作者: GUEER 時間: 2025-3-21 20:23 作者: 正式演說 時間: 2025-3-22 01:38
Conversational Informatics Where Web Intelligence Meets Brain Informaticsms of the verbal / nonverbal interactions during conversations. I overview major ideas and outcomes of Conversational Informatics and discuss the role of Conversational Informatics as a glue connecting Web Intelligence and Brain Informatics.作者: 暫時休息 時間: 2025-3-22 05:06 作者: 沒花的是打擾 時間: 2025-3-22 09:39 作者: 鞠躬 時間: 2025-3-22 14:18
Intelligence for Upgrading Information upgrading information and notes that there have been four important phases in the progress of intelligence. These are: (1) language acquisition, (2) knowledge discovery, (3) conceptualization and (4) granulation. These phases are discussed in this paper.作者: 針葉 時間: 2025-3-22 20:43
Cognitive Architectures and the Challenge of Cognitive Social Simulationincorporating cognitive architectures, as they provide a realistic basis for modeling individual agents (as argued in Sun 2001). In this article, an example of a cognitive architecture will be given, and its application to social simulation will be outlined.作者: 向宇宙 時間: 2025-3-23 00:06
Cognitive Architectures and the Challenge of Cognitive Social Simulationincorporating cognitive architectures, as they provide a realistic basis for modeling individual agents (as argued in Sun 2001). In this article, an example of a cognitive architecture will be given, and its application to social simulation will be outlined.作者: 冷峻 時間: 2025-3-23 03:59 作者: 音的強弱 時間: 2025-3-23 08:00
Network Thinking and Network Intelligencethermore, some specific implementations and examples of network intelligence will be given in this paper. Such as mining typical topologies, discovering sensitive links and important communities from real complex networks, networked control, and making a virtual reality of emergence phenomenon in complex systems.作者: 偏見 時間: 2025-3-23 11:56 作者: insomnia 時間: 2025-3-23 17:35
Granular Computing: Modeling Human Thoughts in the Web by Polyhedronept). A point in such a polyhedron represents a human thought. Each simplex represents a concept. A maximal simplex is a primitive concept. A connected component represents a complete concept. The totality of these concepts is called the basic knowledge.作者: neutralize 時間: 2025-3-23 21:59
Biophysical Models of Neural Computation: Max and Tuning Circuitsect recognition can be satisfied with standard spiking and synaptic mechanisms. We provide simulations illustrating the performance of the circuits, and discuss the relevance of our work to neurophysiology as well as what bearing it may have on the search for maximum and tuning circuits in cortex.作者: 細微的差異 時間: 2025-3-23 22:52
Biophysical Models of Neural Computation: Max and Tuning Circuitsect recognition can be satisfied with standard spiking and synaptic mechanisms. We provide simulations illustrating the performance of the circuits, and discuss the relevance of our work to neurophysiology as well as what bearing it may have on the search for maximum and tuning circuits in cortex.作者: 清晰 時間: 2025-3-24 05:59 作者: 觀察 時間: 2025-3-24 06:59
An Ontology-Based Mining System for Competitive Intelligence in Neuroscience searching neuroscientific discoveries semantically and tracking new trends statistically. The experiments performed on 15,433,668 MEDLINE articles yield evidence for the feasibility and validity of our system.作者: GRAIN 時間: 2025-3-24 13:18
Web Intelligence Meets Brain Informaticst systematically studies the mechanisms of human information processing from both the macro and micro viewpoints by combining experimental cognitive neuroscience with advanced information technology. BI studies human brain from the viewpoint of informatics (i.e., human brain is an information proces作者: ALIAS 時間: 2025-3-24 16:58
Web Intelligence Meets Brain Informaticst systematically studies the mechanisms of human information processing from both the macro and micro viewpoints by combining experimental cognitive neuroscience with advanced information technology. BI studies human brain from the viewpoint of informatics (i.e., human brain is an information proces作者: 支柱 時間: 2025-3-24 20:12
Neuroscience: New Insights for AI? itself, arguably one of the greatest problems in science today. In particular, our visual abilities are computationally amazing and we are still far from imitating them with computers. Thus, visual cortex may well be a good proxy for the rest of the cortex and indeed for intelligence itself. But de作者: CROW 時間: 2025-3-25 03:03 作者: CODA 時間: 2025-3-25 07:00
Network Thinking and Network Intelligencecome very active recently. What topological measures can be used to characterize properties of networks? What properties do different structures of real-world networks share, and why? How did theses properties come about? How do these properties affect the dynamics of such networks? How to use netwo作者: inventory 時間: 2025-3-25 09:21 作者: 使更活躍 時間: 2025-3-25 14:51
