Artificial Intelligence and Animal Ecology
A Review
1st Edition
Published on 28. July 2025
Book
Hardback
268 pages
978-1-032-78234-8 (ISBN)
Description
Artificial Intelligence and Animal Ecology: A Review explores the transformative synergy between AI and animal ecology, unveiling how cutting-edge technology is revolutionizing ecological research and conservation. This pioneering book bridges these dynamic fields, demonstrating how AI techniques-such as evolutionary algorithms and optimization methods-both draw inspiration from and advance the study of animal behavior, species interactions, and environmental adaptation. With a strong focus on innovation, it examines groundbreaking AI applications, from bio-inspired algorithms and adaptive learning to breakthroughs in animal communication and behavioral analysis. Readers will gain valuable insights into how AI deciphers complex ecological dynamics, including navigation, vocal communication, and interspecies relationships. The book also addresses ethical considerations, ensuring responsible AI integration in ecological research.
More than just a review, this book is a call to action. It empowers researchers, conservationists, and ecologists to embrace AI-driven solutions, fostering interdisciplinary collaboration and expanding the frontiers of ecological knowledge. As AI continues to evolve, Artificial Intelligence and Animal Ecology: A Review provides a vital roadmap for addressing environmental challenges with innovation and a deeper appreciation of the natural world.
More than just a review, this book is a call to action. It empowers researchers, conservationists, and ecologists to embrace AI-driven solutions, fostering interdisciplinary collaboration and expanding the frontiers of ecological knowledge. As AI continues to evolve, Artificial Intelligence and Animal Ecology: A Review provides a vital roadmap for addressing environmental challenges with innovation and a deeper appreciation of the natural world.
More details
Language
English
Place of publication
London
United Kingdom
Publishing group
Taylor & Francis Ltd
Target group
Professional and scholarly
Academic
Illustrations
15 s/w Tabellen, 8 farbige Zeichnungen, 24 s/w Zeichnungen, 24 s/w Abbildungen, 10 farbige Abbildungen, 2 Farbfotos bzw. farbige Rasterbilder
15 Tables, black and white; 8 Line drawings, color; 24 Line drawings, black and white; 2 Halftones, color; 10 Illustrations, color; 24 Illustrations, black and white
Dimensions
Height: 240 mm
Width: 161 mm
Thickness: 19 mm
Weight
581 gr
ISBN-13
978-1-032-78234-8 (9781032782348)
Copyright in bibliographic data and cover images is held by Nielsen Book Services Limited or by the publishers or by their respective licensors: all rights reserved.
Schweitzer Classification
Persons
Lidia Ghosh (Gold-Medalist, M.Tech., JU) is an Assistant Professor in the Department of Computer Application at the RCC Institute of Information Technology, Kolkata, India. She was a Postdoctoral Fellow at Liverpool Hope University, UK, and has received multiple prestigious fellowships, including the Rashtriya Uchchatara Shiksha Abhiyan Doctoral Fellowship. She has published over 50 research papers and serves as a reviewer for top IEEE journals. Her research focuses on cognitive neuroscience, deep learning, type-2 fuzzy sets, and human memory formation.
Amiyangshu De is a PhD candidate at the Indian Institute of Technology Kharagpur, currently working on context dependent auditory encoding of simple and complex sounds in the mouse brain. He is a pharmacy graduate with diverse domains of expertise from various academic backgrounds like pharmaceutical chemistry, cognitive science, animal behavior, molecular and system neuroscience. He has worked in different domains like cognitive loads and working memory, philosophical aspects of the co-evolution of language and cognition, and transcriptional regulations of adult neurogenesis. He has valuable contributions in multiple journals and conference presentations.
Amiyangshu De is a PhD candidate at the Indian Institute of Technology Kharagpur, currently working on context dependent auditory encoding of simple and complex sounds in the mouse brain. He is a pharmacy graduate with diverse domains of expertise from various academic backgrounds like pharmaceutical chemistry, cognitive science, animal behavior, molecular and system neuroscience. He has worked in different domains like cognitive loads and working memory, philosophical aspects of the co-evolution of language and cognition, and transcriptional regulations of adult neurogenesis. He has valuable contributions in multiple journals and conference presentations.
Content
Preface. Bio-Inspired Evolutionary and Swarm Optimization Algorithms. When Optimization Techniques are Inspired from Marine Ecology and Terrestrial Animal Behaviors. AI Advancements in Understanding Animal Behavioral Paradigms. Vocal Communications in the Animal Kingdom. Predicting Interactions Among Species in Ecological Networks: A Roadmap to Address Eltonian Shortfall. Interactions Among Species in Ecological Communications. AI Tools in Navigating the Nexus: Understanding Behavioral Effects of Altered Animal Ecology on Developmental Disorders. AI Applications in Addressing and Studying Developmental Challenges. Importance of AI-tech in Managing a Protected Area: Considering Forest Health Dynamics. The Role of AI in the Identification and Distribution of Microorganisms in Environments and their Associations. Future Directions and Emerging Technologies in AI for Animal Ecology. Index.