- A Defense of Meaning Eliminativism: A Connectionist Approach.Tolgahan Toy - 2022 - Dissertation, Middle East Technical Universitydetails
- Schemas Versus Symbols: A Vision From the 90s.Michael A. Arbib - 2021 - Journal of Knowledge Structures and Systems 2 (1):68-74.details
- Towards Knowledge-Driven Distillation and Explanation of Black-Box Models.Roberto Confalonieri, Guendalina Righetti, Pietro Galliani, Nicolas Toquard, Oliver Kutz & Daniele Porello - 2021 - In Proceedings of the Workshop on Data meets Applied Ontologies in Explainable {AI} {(DAO-XAI} 2021) part of Bratislava Knowledge September {(BAKS} 2021), Bratislava, Slovakia, September 18th to 19th, 2021. CEUR 2998.details
- Superposition.Ilexa Yardley - 2021 - Https://Medium.Com/the-Circular-Theory/.details
- 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..details
- The Knowledge Level in Cognitive Architectures: Current Limitations and Possible Developments.Antonio Lieto, Christian Lebiere & Alessandro Oltramari - 2018 - Cognitive Systems Research:1-42.details
- Symbolic Representations of Reality.Ilexa Yardley - 2018 - Https://Medium.Com/the-Circular-Theory/.details
- Conceptual Spaces for Cognitive Architectures: A Lingua Franca for Different Levels of Representation.Antonio Lieto, Antonio Chella & Marcello Frixione - 2017 - Biologically Inspired Cognitive Architectures 19:1-9.details
- HeX and the Single Anthill: Playing Games with Aunt Hillary.J. M. Bishop, S. J. Nasuto, T. Tanay, E. B. Roesch & M. C. Spencer - 2015 - In Vincent Müller (ed.), Fundamental Issues of Artificial Intelligence. Springer. pp. 367-389.details
- Review of Fenstad's "Grammar, Geometry & Brain". [REVIEW]Erich Rast - 2014 - Studia Logica 102 (1):219-223.details
- Dietmar Heinke and Eirini Mavritsaki (Eds): Computational Modelling in Behavioural Neuroscience. [REVIEW]Juan Felipe Martinez Florez - 2012 - Minds and Machines 22 (1):57-60.details
- Searching for General Principles in Cognitive Performance: Reply to Commentators.Damian G. Stephen & Guy Van Orden - 2012 - Topics in Cognitive Science 4 (1):94-102.details
- Qu’est-ce que l’informatique.Franck Varenne - 2009 - Paris: Vrin.details
- What the <0.70, 1.17, 0.99, 1.07> is a Symbol?Istvan S. N. Berkeley - 2008 - Minds and Machines 18 (1):93-105.details
- Semantic Cognition or Data Mining?Denny Borsboom & Ingmar Visser - 2008 - Behavioral and Brain Sciences 31 (6):714-715.details
- Is There a Future for AI Without Representation?Vincent C. Müller - 2007 - Minds and Machines 17 (1):101-115.details
- Moving the Goal Posts: A Reply to Dawson and Piercey. [REVIEW]Istvan S. N. Berkeley - 2006 - Minds and Machines 16 (4):471-478.details
- How Do Connectionist Networks Compute?Gerard O'Brien & Jonathan Opie - 2006 - Cognitive Processing 7 (1):30-41.details
- Conceptual Spaces as a Framework for Knowledge Representation.Peter Gardenfors - 2004 - Mind and Matter 2 (2):9-27.details
- Refocusing the Question: Can There Be Skillful Coping Without Propositional Representations or Brain Representations? [REVIEW]Hubert L. Dreyfus - 2002 - Phenomenology and the Cognitive Sciences 1 (4):413-25.details
- Brave New Modeling: Cellular Automata and Artificial Neural Networks for Mastering Complexity in Economics.Janette Aschenwald, Stefan Fink & Gottfried Tappeiner - 2001 - Complexity 7 (1):39-47.details
- Understanding Neural Complexity: A Role for Reduction. [REVIEW]John Bickle - 2001 - Minds and Machines 11 (4):467-481.details
- The View From Here: The Nonsymbolic Structure of Spatial Representation.Patricia S. Churchland, Ilya B. Farber & Will Peterman - 2001 - In Joao Branquinho (ed.), The Foundations of Cognitive Science. Oxford: Clarendon Press.details
- What the #$*%! Is a Subsymbol?István S. N. Berkeley - 2000 - Minds and Machines 10 (1):1-13.details
- Extending the Classical View of Representation.Arthur B. Markman & Eric Dietrich - 2000 - Trends in Cognitive Sciences 4 (12):470-475.details
- The Other Hard Problem: How to Bridge the Gap Between Subsymbolic and Symbolic Cognition.Axel Cleeremans - 1998 - Behavioral and Brain Sciences 21 (1):22-23.details
- Quantification Without Variables in Connectionism.John A. Barnden & Kankanahalli Srinivas - 1996 - Minds and Machines 6 (2):173-201.details
- Superpositional Connectionism: A Reply to Marinov. [REVIEW]Andy Clark - 1993 - Minds and Machines 3 (3):271-81.details
- On the Spuriousness of the Symbolic/Subsymbolic Distinction.Marin S. Marinov - 1993 - Minds and Machines 3 (3):253-70.details
- Subsymbolic Computation and the Chinese Room.David J. Chalmers - 1992 - In J. Dinsmore (ed.), The Symbolic and Connectionist Paradigms: Closing the Gap. Lawrence Erlbaum. pp. 25--48.details
- The Symbolic and Connectionist Paradigms: Closing the Gap.John Dinsmore (ed.) - 1992 - Lawrence Erlbaum.details
- Symbolic Parsing Via Subsymbolic Rules.Stan C. Kwasny & Kanaan A. Faisal - 1992 - In J. Dinsmore (ed.), The Symbolic and Connectionist Paradigms: Closing the Gap. Lawrence Erlbaum. pp. 209--236.details
- Gibsonian Representations and Connectionist Symbol-Processing: Prospects for Unification.Gary Hatfield - 1990 - Psychological Research 52:243-52.details
- Treating Connectionism Properly: Reflections on Smolensky.Jay F. Rosenberg - 1990 - Psychological Research 52.details
- On the Proper Treatment of Connectionism.Paul Smolensky - 1988 - Behavioral and Brain Sciences 11 (1):1-23.details
- Connectionist, Symbolic, and the Brain.Paul Smolensky - 1987 - AI Review 1:95-109.details
- Artificial Intelligence: Subcognition as Computation.Douglas R. Hofstadter - 1983 - In Fritz Machlup (ed.), The Study of Information: Interdisciplinary Messages. Wiley.details
- The Study of Information: Interdisciplinary Messages.Fritz Machlup (ed.) - 1983 - Wiley.details
- A Subsymbolic Symbolic Model for Learning Sequential Navigation.Ron Sun Todd Peterson - unknowndetails
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