Relevant bibliographies by topics / Connectionism

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  1. Journal articles
  2. Dissertations / Theses
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  4. Book chapters
  5. Conference papers
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Academic literature on the topic 'Connectionism'

Author: Grafiati
Published: 4 June 2021
Last updated: 25 July 2025

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Journal articles on the topic "Connectionism"

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MARATSOS, M. P. "Problems of Connectionism: Connections and Symbols." Science 242, no. 4883 (1988): 1316–17. http://dx.doi.org/10.1126/science.242.4883.1316.

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Naidu, Som. "Connectionism." Distance Education 33, no. 3 (2012): 291–94. http://dx.doi.org/10.1080/01587919.2012.723321.

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Fowler, David, and David W. Brooks. "Connectionism." Journal of Chemical Education 68, no. 9 (1991): 748. http://dx.doi.org/10.1021/ed068p748.

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Vassallo, Marta, Davide Sattin, Eugenio Parati, and Mario Picozzi. "Problems of Connectionism." Philosophies 9, no. 2 (2024): 41. http://dx.doi.org/10.3390/philosophies9020041.

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The relationship between philosophy and science has always been complementary. Today, while science moves increasingly fast and philosophy shows some problems in catching up with it, it is not always possible to ignore such relationships, especially in some disciplines such as philosophy of mind, cognitive science, and neuroscience. However, the methodological procedures used to analyze these data are based on principles and assumptions that require a profound dialogue between philosophy and science. Following these ideas, this work aims to raise the problems that a classical connectionist the
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Gasser, Michael. "Connectionism and Universals of Second Language Acquisition." Studies in Second Language Acquisition 12, no. 2 (1990): 179–99. http://dx.doi.org/10.1017/s0272263100009074.

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This article examines the implications of connectionist models of cognition for second language theory. Connectionism offers a challenge to the symbolic models which dominate cognitive science. In connectionist models all knowledge is embodied in a network of simple processing units joined by connections which are strengthened or weakened in response to regularities in input patterns. These models avoid the brittleness of symbolic approaches, and they exhibit rule-like behavior without explicit rules. A connectionist framework is proposed within which hypotheses about second language acquisiti
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Beaman, C. Philip. "Neurons amongst the symbols?" Behavioral and Brain Sciences 23, no. 4 (2000): 468–70. http://dx.doi.org/10.1017/s0140525x00233359.

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Page's target article presents an argument for the use of localist, connectionist models in future psychological theorising. The “manifesto” marshalls a set of arguments in favour of localist connectionism and against distributed connectionism, but in doing so misses a larger argument concerning the level of psychological explanation that is appropriate to a given domain.
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Milojevic, Miljana, and Vanja Subotic. "The exploratory status of postconnectionist models." Theoria, Beograd 63, no. 2 (2020): 135–64. http://dx.doi.org/10.2298/theo2002135m.

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This paper aims to offer a new view of the role of connectionist models in the study of human cognition through the conceptualization of the history of connectionism - from the simplest perceptrons to convolutional neural nets based on deep learning techniques, as well as through the interpretation of criticism coming from symbolic cognitive science. Namely, the connectionist approach in cognitive science was the target of sharp criticism from the symbolists, which on several occasions caused its marginalization and almost complete abandonment of its assumptions in the study of cognition. Crit
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Lones, Michael A., Alexander P. Turner, Luis A. Fuente, Susan Stepney, Leo S. D. Caves, and Andy M. Tyrrell. "Biochemical connectionism." Natural Computing 12, no. 4 (2013): 453–72. http://dx.doi.org/10.1007/s11047-013-9400-y.

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Castro Moreno, Carmen Cayetana. "Secuencia y delimitación en el procesamiento textual alemán: modelo conexionista." Futhark. Revista de Investigación y Cultura, no. 7 (2012): 85–114. http://dx.doi.org/10.12795/futhark.2012.i07.03.

