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Статті в журналах з теми "Connectionist paradigm"
Lycan, William G. "Explanationism, ECHO, and the connectionist paradigm." Behavioral and Brain Sciences 12, no. 3 (September 1989): 480. http://dx.doi.org/10.1017/s0140525x00057198.
Повний текст джерелаRobins, Anthony V. "MULTIPLE REPRESENTATIONS IN CONNECTIONIST SYSTEMS." International Journal of Neural Systems 02, no. 04 (January 1991): 345–62. http://dx.doi.org/10.1142/s0129065791000327.
Повний текст джерелаMacLeod, Christopher, and Niccolo F. Capanni. "Artificial biochemical networks: a different connectionist paradigm." Artificial Intelligence Review 33, no. 1-2 (November 18, 2009): 123–34. http://dx.doi.org/10.1007/s10462-009-9149-y.
Повний текст джерелаPasquinelli, Matteo. "How to Make a Class." Qui Parle 30, no. 1 (June 1, 2021): 159–84. http://dx.doi.org/10.1215/10418385-8955836.
Повний текст джерелаRaghu, T. S., R. Ramesh, Ai-Mei Chang, and Andrew B. Whinston. "Collaborative Decision Making: A Connectionist Paradigm for Dialectical Support." Information Systems Research 12, no. 4 (December 2001): 363–83. http://dx.doi.org/10.1287/isre.12.4.363.9705.
Повний текст джерелаGarzón, Francisco Calvo. "Rules, similarity, and the information-processing blind alley." Behavioral and Brain Sciences 28, no. 1 (February 2005): 17–18. http://dx.doi.org/10.1017/s0140525x05260016.
Повний текст джерелаSOHN, ANDREW, and JEAN-LUC GAUDIOT. "REPRESENTING AND PROCESSING PRODUCTION SYSTEMS IN CONNECTIONIST ARCHITECTURES." International Journal of Pattern Recognition and Artificial Intelligence 04, no. 02 (June 1990): 199–214. http://dx.doi.org/10.1142/s0218001490000149.
Повний текст джерелаGibbons, Michelle. "Attaining landmark status: Rumelhart and McClelland'sPDP Volumesand the Connectionist Paradigm." Journal of the History of the Behavioral Sciences 55, no. 1 (December 24, 2018): 54–70. http://dx.doi.org/10.1002/jhbs.21946.
Повний текст джерелаGiarelli, Guido. "Il "quadrilatero" di Ardigň: genealogia e sviluppo di un paradigma emergente." SALUTE E SOCIETÀ, no. 2 (September 2009): 217–37. http://dx.doi.org/10.3280/ses2009-su2022.
Повний текст джерелаMaldonado, Igor Lima, Vitor Parente de Matos, Taryn Ariadna Castro Cuesta, Guillaume Herbet, and Christophe Destrieux. "The human cingulum: From the limbic tract to the connectionist paradigm." Neuropsychologia 144 (July 2020): 107487. http://dx.doi.org/10.1016/j.neuropsychologia.2020.107487.
Повний текст джерелаДисертації з теми "Connectionist paradigm"
Graf, Daryl H. "Manifold constraints, a paradigm for connectionist computation." Thesis, National Library of Canada = Bibliothèque nationale du Canada, 1998. http://www.collectionscanada.ca/obj/s4/f2/dsk2/ftp02/NQ32335.pdf.
Повний текст джерелаGraf, Daryl H. (Daryl Herbert) Carleton University Dissertation Computer Science. "Manifold constraints: a paradigm for connectionist computation." Ottawa, 1998.
Знайти повний текст джерелаПаржин, Юрій Володимирович. "Моделі і методи побудови архітектури і компонентів детекторних нейроморфних комп'ютерних систем". Thesis, НТУ "ХПІ", 2018. http://repository.kpi.kharkov.ua/handle/KhPI-Press/34755.
