Fodor and Pylyshyn's Legacy: Still No Human-like Systematic Compositionality in Neural Networks
Fuente:
arXiv
Saved in:
| Main Authors: | Woydt, Tim, Willig, Moritz, Wüst, Antonia, Helff, Lukas, Stammer, Wolfgang, Rothkopf, Constantin A., Kersting, Kristian |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Bongard in Wonderland: Visual Puzzles that Still Make AI Go Mad?
by: Wüst, Antonia, et al.
Published: (2024)
by: Wüst, Antonia, et al.
Published: (2024)
Synthesizing Visual Concepts as Vision-Language Programs
by: Wüst, Antonia, et al.
Published: (2025)
by: Wüst, Antonia, et al.
Published: (2025)
SLR: Automated Synthesis for Scalable Logical Reasoning
by: Helff, Lukas, et al.
Published: (2025)
by: Helff, Lukas, et al.
Published: (2025)
Neural Concept Binder
by: Stammer, Wolfgang, et al.
Published: (2024)
by: Stammer, Wolfgang, et al.
Published: (2024)
Object Centric Concept Bottlenecks
by: Steinmann, David, et al.
Published: (2025)
by: Steinmann, David, et al.
Published: (2025)
ActivationReasoning: Logical Reasoning in Latent Activation Spaces
by: Helff, Lukas, et al.
Published: (2025)
by: Helff, Lukas, et al.
Published: (2025)
Pix2Code: Learning to Compose Neural Visual Concepts as Programs
by: Wüst, Antonia, et al.
Published: (2024)
by: Wüst, Antonia, et al.
Published: (2024)
V-LoL: A Diagnostic Dataset for Visual Logical Learning
by: Helff, Lukas, et al.
Published: (2023)
by: Helff, Lukas, et al.
Published: (2023)
LLMs Gaming Verifiers: RLVR can Lead to Reward Hacking
by: Helff, Lukas, et al.
Published: (2026)
by: Helff, Lukas, et al.
Published: (2026)
Learning to Intervene on Concept Bottlenecks
by: Steinmann, David, et al.
Published: (2023)
by: Steinmann, David, et al.
Published: (2023)
SocialGrid: A Benchmark for Planning and Social Reasoning in Embodied Multi-Agent Systems
by: Shindo, Hikaru, et al.
Published: (2026)
by: Shindo, Hikaru, et al.
Published: (2026)
LlavaGuard: An Open VLM-based Framework for Safeguarding Vision Datasets and Models
by: Helff, Lukas, et al.
Published: (2024)
by: Helff, Lukas, et al.
Published: (2024)
A Typology for Exploring the Mitigation of Shortcut Behavior
by: Friedrich, Felix, et al.
Published: (2022)
by: Friedrich, Felix, et al.
Published: (2022)
$χ$SPN: Characteristic Interventional Sum-Product Networks for Causal Inference in Hybrid Domains
by: Poonia, Harsh, et al.
Published: (2024)
by: Poonia, Harsh, et al.
Published: (2024)
Navigating Shortcuts, Spurious Correlations, and Confounders: From Origins via Detection to Mitigation
by: Steinmann, David, et al.
Published: (2024)
by: Steinmann, David, et al.
Published: (2024)
Neural Concept Verifier: Scaling Prover-Verifier Games via Concept Encodings
by: Turan, Berkant, et al.
Published: (2025)
by: Turan, Berkant, et al.
Published: (2025)
Tagged for Direction: Pinning Down Causal Edge Directions with Precision
by: Busch, Florian Peter, et al.
Published: (2025)
by: Busch, Florian Peter, et al.
Published: (2025)
Systems with Switching Causal Relations: A Meta-Causal Perspective
by: Willig, Moritz, et al.
Published: (2024)
by: Willig, Moritz, et al.
Published: (2024)
Deep Reinforcement Learning Agents are not even close to Human Intelligence
by: Delfosse, Quentin, et al.
Published: (2025)
by: Delfosse, Quentin, et al.
Published: (2025)
Learning by Self-Explaining
by: Stammer, Wolfgang, et al.
Published: (2023)
by: Stammer, Wolfgang, et al.
Published: (2023)
Certified Policy Optimisation for Nested Causal Bandits via PAC-Bayes Risk
by: Woydt, Tim, et al.
Published: (2026)
by: Woydt, Tim, et al.
