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Journal articles on the topic 'Connectionism'

Author: Grafiati

Published: 4 June 2021

Last updated: 25 July 2025

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1

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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2

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

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3

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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4

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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5

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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6

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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7

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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8

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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9

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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10

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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11

Berkeley, Istvan S. N. "The Curious Case of Connectionism." Open Philosophy 2, no. 1 (2019): 190–205. http://dx.doi.org/10.1515/opphil-2019-0018.

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AbstractConnectionist research first emerged in the 1940s. The first phase of connectionism attracted a certain amount of media attention, but scant philosophical interest. The phase came to an abrupt halt, due to the efforts of Minsky and Papert (1969), when they argued for the intrinsic limitations of the approach. In the mid-1980s connectionism saw a resurgence. This marked the beginning of the second phase of connectionist research. This phase did attract considerable philosophical attention. It was of philosophical interest, as it offered a way of counteracting the conceptual ties to the

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12

Phaf, R. Hans. "Connectionism and psychology: A psychological perspective on new connectionist research." Acta Psychologica 85, no. 2 (1994): 178–81. http://dx.doi.org/10.1016/0001-6918(94)90033-7.

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13

Dobson, Richard, Peter M. Todd, D. Gareth Loy, and David Rosenboom. "Music and Connectionism." Notes 49, no. 4 (1993): 1497. http://dx.doi.org/10.2307/899412.

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14

McLaughlin, Brian. "TYE ON CONNECTIONISM." Southern Journal of Philosophy 26, S1 (2010): 185–93. http://dx.doi.org/10.1111/j.2041-6962.1988.tb00472.x.

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15

SCHWARZ, GEORG. "Connectionism, Processing, Memory." Connection Science 4, no. 3-4 (1992): 207–26. http://dx.doi.org/10.1080/09540099208946616.

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16

Kassirer, Jerome P., and Richard I. Kopelman. "Cognition and Connectionism." Hospital Practice 25, no. 2 (1990): 15–26. http://dx.doi.org/10.1080/21548331.1990.11703906.

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17

McNaughton, Neil. "Evolution and connectionism." Behavioral and Brain Sciences 13, no. 2 (1990): 402–3. http://dx.doi.org/10.1017/s0140525x00079449.

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18

Zucker, Steven W. "Does connectionism suffice?" Behavioral and Brain Sciences 8, no. 2 (1985): 301–2. http://dx.doi.org/10.1017/s0140525x00020823.

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19

Smolensky, Paul. "Connectionism and implementation." Behavioral and Brain Sciences 10, no. 3 (1987): 492–93. http://dx.doi.org/10.1017/s0140525x00023712.

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20

Sterelny, Kim. "Connectionism Rules, OK?" Dialogue 32, no. 3 (1993): 545–54. http://dx.doi.org/10.1017/s0012217300012312.

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Those familiar with Paul Churchland's earlier work will expect A Neuro-computational Perspective to be lively, provocative and interesting. They will not be disappointed. Churchland is best known for his sceptical view of belief-desire psychology. He suspects this theory is hopelessly false. This welcome collection of his essays includes this work but also his papers on the subjective aspects of the mind and his more recent adventures in philosophy of science. Three themes unify the collection: an anti-sententialist view of cognition, an emphasis on the plasticity of the human mind and a stron

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21

Cordeschi, Roberto. "Early-connectionism machines." AI & Society 14, no. 3-4 (2000): 314–30. http://dx.doi.org/10.1007/bf01205514.

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22

Sánchez, V. D. A. "Connectionism in perspective." Neurocomputing 2, no. 3 (1991): 135–40. http://dx.doi.org/10.1016/0925-2312(91)90059-k.

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23

Biggs, Norman. "Combinatorics and connectionism." Discrete Mathematics 124, no. 1-3 (1994): 19–36. http://dx.doi.org/10.1016/0012-365x(92)00048-v.