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In order to simulate human speech, connectionism has developed several techniques for representation of frames and scripts. These models are able to solve some of the shortcomings of classical cognitive systems. Specifically, classical systems are unable to control when a chunk of knowledge has to be activated and what part of the chunk should be more activated. Instead, connectionist systems can use degrees in mobilizing to try this case. However, connectionism has also some limitations if considered as models of human mind, but they also are a point of interest to the application in the pros
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CHATER, NICK, and MARTIN REDINGTON. "Connectionism, theories of learning, and syntax acquisition: where do we stand?" Journal of Child Language 26, no. 1 (1999): 217–60. http://dx.doi.org/10.1017/s0305000998223749.

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Dissertations / Theses on the topic "Connectionism"

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Berkeley, István Stephen Norman. "On connectionism." Thesis, National Library of Canada = Bibliothèque nationale du Canada, 1997. http://www.collectionscanada.ca/obj/s4/f2/dsk3/ftp04/nq21549.pdf.

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MacRae, John R. "Connectionism in expert systems." Thesis, University of Aberdeen, 1989. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.277364.

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As the technology of computer systems matures, it is becoming clear that conventional techniques are inadequate for complex applications, and attention is being increasingly directed at the use of Knowledge-Based Systems technology. Critical problems in Knowledge-Based Systems are the representation of the expertise from the selected application, and in harnessing sufficient computing power to utilise the stored expertise. An idea which is currently popular in Artificial Intelligence research is that of using parallel processing to ensure that the expertise or knowledge is used effectively, wi
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Christiansen, Morten H. "Connectionism, learning and linguistics structure." Thesis, University of Edinburgh, 1995. http://hdl.handle.net/1842/526.

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This thesis presents a connectionist theory of how infinite languages may fit within finite minds. Arguments are presented against the distinction between linguistic competence and observable language performance. It is suggested that certain kinds of finite state automata, i.e recurrent neural networks are likely to have suffcient computational power,and the necessary generalization capability,to serve as models for the procesing and acquisition of linguistic structure.
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Serchuk, Adam. "Connectionism, disciplinary identity and continuity." Thesis, Virginia Polytechnic Institute and State University, 1989. http://hdl.handle.net/10919/53246.

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Connectionism, a new technique for modeling cognitive processes, has been presented by its supporters as a revolutionary advance that will soon replace conventional artificial intelligence (AI) research based on the serial computer. In this thesis, I identify three 'gambits' with which critics attempt to undermine connectionist claims, and show that use of these gambits depends on the status of the respondent's own discipline. I argue that in cases where the respondent's discipline has an accepted identity, for example biology and psychology, they take contradictory stances on the issue of con
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Krieger, Gordon S. F. "Connectionism, naturalized epistemology, and eliminative materialism." Thesis, McGill University, 1993. http://digitool.Library.McGill.CA:80/R/?func=dbin-jump-full&object_id=68112.

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The aim of this essay is to explore the potential for an epistemology consistent with eliminative materialism based on work in connectionist modeling.<br>I present a review of the connectionist approach to psychological models that contrasts it with the classical symbolic approach, focusing on the nature of their respective representations. While defending the legitimacy of the connectionist approach, I find that its most useful application is as a basis for neuroscientific investigation.<br>Discussing connectionist psychology, I find it inconsistent with folk psychology and therefore consiste
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Harrison, David J. "Connectionism, folk psychology and cognitive architecture." Thesis, University of Sheffield, 1999. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.322924.

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Dayan, Peter Samuel. "Reinforcing connectionism : learning the statistical way." Thesis, University of Edinburgh, 1991. http://hdl.handle.net/1842/14754.

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Connectionism's main contribution to cognitive science will prove to be the renewed impetus it has imparted to learning. Learning can be integrated into the existing theoretical foundations of the subject, and the combination, statistical computational theories, provide a framework within which many connectionist mathematical mechanisms naturally fit. Examples from supervised and reinforcement learning demonstrate this. Statistical computational theories already exist for certainn associative matrix memories. This work is extended, allowing real valued synapses and arbitrarily biased inputs. I
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Casebeer, William D. "Natural ethical facts : evolution, connectionism and moral cognition /." Diss., Connect to a 24 p. preview or request complete full text in PDF format. Access restricted to UC campuses, 2001. http://wwwlib.umi.com/cr/ucsd/fullcit?p3015847.

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Guarini, Marcello 1970. "Rules and representations in the classicism-connectionism debate." Thesis, National Library of Canada = Bibliothèque nationale du Canada, 1998. http://www.collectionscanada.ca/obj/s4/f2/dsk3/ftp04/nq31115.pdf.