Web Intelligence Meets Brain Informatics at the Language Barrier: A Procrustean Bed?earned much about language, about databases, and about how people interact with computers; researchers have made great strides in the construction of human computer interfaces which (relatively) seamlessly integrate modalities, for example, speech and written language, natural language and menu syst作者: 壕溝 時間: 2025-3-25 17:50 作者: Neonatal 時間: 2025-3-25 22:01
Conversational Informatics Where Web Intelligence Meets Brain Informaticsthat can interact with people in a conversational fashion. It is aimed at unveiling meaning creation and interpretation through sophisticated mechanisms of the verbal / nonverbal interactions during conversations. I overview major ideas and outcomes of Conversational Informatics and discuss the role作者: 的是兄弟 時間: 2025-3-26 02:58
Conversational Informatics Where Web Intelligence Meets Brain Informaticsthat can interact with people in a conversational fashion. It is aimed at unveiling meaning creation and interpretation through sophisticated mechanisms of the verbal / nonverbal interactions during conversations. I overview major ideas and outcomes of Conversational Informatics and discuss the role作者: 不遵守 時間: 2025-3-26 07:52 作者: FOLD 時間: 2025-3-26 11:42 作者: maverick 時間: 2025-3-26 13:13
Granular Computing: Modeling Human Thoughts in the Web by Polyhedronpresented by a polyhedron; more general cases are discussed. A polyhedron is a subset of Euclidean space that supports a combinatorial structure, called simplicial complex. From the granular computing point of view, a simplicial complex is a special form of the granular model, in which the granular 作者: 不如樂死去 時間: 2025-3-26 18:24
Granular Computing: Modeling Human Thoughts in the Web by Polyhedronpresented by a polyhedron; more general cases are discussed. A polyhedron is a subset of Euclidean space that supports a combinatorial structure, called simplicial complex. From the granular computing point of view, a simplicial complex is a special form of the granular model, in which the granular 作者: 者變 時間: 2025-3-26 22:29 作者: 有害處 時間: 2025-3-27 01:33 作者: 節(jié)省 時間: 2025-3-27 05:21 作者: Cumulus 時間: 2025-3-27 09:59
Cognitive Architectures and the Challenge of Cognitive Social Simulationavior. It embodies generic descriptions of cognition in computer algorithms and programs. Social simulation with multi-agent systems can benefit from incorporating cognitive architectures, as they provide a realistic basis for modeling individual agents (as argued in Sun 2001). In this article, an e作者: 準則 時間: 2025-3-27 15:59 作者: Hdl348 時間: 2025-3-27 18:34
ACT-R Meets fMRIth their own buffers, each devoted to processing a different kind of information. A production rule in the core production system can be fired based on the chunks in these buffers and then it changes the chunks in the buffer of the related modules or the state of the related modules, which may leads作者: 推遲 時間: 2025-3-28 01:29
The Neural Mechanism of Human Numerical Inductive Reasoning Process: A Combined ERP and fMRI Studyechanism. In the present study, event-related potential (ERP) and event-related fMRI are used to explore the dynamic spatiotemporal characteristics of inductive reasoning process. We hypothesize that the process of numerical inductive reasoning is partially dissociable over time and space. A typical作者: 地名表 時間: 2025-3-28 05:24
The Neural Mechanism of Human Numerical Inductive Reasoning Process: A Combined ERP and fMRI Studyechanism. In the present study, event-related potential (ERP) and event-related fMRI are used to explore the dynamic spatiotemporal characteristics of inductive reasoning process. We hypothesize that the process of numerical inductive reasoning is partially dissociable over time and space. A typical作者: 漸變 時間: 2025-3-28 07:06 作者: sperse 時間: 2025-3-28 11:12 作者: 嘴唇可修剪 時間: 2025-3-28 16:47
A Role for Signal Propagation Through the Hippocampal CA2 Field in Memory Formation fact leads us to imagine that memory storage in the hippocampus can be switched according to the emotion-related brain state. In this paper, we first review the two classical concepts for the hippocampal network. One is the trisynaptic circuit connecting the entorhinal cortex, the dentate gyrus, th作者: HARD 時間: 2025-3-28 18:52
A Role for Signal Propagation Through the Hippocampal CA2 Field in Memory Formation fact leads us to imagine that memory storage in the hippocampus can be switched according to the emotion-related brain state. In this paper, we first review the two classical concepts for the hippocampal network. One is the trisynaptic circuit connecting the entorhinal cortex, the dentate gyrus, th作者: 6Applepolish 時間: 2025-3-28 23:21
