is that the brain and computer can be united one integrated entity. Through the constructing with cognitive coupling states between the information brain,as iBrain,and machine, the Agent of the cognitive space is mapped the brain activity, the cognitive coupling states is modulated and the Agent behavior in the states is recorded, and the brain active principle is reflected by Agent activity to receive cognitive data on the coupling states. Selecting tree topological space model, cognitive information space can be divided into the three levels, such as object information, cognitive operation and arithmetic and physical quantification, like Digital Nervous Architecture called DNA feeling Agent behavior ,the all known as DNAgent; Materialized DNAgent is a software system, named Cognitive Coupling Modulator, Similar to the cyclotron. It is modulate the Agent cognitive track to verify cognitive theory or assumptions; and Agent cognitive symbol sequence data are adopted, symbol dynamics is applied to deal with the cognitive symbols, the research on the arithmetic and physical level based on the cognitive process is realized. Formation of brain information layer of the following framework:Coupled brain information process with computer and cognitive symbol sequence to achieve cognitive materialized and quantitative research; Base on new tools the Cognitive Coupling Modulator, formation the mathematical and experience level of mutual authentication.
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