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Edwards, A. R. "Detection of instability in power systems using connectionism." Thesis, University of Bath, 1995. https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.760680.

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Books on the topic "Connectionism"

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1951-, Macdonald Cynthia, and Macdonald Graham, eds. Connectionism. Blackwell Publishers, 1995.

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Dawson, Michael R. W., ed. Connectionism. Blackwell Publishing Ltd, 2005. http://dx.doi.org/10.1002/9780470694077.

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Teuscher, Christof. Turing’s Connectionism. Springer London, 2002. http://dx.doi.org/10.1007/978-1-4471-0161-1.

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1947-, Pfeifer Rolf, ed. Connectionism in perspective. North-Holland, 1989.

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Quinlan, Philip T. Connectionism and psychology: A psychological perspective on new connectionist research. Harvester Wheatsheaf, 1991.

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Quinlan, Philip T. Connectionism and psychology: A psychological perspective on new connectionist research. University of Chicago Press, 1991.

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Clark, Andy, and Rudi Lutz, eds. Connectionism in Context. Springer London, 1992. http://dx.doi.org/10.1007/978-1-4471-1923-4.

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M, Todd Peter, and Loy D. Gareth, eds. Music and connectionism. MIT Press, 1991.

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Clark, Andy. Connectionism in Context. Springer London, 1992.

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1957-, Clark Andy, and Lutz Rudi 1952-, eds. Connectionism in context. Springer-Verlag, 1992.

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Book chapters on the topic "Connectionism"

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Karaminis, Themis N., and Michael S. C. Thomas. "Connectionism." In Encyclopedia of the Sciences of Learning. Springer US, 2012. http://dx.doi.org/10.1007/978-1-4419-1428-6_397.

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Wells, A. J. "Connectionism." In Rethinking Cognitive Computation. Macmillan Education UK, 2006. http://dx.doi.org/10.1007/978-1-137-06661-9_18.

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Wangbing, Shen. "Connectionism." In The ECPH Encyclopedia of Psychology. Springer Nature Singapore, 2023. http://dx.doi.org/10.1007/978-981-99-6000-2_9-1.

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Walmsley, Joel. "Connectionism." In Mind and Machine. Palgrave Macmillan UK, 2012. http://dx.doi.org/10.1057/9781137283429_5.

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Weijters, Ton, and Antal van den Bosch. "Connectionism." In Handbook of Pragmatics. John Benjamins Publishing Company, 1995. http://dx.doi.org/10.1075/hop.m.con1.

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Weijters, Ton, and Antal van den Bosch. "Connectionism." In Cognition and Pragmatics. John Benjamins Publishing Company, 2009. http://dx.doi.org/10.1075/hoph.3.08wei.

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Weijters, Ton, and Antal van den Bosch. "Connectionism." In Handbook of Pragmatics. John Benjamins Publishing Company, 2022. http://dx.doi.org/10.1075/hop.m2.con1.

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Sharkey, Amanda J. C., and Noel Sharkey. "Connectionism." In The Routledge Companion to Philosophy of Psychology. Routledge, 2019. http://dx.doi.org/10.4324/9780429244629-12.

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Wangbing, Shen. "Connectionism." In The ECPH Encyclopedia of Psychology. Springer Nature Singapore, 2024. https://doi.org/10.1007/978-981-97-7874-4_9.

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Buckner, Cameron, and James Garson. "Connectionism and post-connectionist models." In The Routledge Handbook of the Computational Mind. Routledge, 2018. http://dx.doi.org/10.4324/9781315643670-7.

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Conference papers on the topic "Connectionism"

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Bennett, Dmitry, and Fernand Gobet. "Cognitive Chunks, Neural Engrams and Natural Concepts: Bridging the Gap between Connectionism and Symbolism." In 2024 IEEE 6th International Conference on Cognitive Machine Intelligence (CogMI). IEEE, 2024. https://doi.org/10.1109/cogmi62246.2024.00036.

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Charniak, Eugene. "Connectionism and explanation." In the 1987 workshop. Association for Computational Linguistics, 1987. http://dx.doi.org/10.3115/980304.980319.

