Learning and Reasoning: 4th International Joint Conference on Learning and Reasoning, Ijclr 2024, and 33rd International Conference on Inductive Logic
暫譯: 學習與推理:第四屆國際學習與推理聯合會議 Ijclr 2024 及第三十三屆國際歸納邏輯會議

Dai, Wang-Zhou

  • 出版商: Springer
  • 出版日期: 2025-11-21
  • 售價: $5,290
  • 貴賓價: 9.5$5,026
  • 語言: 英文
  • 頁數: 294
  • 裝訂: Quality Paper - also called trade paper
  • ISBN: 3032090865
  • ISBN-13: 9783032090867
  • 相關分類: Large language model
  • 海外代購書籍(需單獨結帳)

相關主題

商品描述

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.

商品描述(中文翻譯)

本書為第四屆國際聯合學術會議學習會議(IJCLR 2024)及第三十三屆國際歸納邏輯程式設計會議(ILP 2024)的經過審核的會議論文集,會議於2024年9月20日至22日在中國南京舉行。

本書中所呈現的13篇完整論文和5篇短文是從25篇投稿中精心挑選和審核而來。這些論文已按照以下主題部分進行組織:歸納邏輯程式設計(ILP);神經符號人工智慧;統計關係學習;認知人工智慧;概率邏輯程式設計;元解釋學習;謂詞發明;程式合成;知識表示;邏輯與關係學習;可解釋的人工智慧;可信的人工智慧;大型語言模型(LLMs);形式推理;溯因推理與歸納推理。

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