Fetching the paper…
Reading the bibliography…
A central challenge for cognitive science is to explain how abstract concepts are acquired from limited experience.
“Language models are few-shot learners”
Tom Brown et al · 1901
Earlier work this paper cites.
“Compositional generalization in a deep seq2seq model by separating syntax and semantics”
Jake Russin, Jason Jo, Randall O’Reilly and Yoshua Bengio · 1904
Earlier work this paper cites.
“Learning neural causal models from unknown interventions”
Nan Ke et al · 1910
Earlier work this paper cites.
“The information of elementary auditory displays”
Irwin Pollack · 1952
Earlier work this paper cites.
“The magical number seven, plus or minus two: Some limits on our capacity for processing information.”
George Miller · 1956
Earlier work this paper cites.
“Reasoning about a rule”
Peter Wason · 1968
Earlier work this paper cites.
“Abilities: Their structure, growth, and action”
Raymond Cattell · 1971
Earlier work this paper cites.
“Human problem solving”
Allen Newell and Herbert Simon · 1972
Earlier work this paper cites.
“Reasoning and a sense of reality”
Philip Johnson-Laird, Paolo Legrenzi and Maria Legrenzi · 1972
Earlier work this paper cites.
“The language of thought”
Jerry Fodor · 1975
Earlier work this paper cites.
“Context theory of classification learning.”
Douglas Medin and Marguerite Schaffer · 1978
Earlier work this paper cites.
“A review of BF Skinner’s Verbal Behavior”
Noam Chomsky · 1980
Earlier work this paper cites.
“A feature-integration theory of attention”
Anne Treisman and Garry Gelade · 1980
Earlier work this paper cites.
“Neural networks and physical systems with emergent collective computational abilities.”
John Hopfield · 1982
Earlier work this paper cites.
“Subitizing: an analysis of its component processes.”
George Mandler and Billie Shebo · 1982
Earlier work this paper cites.
“Structure-mapping: A theoretical framework for analogy”
Dedre Gentner · 1983
Earlier work this paper cites.
“Object vision and spatial vision: two cortical pathways”
Mortimer Mishkin, Leslie Ungerleider and Kathleen Macko · 1983
Earlier work this paper cites.
“The topography of ability and learning correlations”
Richard Snow, Patrick Kyllonen and Brachia Marshalek · 1984
Earlier work this paper cites.
“Rules for the Direction of our Native Intelligence”
Rene Descartes · 1988
Earlier work this paper cites.
“Connectionism and cognitive architecture: A critical analysis”
Jerry Fodor and Zenon Pylyshyn · 1988
Earlier work this paper cites.
“Explorations in parallel distributed processing: A handbook of models, programs, and exercises”
James McClelland and David Rumelhart · 1989
Earlier work this paper cites.
“The structure-mapping engine: Algorithm and examples”
Brian Falkenhainer, Kenneth Forbus and Dedre Gentner · 1989
Earlier work this paper cites.
“Finding structure in time”
Jeffrey Elman · 1990
Earlier work this paper cites.
“Tensor product variable binding and the representation of symbolic structures in connectionist systems”
Paul Smolensky · 1990
Earlier work this paper cites.
“BoltzCONS: Dynamic symbol structures in a connectionist network”
David Touretzky · 1990
Earlier work this paper cites.
“On the control of automatic processes: a parallel distributed processing account of the Stroop effect.”
Jonathan Cohen, Kevin Dunbar and James McClelland · 1990
Earlier work this paper cites.
“Children’s acquisition of the number words and the counting system”
Karen Wynn · 1992
Earlier work this paper cites.
“Separate visual pathways for perception and action”
Melvyn Goodale and A Milner · 1992
Earlier work this paper cites.
“Origins of knowledge.”
Elizabeth Spelke, Karen Breinlinger, Janet Macomber and Kristen Jacobson · 1992
Earlier work this paper cites.
“Holographic reduced representations”
Tony Plate · 1995
Earlier work this paper cites.
“Why there are complementary learning systems in the hippocampus and neocortex: insights from the successes and failures of connectionist models of learning and memory.”
James McClelland, Bruce McNaughton and Randall O’Reilly · 1995
Earlier work this paper cites.
“New Essays on Human Understanding.”
Gottfried Leibniz · 1996
Earlier work this paper cites.
“ACT: A simple theory of complex cognition.”
John Anderson · 1996
Earlier work this paper cites.
“Comparison and categorization in the development of relational similarity”
Laura Kotovsky and Dedre Gentner · 1996
Earlier work this paper cites.
