Connectionism and cognitive architecture: a critical analysis.

By Jerry A. Fodor, Zenon W. Pylyshyn. 1988

Subfields: Cognitive Science & Psychology, Philosophy

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Citations in the corpus

The Next Decade in AI: Four Steps Towards Robust Artificial Intelligence (2020, methodology): “Learning dynamic polynomial proofs. cs.LG. Fodor, J. A., & Pylyshyn, Z. W. (1988).”
Neural Turing Machines (2014, background): “Fodor and Pylyshyn (Fodor and Pylyshyn, 1988) famously made two barbed claims about the limitations of neural networks for cognitive modeling.”
Compositionality Decomposed: How do Neural Networks Generalise? (2019, background): “The term was introduced by Fodor and Pylyshyn, who used it to denote that “ [t]he ability to produce/understand some sentences is intrinsically connected to the ability to produce/understand certain others ” [Fodor and Pylyshyn, 1988].”
Relational inductive biases, deep learning, and graph networks (2018, background): “When deep learning’s connectionist (Rumelhart et al., 1987) forebears were faced with analogous critiques from structured, symbolic positions (Fodor and Pylyshyn, 1988; Pinker and Prince, 1988), there was a constructive eﬀort (Bobrow and Hinton, 1990; Marcus, 2001) to address the challenges…”
Deep Learning: A Critical Appraisal (2018, background): “In the 80’s Fodor and Pylyshyn (1988)expressed similar concerns, with respect to an earlier breed of neural networks.”
Evaluating Compositionality in Sentence Embeddings (2018, background): “The failure of neural network models to achieve compositionality has been a recurring (and controversial) theme in cognitive science (Fodor & Pylyshyn, 1988; Gershman & Tenenbaum, 2015; Lake & Baroni, 2017).”
Routing Networks and the Challenges of Modular and Compositional Computation (2019, background): “…nature of cognitive task-specific modules and the implementation details of compositional computation have been highly debated [Fodor, 1975, 1983, Fodor and Pylyshyn, 1988, Touretzky and Hinton, 1988, Smolensky, 1988, i.a.].1 Among others, there are two notable early attempts to build modular…”
Rethinking eliminative connectionism. (1998, background): “Concern about whether eliminative connectionist networks can adequately generalize has been central to most critiques of eliminative connectionism, including Fodor and Pylsyhyn (1988), Hadley (1994), Marcus et al. (1995), Prasada and Pinker (1993), and Pinker and Prince (1988).”
Extending Machine Language Models toward Human-Level Language Understanding (2019, background): “Fodor and Pylyshyn (8) argued that our cognitive systems must be compositional by design to allow language to express arbitrary relationships and noted that early neural network models failed tests of compositionality.”