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Connectionism: past, present, and future
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What this work says
Outgoing claims: the papers this work cites, builds on, or argues with.
inferredcites →https://doi.org/10.1001/jama.1950.02910470083028openalex-snapshot
The Organization of Behavior: A Neuropsychological Theory
inferredcites →https://doi.org/10.1007/bf00319977openalex-snapshot
Synthesis of nonlinear control surfaces by a layered associative search network
inferredcites →https://doi.org/10.1007/bf00339943openalex-snapshot
“Neural” computation of decisions in optimization problems
inferredcites →https://doi.org/10.1007/bf02478259openalex-snapshot
A logical calculus of the ideas immanent in nervous activity
inferredcites →https://doi.org/10.1016/0004-3702(77)90024-8openalex-snapshot
The ubiquity of discovery
inferredcites →https://doi.org/10.1016/0004-3702(87)90033-6openalex-snapshot
Phase transitions in artificial intelligence systems
inferredcites →https://doi.org/10.1016/0010-0277(88)90031-5openalex-snapshot
Connectionism and cognitive architecture: A critical analysis
inferredcites →https://doi.org/10.1016/0022-2496(82)90036-0openalex-snapshot
Parallel models of associative memory
inferredcites →https://doi.org/10.1016/0024-6301(89)90186-6openalex-snapshot
Chaos: Making a new science
inferredcites →https://doi.org/10.1016/0893-6080(88)90023-8openalex-snapshot
Analysis of hidden units in a layered network trained to classify sonar targets
inferredcites →https://doi.org/10.1016/b978-0-08-051581-6.50053-2openalex-snapshot
A Learning Algorithm for Boltzmann Machines**The research reported here was supported by grants from the System Development Foundation. We thank Peter Brown, Francis Crick, Mark Derthick, Scott Fahlman, Jerry Feldman, Stuart Geman, Gail Gong, John Hopfield, Jay McClelland, Barak Pearlmutter, Harry…
inferredcites →https://doi.org/10.1016/s0166-4115(97)80111-2openalex-snapshot
Serial Order: A Parallel Distributed Processing Approach
inferredcites →https://doi.org/10.1016/s0364-0213(82)80001-3openalex-snapshot
Connectionist Models and Their Properties
inferredcites →https://doi.org/10.1017/s0140525x00052432openalex-snapshot
On the proper treatment of connectionism
inferredcites →https://doi.org/10.1037//0033-295x.84.5.413openalex-snapshot
Distinctive features, categorical perception, and probability learning: Some applications of a neural model.
inferredcites →https://doi.org/10.1037//0033-295x.88.5.375openalex-snapshot
An interactive activation model of context effects in letter perception: I. An account of basic findings.
inferredcites →https://doi.org/10.1037//0033-295x.89.1.60openalex-snapshot
An interactive activation model of context effects in letter perception: II. The contextual enhancement effect and some tests and extensions of the model.
inferredcites →https://doi.org/10.1037/11592-000openalex-snapshot
Design for a brain: The origin of adaptive behaviour (2nd ed. rev.).
inferredcites →https://doi.org/10.1038/scientificamerican1186-46openalex-snapshot
Studying the Earth by Very-Long-Baseline Interferometry
inferredcites →https://doi.org/10.1063/1.36271openalex-snapshot
Context-free parsing with connectionist networks
inferredcites →https://doi.org/10.1073/pnas.79.8.2554openalex-snapshot
Neural networks and physical systems with emergent collective computational abilities.
inferredcites →https://doi.org/10.1111/j.1551-6708.1987.tb00862.xopenalex-snapshot
Competitive Learning: From Interactive Activation to Adaptive Resonance
inferredcites →https://doi.org/10.1126/science.220.4598.671openalex-snapshot
Optimization by Simulated Annealing
inferredcites →https://doi.org/10.1126/science.238.4827.632openalex-snapshot
Chaos, Strange Attractors, and Fractal Basin Boundaries in Nonlinear Dynamics
inferredcites →https://doi.org/10.1184/r1/6587300openalex-snapshot
A connectionist approach to word sense disambiguation
inferredcites →https://doi.org/10.1207/s15516709cog0901_5openalex-snapshot
Feature Discovery by Competitive Learning*
inferredcites →https://doi.org/10.1207/s15516709cog0901_7openalex-snapshot
A Learning Algorithm for Boltzmann Machines*
inferredcites →https://doi.org/10.21236/ada164453openalex-snapshot
Learning Internal Representations by Error Propagation
inferredcites →https://doi.org/10.2307/1418888openalex-snapshot
The Organization of Behavior; A Neuropsychological Theory
inferredcites →https://doi.org/10.3115/991365.991407openalex-snapshot
A stochastic approach to parsing
inferredcites →https://doi.org/10.3115/991635.991673openalex-snapshot
Sequencing in a connectionist model of language processing
inferredcites →https://doi.org/10.7551/mitpress/3697.001.0001openalex-snapshot
In-Depth Understanding
inferredcites →https://doi.org/10.7551/mitpress/4934.003.0007openalex-snapshot
Competitive Learning: From Interactive Activation to Adaptive Resonance
inferredcites →https://doi.org/10.7551/mitpress/5236.001.0001openalex-snapshot
Parallel Distributed Processing
inferredcites →https://doi.org/10.7551/mitpress/5236.003.0008openalex-snapshot
On Learning the Past Tenses of English Verbs
What points at this work
Incoming claims: where this work appears in other papers’ reference lists and arguments.