“Distributed representations of structure: A theory of analogical access and mapping.”
John Hummel and Keith Holyoak · 1997
Earlier work this paper cites.
“Long short-term memory”
Sepp Hochreiter and Jürgen Schmidhuber · 1997
Earlier work this paper cites.
“The vanishing gradient problem during learning recurrent neural nets and problem solutions”
Sepp Hochreiter · 1998
Earlier work this paper cites.
“Adding apples and oranges: Alignment of semantic and formal knowledge”
Miriam Bassok, Valerie Chase and Shirley Martin · 1998
Earlier work this paper cites.
“A system for relational reasoning in human prefrontal cortex”
James Waltz et al · 1999
Earlier work this paper cites.
“The information bottleneck method”
Naftali Tishby, Fernando Pereira and William Bialek · 2000
Earlier work this paper cites.
“The algebraic mind: Integrating connectionism and cognitive science”
Gary Marcus · 2001
Earlier work this paper cites.
“Cognitive foundations of arithmetic: Evolution and ontogenisis”
Susan Carey · 2001
Earlier work this paper cites.
“An integrative theory of prefrontal cortex function”
Earl Miller and Jonathan Cohen · 2001
Earlier work this paper cites.
“Rostrolateral prefrontal cortex involvement in relational integration during reasoning”
Kalina Christoff et al · 2001
Earlier work this paper cites.
“Episodic memory: From mind to brain”
Endel Tulving · 2002
Cited alongside, same era.
“The parallel distributed processing approach to semantic cognition”
James McClelland and Timothy Rogers · 2003
Cited alongside, same era.
“Constructions: A new theoretical approach to language”
Adele Goldberg · 2003
Cited alongside, same era.
“Cerebellar damage produces selective deficits in verbal working memory”
Susan Ravizza et al · 2006
Cited alongside, same era.
“Core knowledge”
Elizabeth Spelke and Katherine Kinzler · 2007
Cited alongside, same era.
“Darwin’s mistake: Explaining the discontinuity between human and nonhuman minds”
Derek Penn, Keith Holyoak and Daniel Povinelli · 2008
Cited alongside, same era.
“Attention in psychology, neuroscience, and machine learning”
Grace Lindsay · 2020
Later among the works it cites.
“Dreamcoder: Bootstrapping inductive program synthesis with wake-sleep library learning”
Kevin Ellis et al · 2021
Later among the works it cites.
“The computational origin of representation”
Steven Piantadosi · 2021
Later among the works it cites.
“Neural production systems”
Anirudh Goyal et al · 2021
Later among the works it cites.
“Discrete-valued neural communication”
Dianbo Liu et al · 2021
Later among the works it cites.
Yichen Jiang et al · 2021
Later among the works it cites.
alphaXiv searches the wider corpus for related work and actual follow-ups.
alphaXiv is searching for related work…
“How counting represents number: What children must learn and when they learn it”
Barbara Sarnecka and Susan Carey · 2008
Cited alongside, same era.
“Hyperdimensional computing: An introduction to computing in distributed representation with high-dimensional random vectors”
Pentti Kanerva · 2009
Cited alongside, same era.
“Letting structure emerge: connectionist and dynamical systems approaches to cognition”
James McClelland et al · 2010
Cited alongside, same era.
“Analogy and Relational Reasoning”
Keith Holyoak · 2012
Cited alongside, same era.
“A large-scale model of the functioning brain”
Chris Eliasmith et al · 2012
Cited alongside, same era.
“Symbolic representation of probabilistic worlds”
Jacob Feldman · 2012
Cited alongside, same era.
“Emergent Symbols through Binding in External Memory”
Taylor Webb, Ishan Sinha and Jonathan. Cohen · 2021
Later among the works it cites.
“Modelling the development of counting with memory-augmented neural networks”
Zack Dulberg, Taylor Webb and Jonathan Cohen · 2021
Later among the works it cites.
“Learning to perform role-filler binding with schematic knowledge”
Catherine Chen et al · 2021
Later among the works it cites.
“Visual analogy: Deep learning versus compositional models”
N Ichien et al · 2021
Later among the works it cites.
“No coincidence, George: Capacity-limits as the Curse of Compositionality”
Steven Frankland, Taylor Webb and Jonathan Cohen · 2021
Later among the works it cites.
“Rationalizing constraints on the capacity for cognitive control”
Sebastian Musslick and Jonathan Cohen · 2021
Later among the works it cites.
