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Mathematical Problems from Applied Logic II by Dov Gabbay – Springer hardcover
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Mathematical Problems from Applied Logic II: Logics for the XXIst Century by Dov Gabbay – A Springer Research Volume for

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Product Description

Introduction

Dov Gabbay's Mathematical Problems from Applied Logic II: Logics for the XXIst Century is a landmark volume that charts the future of logical inquiry. Published by Springer, this hardbound edition brings together cutting-edge research from some of the most distinguished logicians of our time. For Indian students, researchers, and professionals in mathematics, computer science, and artificial intelligence, this book offers a rare glimpse into the frontiers of applied logic—showing how classical logical frameworks are being reimagined to solve complex real-world problems. Whether you are preparing for advanced studies or seeking to deepen your understanding of logic's role in modern science, this work is an indispensable addition to your library.

Book Overview

This second volume in the series focuses on logics that are shaping the twenty-first century. Unlike traditional logic texts that dwell on foundational theory alone, this book explores how logical systems are being extended and applied across disciplines—from computability theory and provability logic to spacetime geometry and hybrid systems. The contributors, including Sergei Artemov, John Case, Sergei Goncharov, Judit X. Madarász, István Németi, Gergely Székely, Anil Nerode, and Dimiter Vakarelov, present original chapters that push the boundaries of what logic can achieve. The result is a rich tapestry of ideas that will inspire new generations of thinkers in India and around the world.

Key Highlights

  • World-Renowned Contributors: Chapters authored by leading logicians from the USA, Russia, Hungary, and Bulgaria, offering diverse perspectives on the future of logic.
  • Interdisciplinary Scope: Bridges logic with computer science, AI, biology, psychology, physics, chemistry, economics, and other basic sciences.
  • Original Research: Presents novel mathematical problems and solutions that address real-world challenges in computation and reasoning.
  • High-Quality Production: Premium hardcover binding from Springer, built to last through years of study and reference.
  • Timely Relevance: Focuses on logics that are critical for the development of AI, hybrid systems, and space-time theories in the 21st century.

Inside the Book

The volume opens with a deep dive into the logic of provability, exploring how formal systems can reason about their own consistency and completeness. Subsequent chapters examine computability theory and its surprising applications to biology, psychology, and economics—showing how logical models can simulate complex adaptive systems. The book also ventures into computable models, offering new insights into the foundations of mathematics. A particularly fascinating section deals with logic and spacetime geometry, where researchers like Judit X. Madarász, István Németi, and Gergely Székely investigate the logical structures underlying relativity. Hybrid systems—integrating discrete and continuous dynamics—are also treated in depth, alongside a region-based theory of space that has implications for spatial reasoning in AI.

Key Topics

  • Logic of provability and self-referential systems
  • Computability theory in biology, psychology, physics, chemistry, and economics
  • Computable models and their role in mathematical foundations
  • Logic and spacetime geometry: from relativity to quantum logic
  • Hybrid systems: bridging discrete and continuous dynamics
  • Region-based theory of space for AI and geographic information systems
  • Applications of logic to natural language processing and knowledge representation

Reader Benefits

This book is not just a collection of papers—it is a toolkit for the future. By engaging with these chapters, readers will develop the ability to identify logical problems in emerging technologies and formulate solutions using advanced logical frameworks. The interdisciplinary approach ensures that insights from one field can be transferred to another, fostering innovation. For Indian students preparing for competitive exams or research careers, the book provides a solid grounding in the mathematical rigor required for cutting-edge work. Professionals in AI and software engineering will find practical ideas for designing more robust reasoning systems. The hardcover format makes it a durable reference that can be revisited as your understanding deepens.

Learning Outcomes

  • Understand the latest developments in provability logic and its applications to computer science
  • Apply computability theory to model complex phenomena in natural and social sciences
  • Analyze the logical foundations of spacetime theories and hybrid dynamical systems
  • Evaluate region-based approaches to spatial reasoning for AI and robotics
  • Develop original mathematical problems inspired by real-world logical challenges
  • Critically assess the role of logic in shaping the future of artificial intelligence

Who Should Read

This book is tailored for advanced undergraduate and postgraduate students in mathematics, computer science, and philosophy. It is equally valuable for researchers in logic, AI, theoretical computer science, and the philosophy of science. Indian faculty members seeking to update their curriculum with contemporary topics will find it a rich resource. Professionals working in AI, machine learning, and formal verification will gain new perspectives on foundational issues. Anyone with a strong background in basic logic and a curiosity about where the field is headed will find this volume both challenging and rewarding.