Genetic Granular Cognitive Fuzzy Neural Networks and Human Brains for Pattern Recognitionnitive science have allowed an increasing understanding of normal and abnormal brain functions, especially in the research of human’s pattern recognition by means of computational intelligence. It is well understood that normal brains have high intelligence to recognize different geometrical pattern作者: 積習(xí)已深 時間: 2025-3-29 04:16 作者: atopic 時間: 2025-3-29 08:12 作者: RECUR 時間: 2025-3-29 11:45
Domain-Oriented Data-Driven Data Mining (3DM): Simulation of Human Knowledge Understandingher and store incredible volumes of data. It creates unprecedented opportunities for large-scale knowledge discovery from database. Data mining (DM) technology has emerged as a means of performing this discovery. It is a useful tool in many fields such as marketing, decision making, etc. There are c作者: anesthesia 時間: 2025-3-29 18:34
An Ontology-Based Mining System for Competitive Intelligence in Neuroscienceh, clinical therapy, and basic research such as brain informatics and cognitive science. To track activities of the rapidly developing field and observe new trends, neuroscientists must keep up-to-date with all the relevant information on the internet. In this paper, we present an ontology-based min作者: CHOIR 時間: 2025-3-29 19:50
An Ontology-Based Mining System for Competitive Intelligence in Neuroscienceh, clinical therapy, and basic research such as brain informatics and cognitive science. To track activities of the rapidly developing field and observe new trends, neuroscientists must keep up-to-date with all the relevant information on the internet. In this paper, we present an ontology-based min作者: Temporal-Lobe 時間: 2025-3-30 03:22
Supervised Web Document Classification Using Discrete Transforms, Active Hypercontours and Expert KnPAH generalizes classic contour methods of image segmentation. It has two main advantages: it can use almost any knowledge during the search for an optimal . function and it can operate in a . space where only metric is defined. Here, both of them are utilized - the first one by using expert knowled作者: 綁架 時間: 2025-3-30 06:31
Supervised Web Document Classification Using Discrete Transforms, Active Hypercontours and Expert KnPAH generalizes classic contour methods of image segmentation. It has two main advantages: it can use almost any knowledge during the search for an optimal . function and it can operate in a . space where only metric is defined. Here, both of them are utilized - the first one by using expert knowled作者: 去掉 時間: 2025-3-30 11:29
Fuzzy Web Surfer Models: Theory and Experimentsains, we introduce FuzzRank, which is the counterpart of PageRank. Apart from discussing the theoretical aspects of fuzzy surfer models and FuzzRank, we have also compared its ranking, convergence and robustness properties with PageRank. Extensive experimental results and a detailed example depict t作者: 冬眠 時間: 2025-3-30 13:50
Fuzzy Web Surfer Models: Theory and Experimentsains, we introduce FuzzRank, which is the counterpart of PageRank. Apart from discussing the theoretical aspects of fuzzy surfer models and FuzzRank, we have also compared its ranking, convergence and robustness properties with PageRank. Extensive experimental results and a detailed example depict t作者: 縮減了 時間: 2025-3-30 17:30
Web Intelligence Meets Brain Informatics at the Language Barrier: A Procrustean Bed?s examining some basic tenets regarding our faith in machines. I direct your attention to several problems inherent in representation(s) required to place information into machines for easy (individualized) access, followed up by some larger questions about the inherent capabilities of machines (versus humans).作者: 間諜活動 時間: 2025-3-30 21:21
Web Intelligence Meets Brain Informatics at the Language Barrier: A Procrustean Bed?s examining some basic tenets regarding our faith in machines. I direct your attention to several problems inherent in representation(s) required to place information into machines for easy (individualized) access, followed up by some larger questions about the inherent capabilities of machines (versus humans).作者: FUSE 時間: 2025-3-31 03:33
A Role for Signal Propagation Through the Hippocampal CA2 Field in Memory Formationork, which contains the CA3-CA2-CA1 pathway in which the CA2 field functions as a gate controlled by the activity of the supramammillary nucleus to control signal propagation between hippocampal lamellar organizations.作者: 壓艙物 時間: 2025-3-31 05:30