“Deep predictive learning in neocortex and pulvinar”
Randall O’Reilly, Jacob Russin, Maryam Zolfaghar and John Rohrlich · 2021
Later among the works it cites.
“The functional specialization of visual cortex emerges from training parallel pathways with self-supervised predictive learning”
Shahab Bakhtiari et al · 2021
Later among the works it cites.
“Is activity silent working memory simply episodic memory?”
Andre Beukers, Timothy Buschman, Jonathan Cohen and Kenneth Norman · 2021
Later among the works it cites.
“Geometric deep learning: Grids, groups, graphs, geodesics, and gauges”
Michael Bronstein, Joan Bruna, Taco Cohen and Petar Veličković · 2021
Later among the works it cites.
“Symbols and mental programs: a hypothesis about human singularity”
Stanislas Dehaene et al · 2022
Later among the works it cites.
“One model for the learning of language”
Yuan Yang and Steven Piantadosi · 2022
Later among the works it cites.
“The best game in town: The re-emergence of the language of thought hypothesis across the cognitive sciences”
Jake Quilty-Dunn, Nicolas Porot and Eric Mandelbaum · 2022
Later among the works it cites.
“Emergent Abilities of Large Language Models” Survey Certification
Jason Wei et al · 2022
Later among the works it cites.
“A comparison of vector symbolic architectures”
Kenny Schlegel, Peer Neubert and Peter Protzel · 2022
Later among the works it cites.
“On neural architecture inductive biases for relational tasks”
Giancarlo Kerg et al · 2022
Later among the works it cites.
“Probabilistic analogical mapping with semantic relation networks.”
Hongjing Lu, Nicholas Ichien and Keith Holyoak · 2022
Later among the works it cites.
“The structure of systematicity in the brain”
Randall O’Reilly, Charan Ranganath and Jacob Russin · 2022
Later among the works it cites.
“Continuous manipulation of mental representations is compromised in cerebellar degeneration”
Samuel McDougle et al · 2022
Later among the works it cites.
“Intuitive physics learning in a deep-learning model inspired by developmental psychology”
Luis Piloto, Ari Weinstein, Peter Battaglia and Matthew Botvinick · 2022
Later among the works it cites.
“GAMR: A guided attention model for (visual) reasoning”
Mohit Vaishnav and Thomas Serre · 2022
Later among the works it cites.
“Capturing advanced human cognitive abilities with deep neural networks”
James McClelland · 2022
Later among the works it cites.
“Modern language models refute Chomsky’s approach to language”
Steven Piantadosi · 2023
Closest in time.
“Sparks of artificial general intelligence: Early experiments with gpt-4”
Sébastien Bubeck et al · 2023
Closest in time.
“Emergent analogical reasoning in large language models”
Taylor Webb, Keith Holyoak and Hongjing Lu · 2023
Closest in time.
“Bridging the data gap between children and large language models”
Michael Frank · 2023
Closest in time.
“Zero-shot visual reasoning through probabilistic analogical mapping”
Taylor Webb et al · 2023
Closest in time.
Awni Altabaa and John Lafferty · 2023
Closest in time.
“Organizing memories for generalization in complementary learning systems”
Weinan Sun et al · 2023
Closest in time.
“When working memory may be just working, not memory.”
Andre Beukers, Maia Hamin, Kenneth Norman and Jonathan Cohen · 2023
Closest in time.
“Graph lesion-deficit mapping of fluid intelligence”
Lisa Cipolotti et al · 2023
Closest in time.
“Learning to reason over visual objects”
Shanka Mondal, Taylor Webb and Jonathan Cohen · 2023
Closest in time.
“Systematic Visual Reasoning through Object-Centric Relational Abstraction”
Taylor Webb, Shanka Mondal and Jonathan Cohen · 2023
Closest in time.
“An Integrated Model of Semantics and Control”
Tyler Giallanza, Declan Campbell, Jonathan Cohen and Timothy Rogers · 2023
Closest in time.
“Approximation of relation functions and attention mechanisms”
Awni Altabaa and John Lafferty · 2024
Closest in time.
“Abstractors and relational cross-attention: An inductive bias for explicit relational reasoning in Transformers”
Awni Altabaa, Taylor Webb, Jonathan Cohen and John Lafferty · 2024
Closest in time.
“Maximum Entropy, Symmetry, and Relational Bottleneck: Unraveling the Impact of Inductive Biases on Systematic Reasoning.”, 2024
Simon Segert · 2024
Closest in time.