Повний текст джерелаDissertation for the degree of Doctor of Technical Sciences in the specialty 05.13.05 – Computer systems and components. – National Technical University "Kharkiv Polytechnic Institute", Ministry of Education and Science of Ukraine, Kharkiv, 2018. The thesis is devoted to solving the problem of increasing the efficiency of building and using neuromorphic computer systems (NCS) as a result of developing models for constructing their components and a general architecture, as well as methods for their training based on the formalized detection principle. As a result of the analysis and classification of the architecture and components of the NCS, it is established that the connectionist paradigm for constructing artificial neural networks underlies all neural network implementations. The detector principle of constructing the architecture of the NCS and its components was substantiated and formalized, which is an alternative to the connectionist paradigm. This principle is based on the property of the binding of the elements of the input signal vector and the corresponding weighting coefficients of the NCS. On the basis of the detector principle, multi-segment threshold information models for the components of the detector NCS (DNCS): block-detectors, block-analyzers and a novelty block were developed. As a result of the developed method of counter training, these components form concepts that determine the necessary and sufficient conditions for the formation of reactions. The method of counter training of DNCS allows reducing the time of its training in solving practical problems of image recognition up to one epoch and reducing the dimension of the training sample. In addition, this method allows to solve the problem of stability-plasticity of DNCS memory and the problem of its overfitting based on self-organization of a map of block-detectors of a secondary level of information processing under the control of a novelty block. As a result of the research, a model of the network architecture of DNCS was developed, which consists of two layers of neuromorphic components of the primary and secondary levels of information processing, and which reduces the number of necessary components of the system. To substantiate the increase in the efficiency of constructing and using the NCS on the basis of the detector principle, software models were developed for automated monitoring and analysis of the external electromagnetic environment, as well as recognition of the manuscript figures of the MNIST database. The results of the study of these systems confirmed the correctness of the theoretical provisions of the dissertation and the high efficiency of the developed models and methods.
Паржин, Юрій Володимирович. "Моделі і методи побудови архітектури і компонентів детекторних нейроморфних комп'ютерних систем". Thesis, НТУ "ХПІ", 2018. http://repository.kpi.kharkov.ua/handle/KhPI-Press/34756.
Повний текст джерелаDissertation for the degree of Doctor of Technical Sciences in the specialty 05.13.05 – Computer systems and components. – National Technical University "Kharkiv Polytechnic Institute", Ministry of Education and Science of Ukraine, Kharkiv, 2018. The thesis is devoted to solving the problem of increasing the efficiency of building and using neuromorphic computer systems (NCS) as a result of developing models for constructing their components and a general architecture, as well as methods for their training based on the formalized detection principle. As a result of the analysis and classification of the architecture and components of the NCS, it is established that the connectionist paradigm for constructing artificial neural networks underlies all neural network implementations. The detector principle of constructing the architecture of the NCS and its components was substantiated and formalized, which is an alternative to the connectionist paradigm. This principle is based on the property of the binding of the elements of the input signal vector and the corresponding weighting coefficients of the NCS. On the basis of the detector principle, multi-segment threshold information models for the components of the detector NCS (DNCS): block-detectors, block-analyzers and a novelty block were developed. As a result of the developed method of counter training, these components form concepts that determine the necessary and sufficient conditions for the formation of reactions. The method of counter training of DNCS allows reducing the time of its training in solving practical problems of image recognition up to one epoch and reducing the dimension of the training sample. In addition, this method allows to solve the problem of stability-plasticity of DNCS memory and the problem of its overfitting based on self-organization of a map of block-detectors of a secondary level of information processing under the control of a novelty block. As a result of the research, a model of the network architecture of DNCS was developed, which consists of two layers of neuromorphic components of the primary and secondary levels of information processing, and which reduces the number of necessary components of the system. To substantiate the increase in the efficiency of constructing and using the NCS on the basis of the detector principle, software models were developed for automated monitoring and analysis of the external electromagnetic environment, as well as recognition of the manuscript figures of the MNIST database. The results of the study of these systems confirmed the correctness of the theoretical provisions of the dissertation and the high efficiency of the developed models and methods.
Valente, Alan Rafael. "O estatuto científico da ciência cognitiva em sua fase inicial : uma análise baseada na perspectiva epistemológica de Thomas Kuhn /." Marília, 2019. http://hdl.handle.net/11449/181089.