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Lehnert, Wendy G. "Possible implications of connectionism." In the 1987 workshop. Association for Computational Linguistics, 1987. http://dx.doi.org/10.3115/980304.980321.

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Brachman, R. J., and D. L. McGuinness. "Knowledge representation, connectionism and conceptual retrieval." In the 11th annual international ACM SIGIR conference. ACM Press, 1988. http://dx.doi.org/10.1145/62437.62448.

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Darenfed, Salah. "Genetic connectionism for computed tomographic reconstructions." In IS&T/SPIE's Symposium on Electronic Imaging: Science and Technology, edited by Raj S. Acharya and Dmitry B. Goldgof. SPIE, 1993. http://dx.doi.org/10.1117/12.148712.

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Dvoryanchikova, A., A. Lobov, A. Capanji, and J. L. Martinez Lastra. "Connectionism-inspired knowledge modeling for industrial systems." In 2010 8th IEEE International Conference on Industrial Informatics (INDIN). IEEE, 2010. http://dx.doi.org/10.1109/indin.2010.5549587.

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Xin Cui. "Theoretical basis of research program of new connectionism." In 2011 International Conference on Computer Science and Service System (CSSS). IEEE, 2011. http://dx.doi.org/10.1109/csss.2011.5974737.

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Wu, Jianzhong, and Yixin Yu. "Connectionism-Based CBR Method for Distribution Short-Term Nodal Load Forecasting." In TENCON 2005 - 2005 IEEE Region 10 Conference. IEEE, 2005. http://dx.doi.org/10.1109/tencon.2005.301217.

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Jixing, LI, WANG Yu, and QI Bin. "Discussion on Cyber Security Awareness and Awareness Model Building Based on Connectionism." In 2018 IEEE 4th Information Technology and Mechatronics Engineering Conference (ITOEC). IEEE, 2018. http://dx.doi.org/10.1109/itoec.2018.8740446.

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Zulu, Ephraim, and Theordore Haupt. "An Analysis of Connectionism and Schema Construction in Construction Studies Undergraduate Students." In 2017 7th World Engineering Education Forum (WEEF). IEEE, 2017. http://dx.doi.org/10.1109/weef.2017.8467129.

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Reports on the topic "Connectionism"

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Casebeer, William D. Natural Ethical Facts: Evolution, Connectionism, and Moral Cognition. Defense Technical Information Center, 2001. http://dx.doi.org/10.21236/ada387990.

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Shastri, Lokendra. The Relevance of Connectionism to AI: A Representation and Reasoning Perspective. Defense Technical Information Center, 1989. http://dx.doi.org/10.21236/ada225898.

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Stanton, John F., Richard G. Anderson, Charles W. Dolan, and David E. McCleary. Moment Resistant Connections and Simple Connections. Precast/Prestressed Concrete Institute, 1986. http://dx.doi.org/10.15554/pci.rr.conn-008.

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Wawrzynek, John. Connectionist Network Supercomputer Project. Defense Technical Information Center, 1994. http://dx.doi.org/10.21236/ada279206.

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Pollack, Jordan B. High-Level Connectionist Models. Defense Technical Information Center, 1989. http://dx.doi.org/10.21236/ada216581.

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Bazzi, Samuel, and Claudio Labanca. Campaign Connections. National Bureau of Economic Research, 2023. http://dx.doi.org/10.3386/w31283.

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Touretzky, David S., and Geoffrey E. Hinton. A Distributed Connectionist Production System. Defense Technical Information Center, 1987. http://dx.doi.org/10.21236/ada188530.

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Chen, H. H., and Y. C. Lee. Connectionist Models for Intelligent Computation. Defense Technical Information Center, 1994. http://dx.doi.org/10.21236/ada286436.

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Chen, H. H., and Y. C. Lee. Connectionist Models for Intelligent Computation. Defense Technical Information Center, 1994. http://dx.doi.org/10.21236/ada296789.

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Feldman, Jerome A., Dana H. Ballard, Christopher M. Brown, and Gary S. Dell. Rochester Connectionist Papers. 1979-1985. Defense Technical Information Center, 1985. http://dx.doi.org/10.21236/ada170969.

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