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Neurosymbolic Artificial Intelligence is an open access and transparently peer-reviewed research journal covering a wide range of topics related to neurosymbolic AI. In the field of artificial intelligence (AI), recent advances in deep learning and big data have resulted in artificial neural networks attaining industrial relevance in a wide range of applications. Neural networks are now the state-of-the-art in language modeling, speech and image classification, sensor data and graph analytics, time series forecasting, and many more tasks requiring the processing of unstructured large data. View full journal description

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Articles most recently published online for this journal.
Open Access
Research article
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Leveraging Neurosymbolic AI for Slice Discovery

  • Michele Collevati
  • Thomas Eiter
  • Nelson Higuera
Open Access
Research article
First published  

Towards End-to-End ASP Computation

  • Taisuke Sato
  • Akihiro Takemura
  • Katsumi Inoue
Open Access
Research article
First published  

Solving Abstract Reasoning Problems With Neurosymbolic Program Synthesis and Task Generation

  • Jakub Bednarek
  • Krzysztof Krawiec
Open Access
Research article
First published  

Towards Learning to Reason: Comparing LLMs With Neuro-Symbolic on Arithmetic Relations in Abstract Reasoning

  • Michael Hersche
  • Giacomo Camposampiero
  • Roger Wattenhofer
  • Abu Sebastian
  • Abbas Rahimi
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Most read articles in this journal in the last 6 months.
Open Access
Research article
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Cognitive LLMs: Toward Human-Like Artificial Intelligence by Integrating Cognitive Architectures and Large Language Models for Manufacturing Decision-Making

  • Siyu Wu
  • Alessandro Oltramari
  • Jonathan Francis
  • C Lee Giles
  • Frank E Ritter
Open Access
Research article
First published  

A survey of neurosymbolic visual reasoning with scene graphs and common sense knowledge

  • M Jaleed Khan
  • Filip Ilievski
  • John G Breslin
  • Edward Curry
Open Access
Research article
First published  

Design Patterns for Large Language Model Based Neuro-Symbolic Systems

  • Maaike de Boer
  • Quirine Smit
  • Michael van Bekkum
  • André Meyer-Vitali
  • Thomas Schmid
Open Access
Research article
First published  

On the Relevance of Logic for Artificial Intelligence, and the Promise of Neurosymbolic Learning

  • Vaishak Belle
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Most cited articles published in this journal in the last 3 years. These statistics are updated weekly using data sourced exclusively from CrossRef.
Open Access
Research article
First published  

On the multiple roles of ontologies in explanations for neuro-symbolic AI

  • Roberto Confalonieri
  • Giancarlo Guizzardi
Open Access
Research article
First published  

Cognitive LLMs: Toward Human-Like Artificial Intelligence by Integrating Cognitive Architectures and Large Language Models for Manufacturing Decision-Making

  • Siyu Wu
  • Alessandro Oltramari
  • Jonathan Francis
  • C Lee Giles
  • Frank E Ritter
Open Access
Research article
First published  

A survey of neurosymbolic visual reasoning with scene graphs and common sense knowledge

  • M Jaleed Khan
  • Filip Ilievski
  • John G Breslin
  • Edward Curry
Open Access
Research article
First published  

Dual-process theories, cognitive architectures, and hybrid neural-symbolic models

  • Ron Sun
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Articles with the highest Altmetric score from the last 3 months, indicating influence and impact.
Special Collection: Revised papers from the 18th International Conference on Neural-Symbolic Learning and Reasoning (NeSy2024)
Special Collection: Vision Papers by Editorial Board Members
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