Learning and Reasoning

Beschreibung

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; Abductive and Inductive Reasoning.

Autor*in

Wang-Zhou Dai

Themen in »Learning and Reasoning«

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 Abductive and Inductive Reasoning

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