Повний текст джерелаBanca: Osvaldo Frota Pessoa Júnior
Banca: Max Rogério Vicentini
Resumo: Nesta Dissertação desenvolvemos uma análise do estatuto científico da ciência cognitiva, em sua fase inicial, mais especificamente no período entre as décadas de 1940 e 1970. Como ponto de partida, utilizamos a abordagem epistemológica de Thomas Kuhn sobre as revoluções científicas. Para alcançar esse objetivo, dividimos a dissertação em três capítulos. No primeiro, expomos alguns dos principais conceitos relacionados à abordagem de Kuhn referentes à estrutura das revoluções científicas. Um dos conceitos-base dessa perspectiva é a noção de paradigma. Um paradigma estabelece e norteia a atividade de uma comunidade científica. Ele é constituído, dentre outras coisas, por teorias empiricamente testáveis, métodos de pesquisa, experimentos, formas de procedimentos, conjuntos de leis e princípios. Indica, ainda, os problemas a serem desenvolvidos pela comunidade científica, determinando uma agenda científica. Via de regra, a fase inicial de uma nova área de pesquisa é marcada por um momento de luta paradigmática, caracterizando-se pela existência de diversos paradigmas rivais. Desde o momento em que um deles passa a ser dominante, a área de pesquisa alcança o estatuto de ciência normal. Uma vez apresentada, de maneira geral, a abordagem de Kuhn, no segundo capítulo passamos a tratar da ciência cognitiva em sua fase inicial. Ainda com raízes na cibernética, esse movimento intelectual, em seus primeiros momentos, almejava instaurar uma ciência dos processos cognitivos. Essa perspecti... (Resumo completo, clicar acesso eletrônico abaixo)
Abstract: In this dissertation, we seek to develop an analysis of the scientific status of cognitive science in its initial phase, more specifically the period between the 1940s and 1970s. As a starting point for this analysis, we use Thomas Kuhn's epistemological approach to revolutions scientific research. To achieve this goal, we divided the dissertation into three chapters. In the first, we present some of the main concepts related to Kuhn's approach to the structure of scientific revolutions. One of the basic concepts of this perspective is the notion of paradigm. A paradigm establishes and guides the activity of a scientific community. It is constituted, among other things, by empirically testable theories, methods of research, experiments, forms of procedures, sets of laws and principles. It also indicates the problems to be developed by the scientific community, determining a scientific agenda. As a rule, the initial phase of a new area of research is marked by a moment of paradigmatic struggle, characterized by the existence of several rival paradigms. From the moment one of them becomes dominant, the area of research reaches the status of normal science. Having presented, in general, Kuhn's approach, in the second chapter we turn to cognitive science in its initial phase. Still rooted in cybernetics, this intellectual movement, in its first moments, aimed to establish a science of cognitive processes. This perspective adopts by methodological principle the conception that cer... (Complete abstract click electronic access below)
Mestre
Hostičková, Iva. "Vývoj paradigmat výzkumu umělé inteligence." Master's thesis, 2014. http://www.nusl.cz/ntk/nusl-332251.
Повний текст джерелаКниги з теми "Connectionist paradigm"
Clayton, Charles Walker. Connections!: Change your paradigm and you change your life! Radcliffe, IA: Ide House Publishers, 2004.
Знайти повний текст джерелаClayton, Charles Walker. Connections for communication that works: Change your paradigm--change your life. Radcliffe, IA: Ide House, 2005.
Знайти повний текст джерелаGrgic, Ana. Early Cinema, Modernity and Visual Culture. NL Amsterdam: Amsterdam University Press, 2021. http://dx.doi.org/10.5117/9789463728300.
Повний текст джерелаCinquegrani, Alessandro, Francesca Pangallo, and Federico Rigamonti. Romance e Shoah Pratiche di narrazione sulla tragedia indicibile. Venice: Fondazione Università Ca’ Foscari, 2021. http://dx.doi.org/10.30687/978-88-6969-492-9.
Повний текст джерелаDinsmore, John. The Symbolic and Connectionist Paradigms. Psychology Press, 2014. http://dx.doi.org/10.4324/9781315807058.
Повний текст джерела1949-, Dinsmore John, ed. The symbolic and connectionist paradigms: Closing the gap. Hillsdale, N.J: L. Erlbaum Associates, 1992.
Знайти повний текст джерелаRosmarin, David. Connections Paradigm: Ancient Jewish Wisdom for Modern Mental Health. Templeton Press, 2020.
