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Learning and Reasoning : 4th International Joint Conference on Learning and Reasoning, IJCLR 2024, and 33rd International Conference on Inductive Logic Programming, ILP 2024, Nanjing, China, September 20–22, 2024, Proceedings / edited by Wang-Zhou Dai.

Springer Nature - Springer Computer Science eBooks 2026 English International Available online

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Format:
Book
Author/Creator:
Dai, Wang-Zhou.
Series:
Lecture Notes in Artificial Intelligence, 2945-9141 ; 16059
Language:
English
Subjects (All):
Artificial intelligence.
Computer engineering.
Computer networks.
Compilers (Computer programs).
Computer science.
Machine theory.
Artificial Intelligence.
Computer Engineering and Networks.
Compilers and Interpreters.
Computer Science Logic and Foundations of Programming.
Formal Languages and Automata Theory.
Local Subjects:
Artificial Intelligence.
Computer Engineering and Networks.
Compilers and Interpreters.
Computer Science Logic and Foundations of Programming.
Formal Languages and Automata Theory.
Physical Description:
1 online resource (465 pages)
Edition:
1st ed. 2026.
Place of Publication:
Cham : Springer Nature Switzerland : Imprint: Springer, 2026.
Summary:
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. .
Notes:
Description based on publisher supplied metadata and other sources.
Other Format:
Print version: Dai, Wang-Zhou Learning and Reasoning
ISBN:
9783032090874
OCLC:
1555344511

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