Overview

Full Product Details

Author:   Oleksandr Kuznetsov
Publisher:   Springer Nature Switzerland AG
Imprint:   Springer Nature Switzerland AG
ISBN:  

9783032000439

ISBN 10:   3032000432
Pages:   395
Publication Date:   12 October 2025
Audience:   Professional and scholarly ,  College/higher education ,  Professional & Vocational ,  Postgraduate, Research & Scholarly
Format:   Hardback
Publisher's Status:   Active
Availability:   Not yet available  
This item is yet to be released. You can pre-order this item and we will dispatch it to you upon its release.

Table of Contents

""Dedication.- Acknowledgments.- Foreword.- Preface.- About This Book.- Acronyms.- 1"".- "" Introduction to Intelligent Systems"".- ""2. The Evolution of Artificial Intelligence"".- ""3. The Turing Test and Fundamental AI Concepts"".- ""4. Modern Applications of Intelligent Systems"".- ""5. Problem Formulation and Search Spaces"".- ""6. Uninformed Search Algorithms"".- ""7. Informed Search Algorithms"".- ""8. The A* Algorithm"".- ""9. Genetic Algorithms"".- ""10. Hill Climbing"".- ""11. Simulated Annealing"".- ""12. Gradient-Based Optimization"".- ""13. Tabu Search.- ""14. Swarm Intelligence"".- ""Part III. Advanced Machine Learning"".- ""15. Introduction to Machine Learning"".-  ""16. Supervised Learning"".- ""17. Unsupervised Learning"".-  ""18. Reinforcement Learning.- Appendix A: Uninformed Search Algorithm Exercises.- Appendix B: Informed Search Algorithm Exercises.- Appendix C: A* Algorithm Implementation Exercises.- Appendix D: Genetic Algorithms Exercises.- Appendix E: Hill Climbing Exercises.- Appendix F: Simulated Annealing Exercises.- Appendix G: Gradient Descent Optimization Exercises.- Appendix H: Tabu Search Exercises.- Appendix I: Swarm Intelligence Exercises.- Appendix J: Machine Learning Fundamentals Exercises.- Appendix K: Supervised Learning Exercises.- Appendix L: Unsupervised Learning Exercises.- Appendix M: Reinforcement Learning Exercises"".

Reviews

Author Information

Prof. Oleksandr Kuznetsov is a faculty member at the Department of Theoretical and Applied Sciences, eCampus University, Italy. He also works as a Senior Data Scientist at Proxima Labs in San Francisco, USA. Prof. Kuznetsov has extensive experience in teaching and researching intelligent systems, with a focus on bridging theoretical concepts with practical applications. He has developed and taught courses on Artificial Intelligence, Machine Learning, and Intelligent Systems at the university level, and has published numerous papers in peer-reviewed journals and conferences in these fields.

Tab Content 6

Author Website:  

Countries Available

All regions