Results for 'Self‐organizing maps'

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  1.  12
    Self-Organizing Maps to Validate Anti-Pollution Policies.Ángel Arroyo, Carlos Cambra, Álvaro Herrero, Verónica Tricio & Emilio Corchado - 2020 - Logic Journal of the IGPL 28 (4):596-614.
    This study presents the application of self-organizing maps to air-quality data in order to analyze episodes of high pollution in Madrid. The goal of this work is to explore the dataset and then compare several scenarios with similar atmospheric conditions : some of them when no actions were taken and some when traffic restrictions were imposed. The levels of main pollutants, recorded at these stations for eleven days at four different times from 2015 to 2018, are analyzed in order (...)
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  2.  22
    Self-organizing Maps versus Growing Neural Gas in Detecting Anomalies in Data Centres.M. Zapater, D. Fraga, P. Malagon, Z. Bankovic & J. M. Moya - 2015 - Logic Journal of the IGPL 23 (3):495-505.
  3.  37
    SBSOM: Self-Organizing Map For Visualizing Structure In The Time Series Of Hot Topics.Ken-Ichi Fukui, Kazumi Saito, Masahiro Kimura & Masayuki Numao - forthcoming - Joint Workshop of Vietnamese Society of Ai, Sigkbs-Jsai, Ics-Ipsj, and Ieice-Sigai on Active Mining.
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  4.  36
    Combining self-organizing mapping and supervised affinity propagation clustering approach to investigate functional brain networks involved in motor imagery and execution with fMRI measurements.Jiang Zhang, Qi Liu, Huafu Chen, Zhen Yuan, Jin Huang, Lihua Deng, Fengmei Lu, Junpeng Zhang, Yuqing Wang, Mingwen Wang & Liangyin Chen - 2015 - Frontiers in Human Neuroscience 9.
  5. The quantization error in a Self-Organizing Map as a contrast and color specific indicator of single-pixel change in large random patterns.Birgitta Dresp-Langley - 2019 - Neural Networks 120:116-128..
    The quantization error in a fixed-size Self-Organizing Map (SOM) with unsupervised winner-take-all learning has previously been used successfully to detect, in minimal computation time, highly meaningful changes across images in medical time series and in time series of satellite images. Here, the functional properties of the quantization error in SOM are explored further to show that the metric is capable of reliably discriminating between the finest differences in local contrast intensities and contrast signs. While this capability of the QE is (...)
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  6.  23
    Action Recognition Online with Hierarchical Self-Organizing Maps.Zahra Gharaee, Peter Gärdenfors & Magnus Johnsson - unknown
    We present a hierarchical self-organizing map based system for online recognition of human actions. We have made a first evaluation of our system by training it on two different sets of recorded human actions, one set containing manner actions and one set containing result actions, and then tested it by letting a human performer carry out the actions online in real time in front of the system’s 3D-camera. The system successfully recognized more than 94% of the manner actions and most (...)
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  7.  26
    Bringing knowing-when and knowing-what together: Periodically tuned categorization and category-based timing modeled with the recurrent oscillatory self-organizing map (ROSOM). [REVIEW]Mauri Kaipainen & Pasi Karhu - 2000 - Minds and Machines 10 (2):203-229.
    The study addresses the cyclically temporal aspect of sequence recognition, storage and recall using the Recurrent Oscillatory Self-Organizing Map (ROSOM), first introduced by Kaipainen, Papadopoulos and Karhu (1997). The unique solution of the network is that oscillatory States are assigned to network units, corresponding to their `readiness-to-fire''. The ROSOM is a categorizer, a temporal sequence storage system and a periodicity detector designed for use in an ambiguous cyclically repetitive environment. As its external input, the model accepts a multidimensional stream of (...)
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  8.  34
    Country crime analysis using the self-organizing map, with special regard to demographic factors.Xingan Li & Martti Juhola - 2014 - AI and Society 29 (1):53-68.
  9.  22
    Exploring Project Complexity through Project Failure Factors: Analysis of Cluster Patterns Using Self-Organizing Maps.Vicente Rodríguez Montequín, Joaquín Villanueva Balsera, Sonia María Cousillas Fernández & Francisco Ortega Fernández - 2018 - Complexity 2018:1-17.