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24

Clapin, Hugh. "Connectionism isn't magic." Minds and Machines 1, no. 2 (1991): 167–84. http://dx.doi.org/10.1007/bf00361035.

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25

Bechtel, William. "Currents in connectionism." Minds and Machines 3, no. 2 (1993): 125–53. http://dx.doi.org/10.1007/bf00975529.

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26

O'Brien, Gerard J. "Is connectionism commonsense?" Philosophical Psychology 4, no. 2 (1991): 165–78. http://dx.doi.org/10.1080/09515089108573024.

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27

Plunkett, Kim. "Connectionism and development." Infant Behavior and Development 19 (April 1996): 178. http://dx.doi.org/10.1016/s0163-6383(96)90233-7.

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28

Smith, Linda B. "Teleology in connectionism." Developmental Science 5, no. 2 (2002): 178–80. http://dx.doi.org/10.1111/1467-7687.00218_4.

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29

DiPalma, Louis P., and David J. Hamilton. "Music and Connectionism." Journal of the Acoustical Society of America 96, no. 2 (1994): 1218–19. http://dx.doi.org/10.1121/1.410341.

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30

Garton, Brad. "Music and connectionism." Artificial Intelligence 79, no. 2 (1995): 387–98. http://dx.doi.org/10.1016/0004-3702(95)90015-2.

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31

Marcus, Gary F. "Rethinking Eliminative Connectionism." Cognitive Psychology 37, no. 3 (1998): 243–82. http://dx.doi.org/10.1006/cogp.1998.0694.

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32

Seidenberg, Mark S. "Connectionist Models and Cognitive Theory." Psychological Science 4, no. 4 (1993): 228–35. http://dx.doi.org/10.1111/j.1467-9280.1993.tb00266.x.

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Connectionist models have come to play an important role in cognitive science and in cognitive neuroscience, yet their role in explaining behavior is not necessarily obvious and has generated considerable debate. Connectionism is a body of tools and ideas that can be used in different ways. It can be treated as a form of simulation modeling in which the goal is to implement preexisting theories. In this approach, connectionist models function as a kind of statistical tool, a way of analyzing a complex set of data. Connectionism can also be seen as providing a small set of general theoretical p

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33

Banan, Shahryar, Muhammad Ridwan, and Abdurahman Adisaputera. "A Study of Connectionism Theory." Budapest International Research and Critics Institute (BIRCI-Journal): Humanities and Social Sciences 3, no. 3 (2020): 2335–42. http://dx.doi.org/10.33258/birci.v3i3.1181.

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The development of connectionism represents a paradigm shift in science. Connectionism has its root in cognitive and computational neuroscience. Likening the brain to a computer, connectionism tries to describe human mental abilities in terms of artificial neural networks. A neural network consists of a large number of nodes and units which are joined together to form an interconnection network. Within these interconnections, knowledge is distributed. Therefore learning is a processing by-product. This article is about the concept of connectionism, what it accounts for and what it doesn't take

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34

O'Loughlin, Claire F., and Annette Karmiloff-Smith. "Evaluating connectionism: A developmental perspective." Behavioral and Brain Sciences 26, no. 5 (2003): 614–15. http://dx.doi.org/10.1017/s0140525x03310131.

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This commentary questions the applicability of the Newell Test for evaluating the utility of connectionism. Rather than being a specific theory of cognition (because connectionism can be used to model nativist, behaviorist, or constructivist theories), connectionism, we argue, offers researchers a collection of computational and conceptual tools that are particularly useful for investigating and rendering specific fundamental issues of human development. These benefits of connectionism are not well captured by evaluating it against Newell's criteria for a unified theory of cognition.

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35

HAHN, ULRIKE. "Language acquisition also needs non-connectionist models." Journal of Child Language 26, no. 1 (1999): 217–60. http://dx.doi.org/10.1017/s0305000998283747.

