Name: Learning and Reasoning: 4th International Joint Conference on Learning and Reasoning, Ijclr 2024, and 33Rd International Conference on Inductive Logic. (Lecture Notes in Computer Science, 16059) (en Inglés)
Price: 389316.00 COP
Availability: InStock
Author: Dai Wang-Zhou
ISBN: 9783032090867

portada Learning and Reasoning: 4th International Joint Conference on Learning and Reasoning, Ijclr 2024, and 33Rd International Conference on Inductive Logic. (Lecture Notes in Computer Science, 16059) (en Inglés)

Learning and Reasoning: 4th International Joint Conference on Learning and Reasoning, Ijclr 2024, and 33Rd International Conference on Inductive Logic. (Lecture Notes in Computer Science, 16059) (en Inglés)

Formato

Libro Físico

Editorial

Springer Verlag Gmbh

Autor

Dai Wang-Zhou

Idioma

Inglés

N° páginas

307

Encuadernación

Tapa Blanda

ISBN13

9783032090867

Learning and Reasoning: 4th International Joint Conference on Learning and Reasoning, Ijclr 2024, and 33Rd International Conference on Inductive Logic. (Lecture Notes in Computer Science, 16059) (en Inglés)

Dai Wang-Zhou (Autor) · Springer Verlag Gmbh · Tapa Blanda

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Reseña del libro "Learning and Reasoning: 4th International Joint Conference on Learning and Reasoning, Ijclr 2024, and 33Rd International Conference on Inductive Logic. (Lecture Notes in Computer Science, 16059) (en Inglés)"

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.