Learning Language in Logic Lecture Notes in Computer Science 1925 Lecture Notes in Artificial Intelligence 1st editiin by Sašo Džeroski, James Cussens, Suresh Manandhar, James Cussens, Sašo Džeroski ISBN 3540411453 978-3540411451

Learning Language in Logic (Lecture Notes in Computer Science 1925 Lecture Notes in Artificial Intelligence) 1st editiin by Sašo Džeroski, James Cussens, Suresh Manandhar, James Cussens, Sašo Džeroski – Ebook PDF Instant Download/Delivery. ‎ 3540411453 978-3540411451
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ISBN 10: ‎ 3540411453
ISBN 13: 978-3540411451
Author: Sašo Džeroski, James Cussens, Suresh Manandhar, James Cussens, Sašo Džeroski 

This book provides a self-contained introduction to Learning Language in Logic (LLL) and, at the same time, competently surveys the current state of the art of research in the area. The book has its origin in the first LLL workshop which took place in Bled, Slovenia in June 1999. Beyond revised workshop papers, a number of additional chapters were solicited from leading researchers in order to achieve complete coverage of all current aspects and to introduce the new area to a broader audience. As the first book devoted to LLL, this thoroughly cross-reviewed state-of-the-art survey will become a valuable source of reference for researchers active in the area. Newcomers or professionals interested in advanced LLL applications will find this book an ideal guide to an exciting new field.

Learning Language in Logic (Lecture Notes in Computer Science 1925 Lecture Notes in Artificial Intelligence) 1st Table of contents:

Preface

• Introduction to Learning Language in Logic
• The Role of Logic in AI and Language Learning
• Overview of the Book’s Structure and Contributions

Chapter 1: Introduction to Logic and Language

• What is Logic?
• Basic Elements of Logical Systems
• Language and Meaning in AI
• Applications of Logic in Computational Linguistics and AI

Chapter 2: Foundations of Learning in Logic

• Symbolic Learning in Logic Systems
• Classical Logic vs. Non-Classical Logics
• Learning Algorithms for Logical Systems
• The Relationship Between Logic and Machine Learning

Chapter 3: Logic Programming and Language Representation

• Introduction to Logic Programming (e.g., Prolog)
• Language Representation Using Logic
• Syntax and Semantics in Logic Programming
• Parsing and Grammar in Logic-Based Languages

Chapter 4: Inductive Logic Programming (ILP)

• What is Inductive Logic Programming?
• Learning Logical Theories from Examples
• ILP Algorithms and Approaches
• Applications of ILP in Natural Language Processing and AI

Chapter 5: Learning Algorithms for Logical Structures

• Evolutionary Algorithms for Logic Learning
• Neural Networks vs. Logical Systems
• Probabilistic Models in Logic Learning
• Combining Symbolic and Subsymbolic Learning Approaches

Chapter 6: Knowledge Representation and Reasoning in Language Learning

• Formalizing Knowledge Using Logic
• Logical Reasoning for Language Understanding
• Deductive and Inductive Reasoning Models
• Knowledge Representation in AI: Ontologies and Logic

Chapter 7: Logic-Based Approaches to Language Acquisition

• How Machines Learn Language Through Logic
• Case Studies in Language Acquisition Using Logic
• Interaction Between Symbolic Systems and Natural Language Processing
• Learning Linguistic Structures and Syntax from Data

Chapter 8: Applications of Learning Language in Logic

• AI in Natural Language Understanding and Translation
• Logical Systems in Dialogue Systems and Conversational AI
• Language Modelling and Information Retrieval
• Real-World Applications in Robotics and Virtual Assistants

Chapter 9: Challenges in Learning Language in Logic

• Ambiguity in Language and Logic Systems
• Scaling Logic-Based Learning to Complex Data
• Computational Complexity and Efficiency
• Balancing Symbolic and Subsymbolic Methods

Chapter 10: Future Directions and Open Problems

• The Role of Logic in Emerging AI Technologies
• Hybrid Approaches: Integrating Logic with Deep Learning
• Ethical Considerations in Language and Logic Learning
• Research Frontiers in Language Acquisition through Logic

Appendices

• Logical Formulas and Proofs
• Overview of Key Algorithms in Logic-Based Learning
• Glossary of Terms in Logic and AI
• Additional Resources and Further Reading

Index

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