Artificial intelligence and conservation
- edited by Fei Fang, Carnegie Mellon University, Pennsylvania, Milind Tambe, University of Southern California, Bistra Dilkina, Georgia Institute of Technology, Andrew J. Plumptre, Key Biodiversity Areas Secretariat.
- Cambridge, United Kingdom ; New York, NY : Cambridge University Press, 2019.
- Physical description
- x, 236 pages : illustrations ; 23 cm.
- Artificial intelligence for social good.
At the library
Science Library (Li and Ma)
|QL82 .A78 2019||In process|
- Includes bibliographical references and index.
- Part I:
- 1. Introduction Fei Fang, Milind Tambe, Bistra Dilkina and Andrew J. Plumptre-- Part II:
- 2. Law enforcement for wildlife conservation Andrew J. Plumptre--
- 3. Wildlife poaching forecasting based on ranger-collected data and evaluation through field tests Shahrzad Gholami, Benjamin Ford, Debarun Kar, Fei Fang, Andrew J. Plumptre, Milind Tambe, Margaret Driciru, Fred Wanyama, Aggrey Rwetsiba, Mustafa Nsubuga and Joshua Mabonga--
- 4. Optimal patrol planning against black-box attackers Haifeng Xu, Benjamin Ford, Fei Fang, Bistra Dilkina, Andrew J. Plumptre, Milind Tambe, Margaret Driciru, Fred Wanyama, Aggrey Rwetsiba, Mustafa Nsubuga and Joshua Mabonga--
- 5. Automatic detection of poachers and wildlife with UAVs Elizabeth Bondi, Fei Fang, Mark Hamilton, Debarun Kar, Donnabell Dmello, Venil Noronha, Jongmoo Choi, Robert Hannaford, Arvind Iyer, Lucas Joppa, Milind Tambe and Ram Nevatia-- Part III:
- 6. Protecting coral reef ecosystems via efficient patrols Yue Yin and Bo An--
- 7. Simultaneous optimization of strategic and tactical planning for environmental sustainability and security Sara M. McCarthy, Milind Tambe, Christopher Kiekintveld, Meredith L. Gore and Alex Killion--
- 8. NECTAR Benjamin Ford, Matthew Brown, Amulya Yadav, Amandeep Singh, Arunesh Sinha, Biplav Srivastava, Christopher Kiekintveld and Milind Tambe--
- 9. Connecting conservation research and implementation Sean McGregor, Rachel M. Houtman, Ronald Metoyer and Thomas G. Dietterich--
- 10. Probabilistic inference with generating functions for animal populations Daniel Sheldon, Kevin Winner and Debora Sujono--
- 11. Engaging citizen scientists in data collection for conservation Yexiang Xue and Carla P. Gomes--
- 12. Simulator-defined Markov decision processes H. Jo Albers, Thomas G. Dietterich, Kim Hall, Majid A. Taleghan and Katherine Lee.
- (source: Nielsen Book Data)
With the increasing public interest in artificial intelligence (AI), there is also increasing interest in learning about the benefits that AI can deliver to society. This book focuses on research advances in AI that benefit the conservation of wildlife, forests, coral reefs, rivers, and other natural resources. It presents how the joint efforts of researchers in computer science, ecology, economics, and psychology help address the goals of the United Nations' 2030 Agenda for Sustainable Development. Written at a level accessible to conservation professionals and AI researchers, the book offers both an overview of the field and an in-depth view of how AI is being used to understand patterns in wildlife poaching and enhance patrol efforts in response, covering research advances, field tests and real-world deployments. The book also features efforts in other major conservation directions, including protecting natural resources, ecosystem monitoring, and bio-invasion management through the use of game theory, machine learning, and optimization.
(source: Nielsen Book Data)
- Publication date
- Artificial intelligence for social good
- 9781316512920 hardcover alkaline paper
- 1316512924 hardcover alkaline paper
- 9781108464734 paperback alkaline paper
- 1108464734 paperback alkaline paper
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