Artificial intelligence and conservation / edited by Fei Fang, Milind Tambe, Bistra Dilkina, Andrew J. Plumptre
- Cambridge : Cambridge University Press, 2019.
- Physical Description:
- 1 online resource (x, 236 pages) : digital, PDF file(s).
- Additional Creators:
- Fang, Fei, 1989-, Tambe, Milind, 1965-, Dilkina, Bistra, and Plumptre, Andrew J.
- Law enforcement for wildlife conservation -- Wildlife poaching forecasting based on ranger-collected data and evaluation through field tests -- Optimal patrol planning against black-box attackers -- Automatic detection of poachers and wildlife with UAVs -- Protecting coral reef ecosystems via efficient patrols -- Simultaneous optimization of strategic and tactical planning for environmental sustainability and security -- NECTAR: enforcing environmental compliance through strategically randomized factory inspections -- Connecting conservation research and implementation: building a wildfire assistant -- Probablistic inference with generating functions for animal populations -- Engaging citizen scientists in data collection for conservation -- Simulator-defined markov decision processes: a case study in managing bio-invasions.
- 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.
- 9781108587792 (ebook)
- Title from publisher's bibliographic system (viewed on 13 Mar 2019).
View MARC record | catkey: 34852154