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.
The volume explores AI's transformative role in addressing ecological challenges and enhancing our understanding of the natural world. It highlights how species' ecological behavior have enriched AI's adaptive capabilities, aiding in the analysis of habitat, navigation, and communication.
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.
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.
