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{ "item_title" : "Learning and Reasoning", "item_author" : [" Wang-Zhou Dai "], "item_description" : "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.", "item_img_path" : "https://covers4.booksamillion.com/covers/bam/3/03/209/086/3032090865_b.jpg", "price_data" : { "retail_price" : "129.99", "online_price" : "129.99", "our_price" : "129.99", "club_price" : "129.99", "savings_pct" : "0", "savings_amt" : "0.00", "club_savings_pct" : "0", "club_savings_amt" : "0.00", "discount_pct" : "10", "store_price" : "" } }
Learning and Reasoning|Wang-Zhou Dai

Learning and Reasoning : 4th International Joint Conference on Learning and Reasoning, Ijclr 2024, and 33rd International Conference on Inductive Logic

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Overview

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.

This item is Non-Returnable

Details

  • ISBN-13: 9783032090867
  • ISBN-10: 3032090865
  • Publisher: Springer
  • Publish Date: November 2025
  • Dimensions: 9.21 x 6.14 x 0.65 inches
  • Shipping Weight: 0.96 pounds
  • Page Count: 294

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