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  10.  21
    Detecting false testimonies in reputation systems using self-organizing maps.Z. Bankovic, J. C. Vallejo, D. Fraga & J. M. Moya - 2013 - Logic Journal of the IGPL 21 (4):549-559.
  11. Human Symmetry Uncertainty Detected by a Self-Organizing Neural Network Map.Birgitta Dresp-Langley - 2021 - Symmetry 13:299.
    Symmetry in biological and physical systems is a product of self-organization driven by evolutionary processes, or mechanical systems under constraints. Symmetry-based feature extraction or representation by neural networks may unravel the most informative contents in large image databases. Despite significant achievements of artificial intelligence in recognition and classification of regular patterns, the problem of uncertainty remains a major challenge in ambiguous data. In this study, we present an artificial neural network that detects symmetry uncertainty states in human observers. To this (...)
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  12.  28
    The self-organizing consciousness entails additional intervening subsystems.Takashi Yamauchi - 2002 - Behavioral and Brain Sciences 25 (3):360-360.
    The self-organizing consciousness (SOC) is not sufficient to account for young children's ability to acquire complex rules and word-object mappings. First, the attention-association cycles suggested by the SOC are unlikely to happen because recurrence of particular stimulus properties usually disengages the attention of an observer. Second, “primitive processors” preinstalled in the system make the SOC unnecessarily complex.
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  13.  11
    Stochastic Parameter Identification Method for Driving Trajectory Simulation Processes Based on Mobile Edge Computing and Self-Organizing Feature Mapping.Jingfeng Yang, Zhiyong Luo, Nanfeng Zhang, Jinchao Xiao, Honggang Wang, Shengpei Zhou, Xiaosong Liu & Ming Li - 2021 - Complexity 2021:1-8.
    With the rapid development of sensor technology for automated driving applications, the fusion, analysis, and application of multimodal data have become the main focus of different scenarios, especially in the development of mobile edge computing technology that provides more efficient algorithms for realizing the various application scenarios. In the present paper, the vehicle status and operation data were acquired by vehicle-borne and roadside units of electronic registration identification of motor vehicles. In addition, a motion model and an identification system for (...)
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  14. Comparative study of self-organizing semantic cognitive maps derived from natural language.Alexei V. Samsonovich & Colin P. Sherrill - 2007 - In McNamara D. S. & Trafton J. G. (eds.), Proceedings of the 29th Annual Cognitive Science Society. Cognitive Science Society. pp. 1848.
     
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  15. Self-Organizing Life: Michel Serres and the Problem of Meaning.Massimiliano Simons - 2023 - In Giuseppe Bianco, Charles T. Wolfe & Gertrudis Van de Vijver (eds.), Canguilhem and Continental Philosophy of Biology. Springer. pp. 209-232.
    Within continental philosophy of biology the work of Michel Serres has not received a lot of attention. Nonetheless, this chapter wants to argue that Serres was part of a group of thinkers – together with Jacques Monod and Henri Atlan – that started to think about biology in terms of second-order cybernetics and information theory. Therefore, this chapter aims to do four things. First of all, it maps the relation between Serres and Canguilhem, one that was mediated by authors (...)
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  16.  48
    Labels as Features (Not Names) for Infant Categorization: A Neurocomputational Approach.Valentina Gliozzi, Julien Mayor, Jon-Fan Hu & Kim Plunkett - 2009 - Cognitive Science 33 (4):709-738.
    A substantial body of experimental evidence has demonstrated that labels have an impact on infant categorization processes. Yet little is known regarding the nature of the mechanisms by which this effect is achieved. We distinguish between two competing accounts: supervised name‐based categorization and unsupervised feature‐based categorization. We describe a neurocomputational model of infant visual categorization, based on self‐organizing maps, that implements the unsupervised feature‐based approach. The model successfully reproduces experiments demonstrating the impact of labeling on infant visual categorization (...)
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  17.  19
    力学的情報処理を用いた自己組織的記号獲得と運動生成.中村 大介 岡田 昌史 - 2005 - Transactions of the Japanese Society for Artificial Intelligence 20:177-187.
    The symbol acquisition and manipulation abilities are one of the inherent characteristics of human beings comparing with other creatures. In this paper, based on recurrent self-organizing map and dynamics-based information processing system, we propose a dynamics based self-organizing map. This method enables designing a topological map using time sequence data, which causes recognition and generation of the robot motion. Using this method, we design the self-organizing symbol acquisition system and robot motion generation system for a humanoid robot. By implementing DBSOM (...)