Знайти повний текст джерелаDinsmore, John. The Symbolic and Connectionist Paradigms: Closing the Gap (Cognitive Science Series : Technical Monographs and Edited Collection). Lawrence Erlbaum, 1992.
Знайти повний текст джерелаDinsmore, John. The Symbolic and Connectionist Paradigms: Closing the Gap (The Cognitive Science Series : Technical Monographs and Edited Collection). Lawrence Erlbaum, 1992.
Знайти повний текст джерелаLewis, Brad. Making "connections" and shifting the educational paradigm: One school's struggle to empower students through transforming the educational process. 1996.
Знайти повний текст джерелаЧастини книг з теми "Connectionist paradigm"
Sayegh, Samir I. "A Fast Connectionist Learning Paradigm." In International Neural Network Conference, 786. Dordrecht: Springer Netherlands, 1990. http://dx.doi.org/10.1007/978-94-009-0643-3_77.
Повний текст джерелаYue, Tai-Wen, and Suchen Chiang. "The General Neural-Network Paradigm for Visual Cryptography." In Connectionist Models of Neurons, Learning Processes, and Artificial Intelligence, 196–206. Berlin, Heidelberg: Springer Berlin Heidelberg, 2001. http://dx.doi.org/10.1007/3-540-45720-8_23.
Повний текст джерелаFederici, Stefano, Vito Pirrelli, and François Yvon. "A dynamic approach to paradigm-driven analogy." In Connectionist, Statistical and Symbolic Approaches to Learning for Natural Language Processing, 385–98. Berlin, Heidelberg: Springer Berlin Heidelberg, 1996. http://dx.doi.org/10.1007/3-540-60925-3_61.
Повний текст джерелаRigoll, G., and J. Rottland. "Mutual Information Neural Networks: A New Connectionist Paradigm for Dynamic Pattern Recognition Tasks." In Neural Networks: Artificial Intelligence and Industrial Applications, 217–20. London: Springer London, 1995. http://dx.doi.org/10.1007/978-1-4471-3087-1_42.
Повний текст джерелаKasabov, Nikola. "ECOS — Evolving Connectionist Systems — a New/Old Paradigm for On-line Learning and Knowledge Engineering." In Future Directions for Intelligent Systems and Information Sciences, 3–12. Heidelberg: Physica-Verlag HD, 2000. http://dx.doi.org/10.1007/978-3-7908-1856-7_1.
Повний текст джерелаGarcez, Artur S. d’Avila. "Fewer Epistemological Challenges for Connectionism." In New Computational Paradigms, 139–49. Berlin, Heidelberg: Springer Berlin Heidelberg, 2005. http://dx.doi.org/10.1007/11494645_18.
Повний текст джерелаCangelosi, Angelo. "Symbol Grounding in Connectionist and Adaptive Agent Models." In New Computational Paradigms, 69–74. Berlin, Heidelberg: Springer Berlin Heidelberg, 2005. http://dx.doi.org/10.1007/11494645_10.
Повний текст джерелаHorgan, Terence, and John Tienson. "Settling into a New Paradigm." In Connectionism and the Philosophy of Mind, 241–60. Dordrecht: Springer Netherlands, 1991. http://dx.doi.org/10.1007/978-94-011-3524-5_11.
Повний текст джерелаAbramov, Dimitri M., and Renan W. F. Vitral. "Instant Pattern Filtering and Discrimination in a Multilayer Network with Gaussian Distribution of the Connections." In Pixelization Paradigm, 240–52. Berlin, Heidelberg: Springer Berlin Heidelberg, 2007. http://dx.doi.org/10.1007/978-3-540-71027-1_21.
Повний текст джерелаKaburlasos, Vassilis G. "Connections with Established Paradigms." In Towards a Unified Modeling and Knowledge-Representation based on Lattice Theory, 141–72. Berlin, Heidelberg: Springer Berlin Heidelberg, 2006. http://dx.doi.org/10.1007/978-3-540-34170-3_10.
Повний текст джерелаТези доповідей конференцій з теми "Connectionist paradigm"
Takeda, Hideaki, Susumu Hamada, Tetsuo Tomiyama, and Hiroyuki Yoshikawa. "A Cognitive Approach to the Analysis of Design Processes." In ASME 1990 Design Technical Conferences. American Society of Mechanical Engineers, 1990. http://dx.doi.org/10.1115/detc1990-0121.
