商品描述
"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.
商品描述(中文翻譯)
《人工智慧與動物生態學：綜述》探討了人工智慧（AI）與動物生態學之間的變革性協同效應，揭示了尖端技術如何徹底改變生態研究和保育工作。這本開創性的書籍橋接了這兩個動態領域，展示了AI技術——如演化算法和優化方法——如何從動物行為、物種互動和環境適應的研究中汲取靈感並推進這些研究。書中強調創新，檢視了從生物啟發算法和自適應學習到動物溝通和行為分析的突破性AI應用。讀者將獲得有關AI如何解讀複雜生態動態的寶貴見解，包括導航、聲音溝通和物種間關係。該書還探討了倫理考量，確保在生態研究中負責任地整合AI。
這本書不僅僅是一篇綜述，更是一個行動的號召。它賦予研究人員、保育工作者和生態學家擁抱AI驅動解決方案的能力，促進跨學科合作，擴展生態知識的邊界。隨著AI的持續演進，《人工智慧與動物生態學：綜述》提供了一條重要的路線圖，以創新和更深刻的自然世界理解來應對環境挑戰。
作者簡介
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.
作者簡介(中文翻譯)
Lidia Ghosh（金牌得主，碩士學位，JU）是印度加爾各答RCC資訊技術學院計算機應用系的助理教授。她曾在英國利物浦霍普大學擔任博士後研究員，並獲得多項著名獎學金，包括Rashtriya Uchchatara Shiksha Abhiyan博士獎學金。她已發表超過50篇研究論文，並擔任多本頂尖IEEE期刊的審稿人。她的研究重點包括認知神經科學、深度學習、二型模糊集以及人類記憶形成。
Amiyangshu De是印度理工學院卡哈爾古爾的博士候選人，目前正在研究小鼠大腦中簡單和複雜聲音的情境依賴性聽覺編碼。他是一名藥學畢業生，擁有來自藥物化學、認知科學、動物行為、分子和系統神經科學等多個學術背景的多元專業知識。他曾在不同領域工作，包括認知負荷和工作記憶、語言與認知共同演化的哲學方面，以及成人神經生成的轉錄調控。他在多個期刊和會議報告中做出了寶貴的貢獻。