Published: (2026)
Human-in-the-loop or AI-in-the-loop? Automate or Collaborate?
by: Natarajan, Sriraam, et al.
Published: (2024)
by: Natarajan, Sriraam, et al.
Published: (2024)
No Safe Dose: How Training Data Drives Unsafe Image Generation
by: Friedrich, Felix, et al.
Published: (2026)
by: Friedrich, Felix, et al.
Published: (2026)
CausalMan: A physics-based simulator for large-scale causality
by: Tagliapietra, Nicholas, et al.
Published: (2025)
by: Tagliapietra, Nicholas, et al.
Published: (2025)
Paco Calvo y John Symons (editores), The Architecture of Cognition. Rethinking Fodor and Pylyshyn’s Systematicity Challenge, Cambridge, The mIT Press, 2014, 481 pp.
by: Sergio Daniel Barberis
Published: (2014)
by: Sergio Daniel Barberis
Published: (2014)
Right on Time: Revising Time Series Models by Constraining their Explanations
by: Kraus, Maurice, et al.
Published: (2024)
by: Kraus, Maurice, et al.
Published: (2024)
Learning Particle Dynamics Subject to Rigid Body Manipulations Using Graph Neural Networks
by: Midlagajni, Niteesh, et al.
Published: (2025)
by: Midlagajni, Niteesh, et al.
Published: (2025)
Making deep neural networks right for the right scientific reasons by interacting with their explanations
by: Schramowski, Patrick, et al.
Published: (2020)
by: Schramowski, Patrick, et al.
Published: (2020)
Interpretable Concept Bottlenecks to Align Reinforcement Learning Agents
by: Delfosse, Quentin, et al.
Published: (2024)
by: Delfosse, Quentin, et al.
Published: (2024)
Boosting Object Representation Learning via Motion and Object Continuity
by: Delfosse, Quentin, et al.
Published: (2022)
by: Delfosse, Quentin, et al.
Published: (2022)
Exploring the Adversarial Capabilities of Large Language Models
by: Struppek, Lukas, et al.
Published: (2024)
by: Struppek, Lukas, et al.
Published: (2024)
OCALM: Object-Centric Assessment with Language Models
by: Kaufmann, Timo, et al.
Published: (2024)
by: Kaufmann, Timo, et al.
Published: (2024)
BlendRL: A Framework for Merging Symbolic and Neural Policy Learning
by: Shindo, Hikaru, et al.
Published: (2024)
by: Shindo, Hikaru, et al.
Published: (2024)
Learning from Less: Guiding Deep Reinforcement Learning with Differentiable Symbolic Planning
by: Ye, Zihan, et al.
Published: (2025)
by: Ye, Zihan, et al.
Published: (2025)
Interpretable end-to-end Neurosymbolic Reinforcement Learning agents
by: Grandien, Nils, et al.
Published: (2024)
by: Grandien, Nils, et al.
Published: (2024)
Recursive Inference Machines for Neural Reasoning
by: Komisarczyk, Mieszko, et al.
Published: (2026)
by: Komisarczyk, Mieszko, et al.
Published: (2026)
Finding NeMo: Localizing Neurons Responsible For Memorization in Diffusion Models
by: Hintersdorf, Dominik, et al.
Published: (2024)
by: Hintersdorf, Dominik, et al.
Published: (2024)
Focused Chain-of-Thought: Efficient LLM Reasoning via Structured Input Information
by: Struppek, Lukas, et al.
Published: (2025)
by: Struppek, Lukas, et al.
Published: (2025)
Graph Neural Networks Need Cluster-Normalize-Activate Modules
by: Skryagin, Arseny, et al.
Published: (2024)
by: Skryagin, Arseny, et al.
Published: (2024)
Deep Classifier Mimicry without Data Access
by: Braun, Steven, et al.
Published: (2023)
by: Braun, Steven, et al.
Published: (2023)
Similar Items
-
Bongard in Wonderland: Visual Puzzles that Still Make AI Go Mad?
by: Wüst, Antonia, et al.
Published: (2024) -
Synthesizing Visual Concepts as Vision-Language Programs
by: Wüst, Antonia, et al.
Published: (2025) -
SLR: Automated Synthesis for Scalable Logical Reasoning
by: Helff, Lukas, et al.
Published: (2025) -
Neural Concept Binder
by: Stammer, Wolfgang, et al.
Published: (2024) -
Object Centric Concept Bottlenecks
by: Steinmann, David, et al.
Published: (2025)