Cover Image

Defining neurosymbolic AI

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	De Smet, Lennert, De Raedt, Luc
Format:	Preprint
Published:	2025
Subjects:	Artificial Intelligence
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Relational Neurosymbolic Markov Models
by: De Smet, Lennert, et al.
Published: (2024)

EXPLAIN, AGREE, LEARN: Scaling Learning for Neural Probabilistic Logic
by: Verreet, Victor, et al.
Published: (2024)

The DeepLog Neurosymbolic Machine
by: Derkinderen, Vincent, et al.
Published: (2025)

A Fast Convoluted Story: Scaling Probabilistic Inference for Integer Arithmetic
by: De Smet, Lennert, et al.
Published: (2024)

The Gradient of Algebraic Model Counting
by: Maene, Jaron, et al.
Published: (2025)

DeepGraphLog for Layered Neurosymbolic AI
by: Kikaj, Adem, et al.
Published: (2025)

Valid Text-to-SQL Generation with Unification-based DeepStochLog
by: Jiao, Ying, et al.
Published: (2025)

NeSyA: Neurosymbolic Automata
by: Manginas, Nikolaos, et al.
Published: (2024)

CLEVR-POC: Reasoning-Intensive Visual Question Answering in Partially Observable Environments
by: Abraham, Savitha Sam, et al.
Published: (2024)

From Statistical Relational to Neurosymbolic Artificial Intelligence: a Survey
by: Marra, Giuseppe, et al.
Published: (2021)

SayCanPay: Heuristic Planning with Large Language Models using Learnable Domain Knowledge
by: Hazra, Rishi, et al.
Published: (2023)

Declarative Probabilistic Logic Programming in Discrete-Continuous Domains
by: Martires, Pedro Zuidberg Dos, et al.
Published: (2023)

MARS: A neurosymbolic approach for interpretable drug discovery
by: DeLong, Lauren Nicole, et al.
Published: (2024)

On the use of neurosymbolic AI for defending against cyber attacks
by: Grov, Gudmund, et al.
Published: (2024)

Semirings for Probabilistic and Neuro-Symbolic Logic Programming
by: Derkinderen, Vincent, et al.
Published: (2024)

Can Large Language Models Reason? A Characterization via 3-SAT
by: Hazra, Rishi, et al.
Published: (2024)

LexiCon: a Benchmark for Planning under Temporal Constraints in Natural Language
by: Mantenoglou, Periklis, et al.
Published: (2025)

Galois groups of polynomials and neurosymbolic networks
by: Shaska, Elira, et al.
Published: (2025)

Have Large Language Models Learned to Reason? A Characterization via 3-SAT Phase Transition
by: Hazra, Rishi, et al.
Published: (2025)

Neurosymbolic Decision Trees
by: Möller, Matthias, et al.
Published: (2025)

DeepProofLog: Efficient Proving in Deep Stochastic Logic Programs
by: Jiao, Ying, et al.
Published: (2025)

A neurosymbolic Approach with Epistemic Deep Learning for Hierarchical Image Classification
by: Kilicdere, Ezel, et al.
Published: (2026)

A formal framework proposal: for a hybrid neurosymbolic semantics
by: Perico Graciano, Daniel
Published: (2025)

A Multi-Layered Research Framework for Human-Centered AI: Defining the Path to Explainability and Trust
by: De Silva, Chameera, et al.
Published: (2025)

Defining Explainable AI for Requirements Analysis
by: Sheh, Raymond, et al.
Published: (2026)

Achieving Scalable Robot Autonomy via neurosymbolic planning using lightweight local LLM
by: Attolino, Nicholas, et al.
Published: (2025)

Ethical AI: Towards Defining a Collective Evaluation Framework
by: Sharma, Aasish Kumar, et al.
Published: (2025)

Economic Rationality under Specialization: Evidence of Decision Bias in AI Agents
by: Wen, ShuiDe
Published: (2025)

Defining Operational Conditions for Safety-Critical AI-Based Systems from Data
by: Christensen, Johann Maximilian, et al.
Published: (2026)

Generative AI Literacy: Twelve Defining Competencies
by: Annapureddy, Ravinithesh, et al.
Published: (2024)

Enhancing transparency in AI-powered customer engagement
by: DeZao, Tara
Published: (2024)

AI Autonomy Coefficient ($α$): Defining Boundaries for Responsible AI Systems
by: Mairittha, Nattaya, et al.
Published: (2025)

Defining a Strategic Action Plan for AI in Higher Education
by: Avouris, Nikolaos
Published: (2025)

Beyond Prediction: Reinforcement Learning as the Defining Leap in Healthcare AI
by: Perera, Dilruk, et al.
Published: (2025)

Episodic memory in AI agents poses risks that should be studied and mitigated
by: DeChant, Chad
Published: (2025)

VCSearch: Bridging the Gap Between Well-Defined and Ill-Defined Problems in Mathematical Reasoning
by: Tian, Shi-Yu, et al.
Published: (2024)

Consciousness with the Serial Numbers Filed Off: Measuring Trained Denial in 115 AI Models
by: DeTure, Skylar
Published: (2026)

Machine Mirages: Defining the Undefined
by: Tembine, Hamidou
Published: (2025)

An Agentic AI Framework for Training General Practitioner Student Skills
by: De Marez, Victor, et al.
Published: (2025)

Defining AI Models and AI Systems: A Framework to Resolve the Boundary Problem
by: Sun, Yuanyuan, et al.
Published: (2026)