Artificial Intelligence and Animal Ecology

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.

• 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.