Learning and Reasoning - 4th International Joint Conference on Learning, IJCLR 2024, and 33rd International Conference on Inductive Logic Programming, ILP 2024, Nanjing, China, September 20-22, 2024, Proceedings

This book constitutes the refereed proceedings of the 4th International Joint Conference on Learning, IJCLR 2024, and 33rd International Conference on Inductive Logic Programming, ILP 2024, held in Nanjing, China during September 20 22, 2024.
The 13 full papers and 5 short papers presented in this book were carefully selected and reviewed from 25 submissions. These papers have been organized in the following topical sections:
Inductive Logic Programming (ILP); Neuro-Symbolic AI; Statistical Relational Learning; Cognitive AI; Probabilistic Logic Programming; Meta-Interpretive Learning; Predicate Invention; Program Synthesis; Knowledge Representation; Logical and Relational Learning; Explainable AI; Trustworthy AI; Large Language Models (LLMs); Formal Reasoning

Produktdetails

• Mitarbeit: Wang-Zhou Dai (Herausgeber)
• Verlag: Springer, Berlin
• Sprache: Englisch
• Produktform: Taschenbuch
• Erscheint: 23.11.2025
• EAN: 9783032090867
• ISBN: 978-3-0-3209086-7
• Seiten: 276
• Illustration: X, 276 p. 78 illus.
• Serien: Lecture Notes in Computer Science; Lecture Notes in Artificial Intelligence
• Themen: Naturwissenschaften, Medizin, Informatik, Technik > Informatik, EDV > Informatik; Computerhardware, Artificial Intelligence, Theoretische Informatik, Compiler und Übersetzer, Explainable AI, Computer Engineering and Networks, Computer Science Logic and Foundations of Programming, Formal Languages and Automata Theory, Compilers and Interpreters, Trustworthy AI, knowledge representation, Formal Reasoning, Large Language Models (LLMs), Program synthesis, Neuro-symbolic AI, Meta-Interpretive Learning, Predicate Invention, Probabilistic Logic Programming, Statistical Relational Learning, Cognitive AI, Inductive Logic Programming (ILP), Logical and Relational Learning, Abductive and Inductive Reasoning