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  18.  58
    Topological Self‐Organization and Prediction Learning Support Both Action and Lexical Chains in the Brain.Fabian Chersi, Marcello Ferro, Giovanni Pezzulo & Vito Pirrelli - 2014 - Topics in Cognitive Science 6 (3):476-491.
    A growing body of evidence in cognitive psychology and neuroscience suggests a deep interconnection between sensory-motor and language systems in the brain. Based on recent neurophysiological findings on the anatomo-functional organization of the fronto-parietal network, we present a computational model showing that language processing may have reused or co-developed organizing principles, functionality, and learning mechanisms typical of premotor circuit. The proposed model combines principles of Hebbian topological self-organization and prediction learning. Trained on sequences of either motor or linguistic units, the (...)
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  19.  12
    Physical Activity-Related Profiles of Female Sixth-Graders Regarding Motivational Psychosocial Variables: A Cluster Analysis Within the CReActivity Project.Joachim Bachner, David J. Sturm, Xavier García-Massó, Javier Molina-García & Yolanda Demetriou - 2020 - Frontiers in Psychology 11:580563.
    Introduction Adolescents’ physical activity (PA) behavior can be driven by several psychosocial determinants at the same time. Most analyses use a variable-based approach that examines relations between PA-related determinants and PA behavior on the between-person level. Using this approach, possible coexistences of different psychosocial determinants within one person cannot be examined. Therefore, by applying a person-oriented approach, this study examined a) which profiles regarding PA-related psychosocial variables typically occur in female sixth-graders, b) if these profiles deliver a self-consistent picture according (...)
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  20.  31
    Winner‐relaxing and winner‐enhancing Kohonen maps: Maximal mutual information from enhancing the winner.Jens Christian Claussen - 2003 - Complexity 8 (4):15-22.
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  21.  35
    A genealogical map of the concept of habit.Xabier E. Barandiaran & Ezequiel A. Di Paolo - 2014 - Frontiers in Human Neuroscience 8 (522):1--7.
    The notion of information processing has dominated the study of the mind for over six decades. However, before the advent of cognitivism, one of the most prominent theoretical ideas was that of Habit. This is a concept with a rich and complex history, which is again starting to awaken interest, following recent embodied, enactive critiques of computationalist frameworks. We offer here a very brief history of the concept of habit in the form of a genealogical network-map. This serves to provide (...)
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  22.  18
    The Common Sense of Quantum Theory: Exploring the Internal Relational Structure of Self-Organization in Nature.Michael Epperson - 2015 - In Vera Bühlmann, Ludger Hovestadt & Vahid Moosavi (eds.), Coding as Literacy. Birkhäuser.
    Recent developments in computer science, particularly ”data-driven procedures“ have opened a new level of design and engineering. This has also affected architecture. The publication collects contributions on Coding as Literacy by computer scientists, mathematicians, philosophers, cultural theorists, and architects. The main focus in the book is the observation of computer-based methods that go beyond strictly case-based or problem-solution-oriented paradigms. This invites readers to understand Computational Procedures as being embedded in an overarching ”media literacy“ that can be revealed through, and acquired (...)
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  23.  72
    Altricial self-organising information-processing systems ∗.Aaron Sloman - unknown
    It is often thought that there is one key design principle or at best a small set of design principles, underlying the success of biological organisms. Candidates include neural nets, ‘swarm intelligence’, evolutionary computation, dynamical systems, particular types of architecture or use of a powerful uniform learning mechanism, e.g. reinforcement learning. All of those support types of self-organising, self-modifying behaviours. But we are nowhere near understanding the full variety of powerful information-processing principles ‘discovered’ by evolution. By attending closely to the (...)
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  24.  56
    Grid maps for spaceflight, anyone? They are for free!Federico Stella, Bailu Si, Emilio Kropff & Alessandro Treves - 2013 - Behavioral and Brain Sciences 36 (5):566 - 567.
    We show that, given extensive exploration of a three-dimensional volume, grid units can form with the approximate periodicity of a face-centered cubic crystal, as the spontaneous product of a self-organizing process at the single unit level, driven solely by firing rate adaptation.
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  25.  21
    Towards Organizing the Element—on Józef Piłsudski’s Societal Creativity.Bohdan Urbankowski - 2011 - Dialogue and Universalism 21 (4):139-164.