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Neural Networks in Software Engineering
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Attaining landmark status: Rumelhart and McClelland's PDP Volumes and the Connectionist Paradigm
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Action, Connectionism and Enaction: A Developmental Perspective
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Use of Artificial Neural Networks to Enhance Container Port Safety Analysis Under Uncertainty
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Bioanaloge Ansätze für adaptive und autonome Systeme in der Informationstechnik
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Connectionism vs Gofai: A Brief Critical Analysis
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Creativity: a survey of AI approaches
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inferred← citeshttps://doi.org/10.1016/j.telpol.2025.102917openalex-snapshot
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Applying Learning by Examples for Digital Design Automation
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Modeling Chaotic Series by Simple Eco-Grammar Systems with Reproduction, Death and Maturation of Agents
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Knowledge Management in Forestry
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A neural network approach for the identification of the Box-Jenkins model
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Paradoxes of Non-Trivial Gene Networks: How Cancer-Causing Mutations Can Appear to Be Cancer-Protective
inferred← citeshttps://doi.org/10.1093/oso/9780192844835.001.0001openalex-snapshot
The Computational Evolution of Cognitive Architectures
inferred← citeshttps://doi.org/10.1093/oso/9780192844835.003.0001openalex-snapshot
What is this book about?
inferred← citeshttps://doi.org/10.1093/oso/9780192844835.003.0002openalex-snapshot
What Are Cognitive Architectures?
inferred← citeshttps://doi.org/10.1093/oso/9780192844835.003.0003openalex-snapshot
Cognitive Architectures, AI, and Cognitive Science
inferred← citeshttps://doi.org/10.1093/oso/9780192844835.003.0004openalex-snapshot
Taxonomies of Cognitive Architectures
inferred← citeshttps://doi.org/10.1093/oso/9780192844835.003.0005openalex-snapshot
Sensation and Perception
inferred← citeshttps://doi.org/10.1093/oso/9780192844835.003.0008openalex-snapshot
Reasoning and Decision-Making
inferred← citeshttps://doi.org/10.1093/oso/9780192844835.003.0009openalex-snapshot
Putting It All Together
inferred← citeshttps://doi.org/10.1093/oso/9780192844835.003.0010openalex-snapshot
Practical Applications of Cognitive Architectures
inferred← citeshttps://doi.org/10.1093/oso/9780192844835.003.0011openalex-snapshot
Evaluating Cognitive Architectures
inferred← citeshttps://doi.org/10.1093/oso/9780192844835.003.0012openalex-snapshot
Cognitive Architectures in the Deep Learning Era
inferred← citeshttps://doi.org/10.1093/oso/9780192844835.003.0013openalex-snapshot
Challenges of the Past and Opportunities Ahead
inferred← citeshttps://doi.org/10.1109/64.223991openalex-snapshot
Pattern recognition: neural networks in perspective
inferred← citeshttps://doi.org/10.1109/innovations.2013.6544391openalex-snapshot
A novel approach combining recurrent neural network and support vector machines for time series classification
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Multi-layer Perceptron Error Surfaces: Visualization, Structure and Modelling
inferred← citeshttps://doi.org/10.1520/jte20180501openalex-snapshot
Multilevel Hybrid Firefly-Based Bayesian Classifier for Intrusion Detection in Huge Imbalanced Data
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Whose Body Is the Algorithm For? Diagnostic Artificial Intelligence, Indigenous Health, and the Politics of Representational Validity
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A Novel Hybrid Learning Algorithm For Artificial Neural Networks
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ATHENA for Memory-Based Inference
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From manipulability to methodology and back : a critical look into experimental practices in the study of object representations
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Musical Bodies, Musical Minds
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Toward a Dynamical Systems Analysis of Neuromodulation
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