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Keynote Lectures

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Sarit Kraus, Bar-Ilan University, Israel, Israel

Loosely Coupled Architectures for Neuro-symbolic Systems: Combining Learning and Reasoning
Frank van Harmelen, Vrije Universiteit Amsterdam, Netherlands, Netherlands

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Luc Steels, Barcelona Supercomputing Center, Spain, Spain

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Sarit Kraus
Bar-Ilan University, Israel
https://www.cs.biu.ac.il/~sarit

Brief Bio
Sarit Kraus is a Professor of Computer Science at Bar-Ilan University. Her research focuses on intelligent agents and multi-agent systems that integrate machine learning (including LLMs) with optimization, logic, and game theory. She develops agents capable of interacting effectively with people and robots. She has received many honors, including the IJCAI Computers and Thought and Research Excellence Awards, ACM SIGART and Athena Lecturer Awards, the EMET Prize, and two IFAAMAS Influential Paper Awards. A Fellow of ACM, AAAI, and EurAI, she also received an ERC Advanced Grant and a commendation from LA for the ARMOR system. Kraus has published over 400 papers, co-authored five books, chaired IJCAI-2019, will chair IJCAI-2027, and is a member of the Israel Academy of Sciences.

Abstract
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Loosely Coupled Architectures for Neuro-symbolic Systems: Combining Learning and Reasoning

Frank van Harmelen
Vrije Universiteit Amsterdam, Netherlands

Brief Bio
Frank van Harmelen has a PhD in Artificial Intelligence from Edinburgh University, and has been professor of AI at the Vrije Universiteit since 2001, where he leads the research group on Knowledge Representation. He was one of the designers of the knowledge representation language OWL, which is now in use by companies such as Google, the BBC, New York Times, Amazon, Uber, Airbnb, Elsevier, Springer Nature, XMP, and Renault among others. He co-edited the standard reference work in his field (The Handbook of Knowledge Representation), and received the Semantic Web 10-year impact award ifor his work on the open source software Sesame (over 200.000 downloads). He is a Fellow of the European Association for Artificial Intelligence, member of the the Dutch Royal Academy of Sciences (KNAW), of The Royal Holland Society of Sciences and Humanities (KHWM) and of the Academia Europaea, and is adjunct professor at Wuhan University and Wuhan University of Science and Technology in China.

Abstract
It is becoming increasingly clear that a proper understanding of computational forms of intelligence will not come from either purely data-driven learning systems, or from purely knowledge-based reasoning systems. The former are overly data hungry, not transparent, they generalize poorly and are not designed for online learning; while the latter are difficult to scale and not robust to noise. Neuro-symbolic AI is promising to combine the best of these two worlds, and research into this approach is booming. I will discuss how to build neuro-symbolic systems out of loosely coupled components that are configured in repeatable design patterns.

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Luc Steels
Barcelona Supercomputing Center, Spain

Brief Bio
Luc Steels has been an ICREA research fellow at the Institute for Evolutionary Biology (UPF-CSIC) in Barcelona. He studied computer science at MIT (US) and became a a professor of Artificial Intelligence (AI) at the University of Brussels (VUB) in 1983. He founded the VUB AI Lab. In 1996 Steels founded the Sony Computer Science Laboratory in Paris. Steels is currently associated with the Barcelona Supercomputing Center and the Venice international University where he pursues his interests in bringing Meaning and Understanding into AI, Value-Aware AI, and more fairness for musicians in digital music distribution and generation.

Abstract
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