<p>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.</p><p>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:</p><p class="MsoNormal"><span style="mso-bidi-font-family: Calibri; mso-bidi-theme-font: minor-latin; mso-ansi-language: EN-US;">Inductive Logic Programming (ILP)</span><span style="mso-bidi-font-family: Calibri; mso-bidi-theme-font: minor-latin; mso-ansi-language: EN-US; mso-fareast-language: ZH-CN;">; </span><span style="mso-bidi-font-family: Calibri; mso-bidi-theme-font: minor-latin; mso-ansi-language: EN-US;">Neuro-Symbolic AI</span><span style="mso-bidi-font-family: Calibri; mso-bidi-theme-font: minor-latin; mso-ansi-language: EN-US; mso-fareast-language: ZH-CN;">; </span><span style="mso-bidi-font-family: Calibri; mso-bidi-theme-font: minor-latin; mso-ansi-language: EN-US;">Statistical Relational Learning</span><span style="mso-bidi-font-family: Calibri; mso-bidi-theme-font: minor-latin; mso-ansi-language: EN-US; mso-fareast-language: ZH-CN;">; Cognitive AI; </span><span style="mso-bidi-font-family: Calibri; mso-bidi-theme-font: minor-latin; mso-ansi-language: EN-US;">Probabilistic Logic Programming</span><span style="mso-bidi-font-family: Calibri; mso-bidi-theme-font: minor-latin; mso-ansi-language: EN-US; mso-fareast-language: ZH-CN;">; </span><span style="mso-bidi-font-family: Calibri; mso-bidi-theme-font: minor-latin; mso-ansi-language: EN-US;">Meta-Interpretive Learning</span><span style="mso-bidi-font-family: Calibri; mso-bidi-theme-font: minor-latin; mso-ansi-language: EN-US; mso-fareast-language: ZH-CN;">; </span><span style="mso-bidi-font-family: Calibri; mso-bidi-theme-font: minor-latin; mso-ansi-language: EN-US;">Predicate Invention</span><span style="mso-bidi-font-family: Calibri; mso-bidi-theme-font: minor-latin; mso-ansi-language: EN-US; mso-fareast-language: ZH-CN;">; </span><span style="mso-bidi-font-family: Calibri; mso-bidi-theme-font: minor-latin; mso-ansi-language: EN-US;">Program Synthesis</span><span style="mso-bidi-font-family: Calibri; mso-bidi-theme-font: minor-latin; mso-ansi-language: EN-US; mso-fareast-language: ZH-CN;">; </span><span style="mso-bidi-font-family: Calibri; mso-bidi-theme-font: minor-latin; mso-ansi-language: EN-US;">Knowledge Representation</span><span style="mso-bidi-font-family: Calibri; mso-bidi-theme-font: minor-latin; mso-ansi-language: EN-US; mso-fareast-language: ZH-CN;">; </span><span style="mso-bidi-font-family: Calibri; mso-bidi-theme-font: minor-latin; mso-ansi-language: EN-US;">Logical and Relational Learning</span><span style="mso-bidi-font-family: Calibri; mso-bidi-theme-font: minor-latin; mso-ansi-language: EN-US; mso-fareast-language: ZH-CN;">; </span><span style="mso-bidi-font-family: Calibri; mso-bidi-theme-font: minor-latin; mso-ansi-language: EN-US;">Explainable AI</span><span style="mso-bidi-font-family: Calibri; mso-bidi-theme-font: minor-latin; mso-ansi-language: EN-US; mso-fareast-language: ZH-CN;">; </span><span style="mso-bidi-font-family: Calibri; mso-bidi-theme-font: minor-latin; mso-ansi-language: EN-US;">Trustworthy AI</span><span style="mso-bidi-font-family: Calibri; mso-bidi-theme-font: minor-latin; mso-ansi-language: EN-US; mso-fareast-language: ZH-CN;">; </span><span style="mso-bidi-font-family: Calibri; mso-bidi-theme-font: minor-latin; mso-ansi-language: EN-US;">Large Language Models (LLMs)</span><span style="mso-bidi-font-family: Calibri; mso-bidi-theme-font: minor-latin; mso-ansi-language: EN-US; mso-fareast-language: ZH-CN;">; </span><span style="mso-bidi-font-family: Calibri; mso-bidi-theme-font: minor-latin; mso-ansi-language: EN-US;">Formal Reasoning</span><span style="mso-bidi-font-family: Calibri; mso-bidi-theme-font: minor-latin; mso-ansi-language: EN-US; mso-fareast-language: ZH-CN;">; </span><span style="mso-bidi-font-family: Calibri; mso-bidi-theme-font: minor-latin; mso-ansi-language: EN-US;">Abductive and Inductive Reasoning.</span></p><p>&#xa0;</p>

错误:搜索内容不能为空,请输入英文关键词
错误:关键词超出字数限制,请精简
高级检索

Learning and Reasoning

摘要

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.