About the Author

Dov Gabbay is one of the most prolific and influential logicians of our time. With hundreds of publications and numerous edited volumes to his name, he has shaped the modern landscape of applied logic. His work spans non-classical logics, argumentation theory, and computational logic. Gabbay's ability to bring together leading thinkers from around the world makes this volume a true collaborative achievement. For Indian readers, his efforts provide a gateway to global research trends in logic.

About the Publisher

Springer is a world-renowned academic publisher with a legacy of excellence in science, technology, and mathematics. Their books are known for rigorous peer review and high editorial standards. This hardcover edition reflects Springer's commitment to producing durable, authoritative works that serve as lasting references for scholars and students alike. Indian institutions and libraries trust Springer for their academic collections.

Conclusion

Mathematical Problems from Applied Logic II: Logics for the XXIst Century is more than a book—it is a vision of what logic can become. By bringing together pioneers in the field, Dov Gabbay has created a volume that challenges, inspires, and equips readers to tackle the most pressing logical questions of our time. For the Indian academic community, this work represents an opportunity to engage with global research at the highest level. Add this essential hardcover to your collection today and take your place at the forefront of logical inquiry.

Quick Summary

Mathematical Problems from Applied Logic II: Logics for the XXIst Century, edited by Dov Gabbay, is a seminal collection that brings together leading logicians to explore the most pressing challenges in applied logic. The book delves into logic of provability, computability theory as it applies to biology, physics, chemistry, economics, and other sciences, computable models, logic and space-time geometry, hybrid systems, and region-based theory of space. Each chapter is written by an expert such as Sergei Artemov, John Case, Sergei Goncharov, Judit X. Madarász, István Németi, Gergely Székely, Anil Nerode, and Dimiter Vakarelov. This volume is designed for advanced researchers, PhD students, and professionals in mathematics, computer science, and artificial intelligence who want to stay at the forefront of logical inquiry. Readers will gain deep insights into how logic can be applied to solve complex problems across disciplines, and they will encounter open problems that define the future of the field. Buying from Bookshops.in ensures you receive an authentic Springer hardcover, delivered across India with reliable service.

Book Highlights

Edited by world-renowned logician Dov Gabbay
Contributions from Sergei Artemov, John Case, Sergei Goncharov, and others
Explores logic of provability and its applications
Discusses computability theory in biology, physics, chemistry, economics
Covers computable models and model theory
Investigates logic and space-time geometry
Includes hybrid systems and region-based topology
Addresses logic requirements for AI and computer science
Presents open problems for future research
Published by Springer, a leader in scientific literature
Hardcover edition for durable reference
Suitable for PhD students and academic researchers
Bridges pure logic with real-world applications
Comprehensive coverage of 21st century logical challenges

Book Specifications

ISBN-139780387692449
ISBN-100387692444
Publisher‎ Springer-Verlag New York Inc.
Language‎ English
Dimensions‎ 16.79 x 2.39 x 24.05 cm
Weight‎ 667 g
CategoryPhilosophy › Logic
GenreScience & Mathematics
Original LanguageEnglish

Frequently Asked Questions

What is the main focus of this book?
It presents advanced problems in applied logic, covering provability, computability, space-time geometry, hybrid systems, and region-based theory of space.
Who is the editor of this volume?
Dov Gabbay, a highly respected logician, edited this collection.
Which topics does the book cover?
Topics include logic of provability, computability theory applied to biology, physics, chemistry, economics, computable models, logic and space-time geometry, hybrid systems, and region-based theory of space.
Is this book suitable for undergraduate students?
It is primarily aimed at researchers and PhD students with a strong background in logic.
Who are the contributing authors?
Contributors include Sergei Artemov, John Case, Sergei Goncharov, Judit X. Madarász, István Németi, Gergely Székely, Anil Nerode, and Dimiter Vakarelov.
Is this a hardcover or paperback?
This is a hardcover edition.
What is the ISBN of this book?
The ISBN-13 is 9780387692449.
Which publisher released this book?
Springer.
What language is the book in?
English.
Can I use this book for AI research?
Yes, it covers logic requirements for AI and computer science.
Does the book include open problems?
Yes, it presents problems for further development.
Is this part of a series?
It is volume II but the focus is on standalone research content.
Where can I buy this book in India?
Bookshops.in offers this Springer hardcover for Indian readers.

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