The fields of generative and neuro-symbolic AI have recently gained significant traction in both academia and industry, owing to their profound impact on real-world applications and their potential to achieve human-level intelligence. While generative AI excels in producing human-like outputs across various tasks, neuro-symbolic AI aims to integrate cognitive and perceptive intelligence. Despite their apparent relevance to human-level AI, the relationship between these two paradigms remains largely unexplored. The GeNeSy 2024 workshop was conceived to address this gap, providing a platform for researchers to present and discuss novel ideas and approaches in the emerging field of generative neuro-symbolic AI.
(N. Jain) The GeNeSy workshop featured two distinguished keynote speakers, both renowned for their significant
CEUR
ceur-ws.org (Professor of Vrije University (VU) Amsterdam) delineated the crucial distinctions between neurosymbolic and neuro-semantic AI, emphasizing the pivotal role of semantic representations in endowing neural models with comprehensive symbolic reasoning abilities. These insightful presentations have been made available on the GeNeSy website for broader dissemination and continued discussion within the research community. 3. Program Committee • Vaishak Belle, The University of Edinburgh • Inès Blin, Sony Computer Science Laboratories Paris • Jindong Jiang, Rutgers University • Ligong Han, Rutgers University • Viktor Schlegel, The University of Manchester • Jan-Christoph Kalo, University of Amsterdam • Emile van Krieken, Vrije Universiteit Amsterdam • Nicolas Lazzari, University of Bologna • Alessandro Oltramari, Bosch Research and Technology Center • Chung-Chi Chen, National Institute of Advanced Industrial Science and Technology • Pascal Hitzler, Kansas State University • Hongbo Zhu, University of Manchester • Michael Fisher, University of Manchester • Ioannis Reklos, King’s College London