    A comparison of the maps of Europe from 1935 and 1867 is the best testimony to the importance of his life’s societal creations: Piłsudski and the political side he had formed established a state that was missing on the maps of the 19th century. And yet, when describing Piłsudski’s activities, is it right to apply the category of creating, understood so broadly as to encompass military concepts alongside the economic reconstruction of the country? This question must be answered (...)
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  26.  59
    Bilingual Object Naming: A Connectionist Model.Shin-Yi Fang, Benjamin D. Zinszer, Barbara C. Malt & Ping Li - 2016 - Frontiers in Psychology 7:179499.
    Patterns of object naming often differ between languages, but bilingual speakers develop convergent naming patterns in their two languages that are distinct from those of monolingual speakers of each language. This convergence appears to reflect interactions between lexical representations for the two languages. In this study, we developed a self-organizing connectionist model to simulate semantic convergence in the bilingual lexicon and investigate the mechanisms underlying this semantic convergence. We examined the similarity of patterns in the simulated data to empirical data (...)
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  27.  44
    Gossip-Based Self-Organising Agent Societies and the Impact of False Gossip.Sharmila Savarimuthu, Maryam Purvis, Martin Purvis & Bastin Tony Roy Savarimuthu - 2013 - Minds and Machines 23 (4):419-441.
    The objective of this work is to demonstrate how cooperative sharers and uncooperative free riders can be placed in different groups of an electronic society in a decentralised manner. We have simulated an agent-based open and decentralised P2P system which self-organises itself into different groups to avoid cooperative sharers being exploited by uncooperative free riders. This approach encourages sharers to move to better groups and restricts free riders into those groups of sharers without needing centralised control. Our approach is suitable (...)
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  28. Radical Constructivism and Radical Constructedness: Luhmann's Sociology of Semantics, Organizations, and Self-Organization.L. Leydesdorff - 2012 - Constructivist Foundations 8 (1):85-92.
    Context: Using radical constructivism, society can be considered from the perspective of asking the question, “Who conceives of society?” In Luhmann ’s social systems theory, this question itself is considered as a construct of the communication among reflexive agents. Problem: Structuration of expectations by codes operating in interhuman communications positions both communicators and communications in a multi-dimensional space in which their relations can be provided with meaning at the supra-individual level. The codes can be functionally different and symbolically generalized. Method: (...)
     
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  29.  10
    On self-organising traffic lights technology.Andrei Reztsov - 2016 - Complexity 21 (5):328-330.
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  30. A self-organising cosmology revealed by an ancient Taoist text newly discovered.Y. Z. Chen - 2001 - Filozofia 56 (2):101-108.
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  31.  13
    A Self-Organising Strategy for Digital Neural Networks.M. A. Kerin & T. J. Stonham - 1992 - Journal of Intelligent Systems 2 (1-4):291-311.
  32.  9
    Data dimensionality reduction for an optimal switching mode classification applied to a step-down power converter.Luis-Alfonso Fernandez-Serantes, José-Luis Casteleiro-Roca, Hubert Berger, Dragan Simić & José-Luis Calvo-Rolle - forthcoming - Logic Journal of the IGPL.
    A dimensional reduction algorithm is applied to an intelligent classification model with the purpose of improving the efficiency and accuracy. The proposed classification model, used to distinguish the operating mode: Hard- and Soft-Switching, is presented and an analysis of the synchronized rectified step-down converter is done. With the aim of improving the accuracy and reducing the computational cost of the model, three different methods for dimensional reduction are applied to the input dataset of the model: self-organizing maps, principal component (...)
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  33.  24
    Self-organising Cognitive Appraisals.Marc D. Lewis - 1996 - Cognition and Emotion 10 (1):1-26.
  34.  14
    Modelling with Words: Learning, Fusion, and Reasoning Within a Formal Linguistic Representation Framework.Jonathan Lawry - 2003 - Springer Verlag.
    Modelling with Words is an emerging modelling methodology closely related to the paradigm of Computing with Words introduced by Lotfi Zadeh. This book is an authoritative collection of key contributions to the new concept of Modelling with Words. A wide range of issues in systems modelling and analysis is presented, extending from conceptual graphs and fuzzy quantifiers to humanist computing and self-organizing maps. Among the core issues investigated are - balancing predictive accuracy and high level transparency in learning - (...)
