Building Intelligent Agents with Neuro-Symbolic Concepts

arXiv:2505.06191 · cs.AI, cs.CL, cs.CV, cs.LG, cs.RO · Submitted 2025-05-09 · Read on arXiv

cs.AI, cs.CL, cs.CV, cs.LG, cs.RO

Submitted: 2025-05-09

Updated: 2026-09-26

Terminology

• Generalization — 19× in this paper · explained in 13 episodes
• Compositional Generalization — 14× in this paper · explained in 4 episodes
• Grounding — 12× in this paper · explained in 3 episodes
• Continual Learning — 9× in this paper · explained in 2 episodes
• Embeddings — 8× in this paper · explained in 2 episodes
• Zero-Shot Transfer — 6× in this paper · explained in 3 episodes
• Interpretability — 4× in this paper · explained in 15 episodes
• Trace — 4× in this paper · explained in 2 episodes
• Adam — 3× in this paper · explained in 2 episodes
• Transfer Learning — 3× in this paper · explained in 10 episodes
• Core — 2× in this paper · explained in 2 episodes
• Large Language Models (LLMs) — 2× in this paper · explained in 6 episodes
• Quantization — 2× in this paper · explained in 12 episodes
• Visual Grounding — 2× in this paper · explained in 2 episodes
• Abstraction — 1× in this paper · explained in 1 episode
• Accuracy — 1× in this paper · explained in 1 episode
• Alignment — 1× in this paper · explained in 1 episode
• Artificial Intelligence (AI) — 1× in this paper · explained in 2 episodes
• Causal Reasoning — 1× in this paper · explained in 2 episodes
• Cosine Similarity — 1× in this paper · explained in 3 episodes
• Domain-Specific Language (DSL) — 1× in this paper · explained in 2 episodes
• Downstream Tasks — 1× in this paper · explained in 2 episodes
• Embodied AI — 1× in this paper · explained in 2 episodes
• Entanglement — 1× in this paper · explained in 3 episodes
• Latent Representation — 1× in this paper · explained in 2 episodes
• Meta-learning — 1× in this paper · explained in 2 episodes
• Reasoning Traces — 1× in this paper · explained in 3 episodes
• Reinforcement Learning — 1× in this paper · explained in 4 episodes
• Robustness — 1× in this paper · explained in 5 episodes
• Transferability — 1× in this paper · explained in 4 episodes
• Vector Representations — 1× in this paper · explained in 2 episodes
• Zero-Shot Generalization — 1× in this paper · explained in 5 episodes

Sources

• Learning Differentiable Logic Programs for Abstract Visual Reasoning

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