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Rethinking innateness is a timely volume which forcefully demonstrates the importance of modelling in understanding development, ‘innateness’, and the nature of change. It provides an inspiring vision of what developmental psychology could one day be like, linking behaviour and biology via connectionist models. However, Rispoli's worry about the book's potential for detrimental polarization does not seem unfounded. One aspect of the book that deserves comment in this respect is the focus on connectionism to the exclusion of other types of model. It is unclear from Rethinking innateness itself

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36

Hadley, Robert F. "The Problem of Rapid Variable Creation." Neural Computation 21, no. 2 (2009): 510–32. http://dx.doi.org/10.1162/neco.2008.07-07-572.

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Both Marcus ( 2001 ) and Jackendoff ( 2002 ) have emphasized the importance of finding credible explanations for the occurrence of variables within cognitive representations. Marcus, in particular, has argued that a prevailing form of connectionist modeling, eliminative connectionism, cannot adequately explain crucial forms of human generalization. Eliminative connectionism eschews the use of explicitly represented variables, and the latter, Marcus contends, play an essential role in the forms of generalization that he considers. Recently, van der Velde and de Kamps ( 2006 ) proposed a neural

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37

Mills, Stephen. "Smolensky’s Interpretation of Connectionism." Irish Philosophical Journal 7, no. 1 (1990): 104–18. http://dx.doi.org/10.5840/irishphil199071/25.

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38

Lycan, William G. "Connectionism and the Mental." Noûs 25, no. 2 (1991): 207. http://dx.doi.org/10.2307/2215585.

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39

Plunkett, Kim, and Chris Sinha. "Connectionism and developmental theory." British Journal of Developmental Psychology 10, no. 3 (1992): 209–54. http://dx.doi.org/10.1111/j.2044-835x.1992.tb00575.x.

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40

Fetzer, James H. "What makes connectionism different?" Pragmatics and Cognition 2, no. 2 (1994): 327–48. http://dx.doi.org/10.1075/pc.2.2.09fet.

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41

Goldstein, Laurence, and Hartley Slater. "Wittgenstein, Semantics and Connectionism." Philosophical Investigations 21, no. 4 (1998): 293–314. http://dx.doi.org/10.1111/1467-9205.00074.

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42

Plunkett, Kim. "Language Acquisition and Connectionism." Language and Cognitive Processes 13, no. 2-3 (1998): 97–104. http://dx.doi.org/10.1080/016909698386483.

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43

Tienson, John L. "AN INTRODUCTION TO CONNECTIONISM." Southern Journal of Philosophy 26, S1 (2010): 1–16. http://dx.doi.org/10.1111/j.2041-6962.1988.tb00460.x.

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44

Graham, George. "CONNECTIONISM IN PAVLOVIAN HARNESS." Southern Journal of Philosophy 26, S1 (2010): 73–91. http://dx.doi.org/10.1111/j.2041-6962.1988.tb00465.x.

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45

HARRIS, CATHERINE L. "Connectionism and Cognitive Linguistics." Connection Science 2, no. 1-2 (1990): 7–33. http://dx.doi.org/10.1080/09540099008915660.

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46

CHRISTIANSEN, MORTEN H., and NICK CHATER. "Connectionism, Learning and Meaning." Connection Science 4, no. 3-4 (1992): 227–52. http://dx.doi.org/10.1080/09540099208946617.

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47

North, Geoffrey. "A celebration of connectionism." Nature 328, no. 6126 (1987): 107. http://dx.doi.org/10.1038/328107a0.

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48

Dulany, Donelson E. "Consciousness, connectionism, and intentionality." Behavioral and Brain Sciences 22, no. 1 (1999): 154–55. http://dx.doi.org/10.1017/s0140525x99281794.

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49

Marcus, Gary F. "Can connectionism save constructivism?" Cognition 66, no. 2 (1998): 153–82. http://dx.doi.org/10.1016/s0010-0277(98)00018-3.

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50

Bechtel, William. "Connectionism and interlevel relations." Behavioral and Brain Sciences 11, no. 1 (1988): 24–25. http://dx.doi.org/10.1017/s0140525x00052456.

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