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  35.  19
    GDP growth vs. criminal phenomena: data mining of Japan 1926–2013.Xingan Li, Henry Joutsijoki, Jorma Laurikkala & Martti Juhola - 2018 - AI and Society 33 (2):261-274.
    The aim of this article is to inquire about potential relationship between change of crime rates and change of gross domestic product growth rate, based on historical statistics of Japan. This national-level study used a dataset covering 88 years and 13 attributes. The data were processed with the self-organizing map, separation power checked by our ScatterCounter method, assisted by other clustering methods and statistical methods for obtaining comparable results. The article is an exploratory application of the SOM in research of (...)
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  36.  12
    Vowel Phoneme Segmentation for Speaker Identification Using an ANN-Based Framework.Kandarpa Kumar Sarma & Mousmita Sarma - 2013 - Journal of Intelligent Systems 22 (2):111-130.
    Vowel phonemes are a part of any acoustic speech signal. Vowel sounds occur in speech more frequently and with higher energy. Therefore, vowel phoneme can be used to extract different amounts of speaker discriminative information in situations where acoustic information is noise corrupted. This article presents an approach to identify a speaker using the vowel sound segmented out from words spoken by the speaker. The work uses a combined self-organizing map - and probabilistic neural network -based approach to segment the (...)
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  37.  15
    Adaptive Shadow and Highlight Invariant Colour Segmentation for Traffic Sign Recognition Based on Kohonen SOM.Al-Hasanat R. M. Bin Mumtaz & Hasan Fleyeh - 2011 - Journal of Intelligent Systems 20 (1):15-31.
    This paper describes an intelligent algorithm for traffic sign recognition which converges quickly, is accurate in its segmentation and adaptive in its behaviour. The proposed approach can segment images of traffic signs in different lighting and environmental conditions and in different countries. It is based on using Kohonen's Self-Organizing Maps as a clustering tool and it is developed for Intelligent Vehicle applications. The current approach does not need any prior training. Instead, a slight portion, which is about 1% of (...)
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  38.  7
    Invisible hands: self-organization and the eighteenth century.Jonathan Sheehan - 2015 - London: University of Chicago Press. Edited by Dror Wahrman.
    In Invisible Hands, the historians Jonathan Sheehan and Dror Wahrman identify a defining feature of the eighteenth-century Enlightenment: the decline of God as a source of order in favor of a new model of self-organization.” Sheehan and Warhman provide a novel account of how people on the threshold of modernity understood the continuing presence in the world of apparent disorder, randomness, and chance. If God no longer actively guaranteed that order will always prevail, what or whom did? The answer, the (...)
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  39. Genres as self-organising systems.Peter B. Andersen - 2000 - In P. B. Andersen, Claus Emmeche, N. O. Finnemann & P. V. Christiansen (eds.), Downward Causation. Aarhus, Denmark: University of Aarhus Press. pp. 214--260.
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  40.  24
    Modeling knowledge‐based inferences in story comprehension.Stefan L. Frank, Mathieu Koppen, Leo G. M. Noordman & Wietske Vonk - 2003 - Cognitive Science 27 (6):875-910.
    A computational model of inference during story comprehension is presented, in which story situations are represented distributively as points in a high‐dimensional “situation‐state space.” This state space organizes itself on the basis of a constructed microworld description. From the same description, causal/temporal world knowledge is extracted. The distributed representation of story situations is more flexible than Golden and Rumelhart's [Discourse Proc 16 (1993) 203] localist representation.A story taking place in the microworld corresponds to a trajectory through situation‐state space. During the (...)
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  41.  41
    Modeling knowledge‐based inferences in story comprehension.Stefan L. Frank, Mathieu Koppen, Leo G. M. Noordman & Wietske Vonk - 2003 - Cognitive Science 27 (6):875-910.
    A computational model of inference during story comprehension is presented, in which story situations are represented distributively as points in a high‐dimensional “situation‐state space.” This state space organizes itself on the basis of a constructed microworld description. From the same description, causal/temporal world knowledge is extracted. The distributed representation of story situations is more flexible than Golden and Rumelhart's [Discourse Proc 16 (1993) 203] localist representation.A story taking place in the microworld corresponds to a trajectory through situation‐state space. During the (...)