A Role for Signal Propagation Through the Hippocampal CA2 Field in Memory Formationork, which contains the CA3-CA2-CA1 pathway in which the CA2 field functions as a gate controlled by the activity of the supramammillary nucleus to control signal propagation between hippocampal lamellar organizations.作者: 沙漠 時間: 2025-3-31 12:11
Web Intelligence Meets Brain Informatics for brain sciences. The synergy between WI and BI advances our ways of analyzing and understanding of data, knowledge, intelligence, and wisdom, as well as their interrelationships, organizations, and creation processes. Web intelligence is becoming a central field that revolutionizes information t作者: Dedication 時間: 2025-3-31 16:06
Web Intelligence Meets Brain Informatics for brain sciences. The synergy between WI and BI advances our ways of analyzing and understanding of data, knowledge, intelligence, and wisdom, as well as their interrelationships, organizations, and creation processes. Web intelligence is becoming a central field that revolutionizes information t作者: Confidential 時間: 2025-3-31 19:39
Neuroscience: New Insights for AI?s. The proof of principle was provided by a preliminary model that, spanning several levels from biophysics to circuitry to the highest system level, describes information processing in the feedforward pathway of the ventral stream of primate visual cortex. The thesis of this paper is that – finally作者: Charlatan 時間: 2025-4-1 01:23 作者: aristocracy 時間: 2025-4-1 05:20
ACT-R Meets fMRI and to build a two-way bridge between the information processing model and fMRI. The patterns of the activations of brain areas corresponding to the buffers of the major modules in ACT-R were highly consistent across these experiments; and ACT-R has successfully predicted the Blood Oxygenation Leve作者: 大漩渦 時間: 2025-4-1 07:31 作者: laparoscopy 時間: 2025-4-1 10:16
The Neural Mechanism of Human Numerical Inductive Reasoning Process: A Combined ERP and fMRI Studyy activations, including prefrontal gyrus (BA 6), inferior parietal lobule (BA 7, 40), and occipital cortex (BA 18). After the respective discussions, the two kinds of data are combined qualitatively, then the dynamic spatiotemporal characteristic of inductive reasoning process are depicted using a 作者: 下垂 時間: 2025-4-1 16:00
The Neural Mechanism of Human Numerical Inductive Reasoning Process: A Combined ERP and fMRI Studyy activations, including prefrontal gyrus (BA 6), inferior parietal lobule (BA 7, 40), and occipital cortex (BA 18). After the respective discussions, the two kinds of data are combined qualitatively, then the dynamic spatiotemporal characteristic of inductive reasoning process are depicted using a 作者: Connotation 時間: 2025-4-1 20:01 作者: 新手 時間: 2025-4-1 23:56
Central Nervous Processing for Acupuncture at Liv3 with fMRI: A Preliminary Experiencerior parietal lobule (IPL), occipital lobe, parahippocampal gyrus, insula, thalamus, lentiform nucleus; contralateral temporal pole and anterior cingulated gyrus (ACG), posterior cingulated gyrus (PCG). The PE of RA activated bilateral cerebella, PF, SPL, and IPL, occipital lobe, lentiform nucleus; 作者: COKE 時間: 2025-4-2 06:37
Genetic Granular Cognitive Fuzzy Neural Networks and Human Brains for Pattern Recognitioniques of genetic algorithms, granular computing, and fuzzy neural networks with cognitive science for pattern recognition. Our ability to simulate biological neural networks makes it possible a more comprehensive quantitative analysis on the pattern recognition of human brains, and our preliminary e作者: Abbreviate 時間: 2025-4-2 10:49
Genetic Granular Cognitive Fuzzy Neural Networks and Human Brains for Pattern Recognitioniques of genetic algorithms, granular computing, and fuzzy neural networks with cognitive science for pattern recognition. Our ability to simulate biological neural networks makes it possible a more comprehensive quantitative analysis on the pattern recognition of human brains, and our preliminary e作者: Vulnerable 時間: 2025-4-2 13:59 作者: Unsaturated-Fat 時間: 2025-4-2 17:06
Domain-Oriented Data-Driven Data Mining (3DM): Simulation of Human Knowledge Understandingthis paper, we will address these questions and propose our answers based on a conceptual data mining model. Our answer would be “data mining is a process of knowledge transformation”. It is consistent with the process of human knowledge understanding. Based on analysis of the user-driven and “data-作者: 剛毅 時間: 2025-4-2 23:09
Peipeng Liang,Ning Zhong,Shengfu Lu,Jiming Liu,Yiyu Yao,Kuncheng Li,Yanhui Yangry, as well as by all those with an interest in how hydrates combine to be an energy resource, an industrial challange anda geological hazard..978-1-4471-2692-8978-0-85729-956-7Series ISSN 1865-3529 Series E-ISSN 1865-3537 作者: Preamble 時間: 2025-4-2 23:41 作者: Campaign 時間: 2025-4-3 05:47 作者: 松緊帶 時間: 2025-4-3 10:22 作者: Accommodation 時間: 2025-4-3 13:47