Повний текст джерелаStojanovska, Ivana, Blerta Prevalla, and Biljana Percinkova. "Modeling and Simulating Multi-agent Model Connections: An Application to Information Paradigm." In 2010 Second International Conference on Computer Modeling and Simulation (ICCMS). IEEE, 2010. http://dx.doi.org/10.1109/iccms.2010.265.
Повний текст джерелаPlessis, Guillaume, Andrei Muradov, Chuck Wright, Dan Morgan, Jeremy Dugas, Brennan White, and Dallas Daley. "Breaking the Performance/Cost Paradigm in Drill Pipe Connections in Extended Reach Drilling." In IADC/SPE Drilling Conference and Exhibition. Society of Petroleum Engineers, 2018. http://dx.doi.org/10.2118/189588-ms.
Повний текст джерелаDoyle Prestwich, Barbara. "Learning beyond the classroom - Importance of residential fieldcourses in teaching plant biology." In Learning Connections 2019: Spaces, People, Practice. University College Cork||National Forum for the Enhancement of Teaching and Learning in Higher Education, 2019. http://dx.doi.org/10.33178/lc2019.28.
Повний текст джерелаLopes, Rafael, Denis Rosário, Eduardo Cerqueira, and Helder Oliveira. "Mecanismo de Proteção em SDM-EON Ciente da Prioridade de Tráfego." In Workshop em Desempenho de Sistemas Computacionais e de Comunicação. Sociedade Brasileira de Computação - SBC, 2020. http://dx.doi.org/10.5753/wperformance.2020.11102.
Повний текст джерелаMichelena, Nestor, and Katia Sycara. "Physical Synthesis in Case-Based Design." In ASME 1994 Design Technical Conferences collocated with the ASME 1994 International Computers in Engineering Conference and Exhibition and the ASME 1994 8th Annual Database Symposium. American Society of Mechanical Engineers, 1994. http://dx.doi.org/10.1115/detc1994-0027.
Повний текст джерелаBenitez-Davalos, Walter, Fabio López-Pires, David Cabañas, and Yessica Bogado-Sarubbi. "Technical Experiences on a Microservices-oriented Transformation using Open Source Software." In Congresso Latino-Americano de Software Livre e Tecnologias Abertas. Sociedade Brasileira de Computação - SBC, 2019. http://dx.doi.org/10.5753/latinoware.2019.10354.
Повний текст джерелаGomes, André, Frederico Resende, Luan Gonçalves, and Flávio Luiz Schiavoni. "Prototyping Web instruments with Mosaicode." In Simpósio Brasileiro de Computação Musical. Sociedade Brasileira de Computação - SBC, 2019. http://dx.doi.org/10.5753/sbcm.2019.10431.
Повний текст джерелаLiou, Meng-Sing, and Byung Joon Lee. "Minimizing Inlet Distortion for Hybrid Wing Body Aircraft." In ASME Turbo Expo 2010: Power for Land, Sea, and Air. ASMEDC, 2010. http://dx.doi.org/10.1115/gt2010-22378.
Повний текст джерелаMeza, O. Grijalva, J. Holzmann Berdasco, N. Perozo Baptista, C. Paz Carvajal, and J. Oppelt. "Technological Improvements in OCTG Premium Casing Connections and Advancements in Design Paradigms to Address the Challenges Present During the Exploitation of Unconventional Hydrocarbon Resources: A Critical Review." In Abu Dhabi International Petroleum Exhibition & Conference. Society of Petroleum Engineers, 2016. http://dx.doi.org/10.2118/183199-ms.
Повний текст джерелаЗвіти організацій з теми "Connectionist paradigm"
Журба, С. С. Інтертекстуальні перегуки та збіжності у прозі М. Хвильового та Ф. Кафки. Акцент, 2007. http://dx.doi.org/10.31812/123456789/6037.
Повний текст джерелаSyvash, Kateryna. AUDIENCE FEEDBACK AS AN ELEMENT OF PARASOCIAL COMMUNICATION WITH SCREEN MEDIA-PERSONS. Ivan Franko National University of Lviv, February 2021. http://dx.doi.org/10.30970/vjo.2021.49.11062.
Повний текст джерела