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  42.  98
    Précis of neural organization: Structure, function, and dynamics.Michael A. Arbib & Péter Érdi - 2000 - Behavioral and Brain Sciences 23 (4):513-533.
    Neural organization: Structure, function, and dynamics shows how theory and experiment can supplement each other in an integrated, evolving account of the brain's structure, function, and dynamics. (1) Structure: Studies of brain function and dynamics build on and contribute to an understanding of many brain regions, the neural circuits that constitute them, and their spatial relations. We emphasize Szentágothai's modular architectonics principle, but also stress the importance of the microcomplexes of cerebellar circuitry and the lamellae of hippocampus. (2) Function: Control (...)
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  43. Biocity: Emergent Sustainability-Cities as self-organising ecological biotopes.Adrian Mcgregor - 2010 - Topos: European Landscape Magazine 70:70.
     
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  44. Complexity: a guided tour.Melanie Mitchell - 2009 - New York: Oxford University Press.
    What enables individually simple insects like ants to act with such precision and purpose as a group? How do trillions of individual neurons produce something as extraordinarily complex as consciousness? What is it that guides self-organizing structures like the immune system, the World Wide Web, the global economy, and the human genome? These are just a few of the fascinating and elusive questions that the science of complexity seeks to answer. In this remarkably accessible and companionable book, leading complex systems (...)
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  45. Learning to associate object categories and label categories: A self-organising model.Julien Mayor & Kim Plunkett - 2008 - In B. C. Love, K. McRae & V. M. Sloutsky (eds.), Proceedings of the 30th Annual Conference of the Cognitive Science Society. Cognitive Science Society. pp. 697--702.
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  46.  17
    The development of dentist practice profiles and management.Chinho Lin, Chun-Mei Lin & Chienwen Hong - 2009 - Journal of Evaluation in Clinical Practice 15 (1):4-13.
  47.  28
    Rethinking Epistemology, Philosophy of Science and Technology.Backsansky Oleg E. - 2008 - Proceedings of the Xxii World Congress of Philosophy 53:335-342.
    Modern cognitive approach represents the interdisciplinary branch of scientific reflection uniting researchers of knowledge, studying laws of purchase, transformation, representation, storages and reproduction of the information. People react to own experience, instead of "objective" reality. Cognitive map of the world according to which we operate, our feelings, belief and life experience create. We have no direct access to a "objective" reality, therefore our cognitive map is for us this unique "real" reality. Cognitive science widely uses methodology of synergetic approach successfully (...)
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  48.  15
    Rethinking Epistemology, Philosophy of Science and Technology.E. Backsansky Oleg - 2008 - Proceedings of the Xxii World Congress of Philosophy 53:335-342.
    Modern cognitive approach represents the interdisciplinary branch of scientific reflection uniting researchers of knowledge, studying laws of purchase, transformation, representation, storages and reproduction of the information. People react to own experience, instead of "objective" reality. Cognitive map of the world according to which we operate, our feelings, belief and life experience create. We have no direct access to a "objective" reality, therefore our cognitive map is for us this unique "real" reality. Cognitive science widely uses methodology of synergetic approach successfully (...)
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  49.  27
    Cascading SOFM and RBF Networks for Categorization and Indexing of Fly Ashes.C. N. Ravikumar, M. C. Nataraja & M. A. Jayaram - 2011 - Journal of Intelligent Systems 20 (1):61-77.
    The objective of this work is to categorize the available fly ashes in different parts of the world into distinct groups based on its compositional attributes. Kohonen's self-organizing feature map and radial basis function networks are applied in a cascading fashion for the classification of fly ashes in terms of its chemical parameters. The basic procedure of the methodology consists of three stages: apply self-organizing neural net to ascertain possible number of groups, delineate them and identify the group sensitive attributes; (...)
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  50.  38
    Hmm-som に基づく認知行動の獲得とその学習.Minamino Katsuki Aoyama Kazumi - 2007 - Transactions of the Japanese Society for Artificial Intelligence 22 (4):375-388.
    An autonomous agent in the real world should learn its own sensor-motor coordination through interactions with the environment; otherwise the behaviors can not be grounded and they can easily be inappropriate in the variety of the environment. The sensor-motor signals are usually complex time sequence, therefore the cognitive action system of the agent has to handle them.In this paper, we propose a computational model of the cognitive action system that consists of a sensor space HMM-SOM, a motor space HMM-SOM and (...)
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