Interdisciplinary approach is the best way forward when the future is bright with digital technology and modern systems to bring insights into solving and managing the real life issues. Artificial intelligence approach to sustainability focuses on planning and optimization issues. In particular, when the focus is on solving environmental sustainability issues, AI becomes a good framework. Computational sustainability can contribute to the following areas:Modeling of natural resource management systems, Adaptation and mitigation systems, Knowledge representation and knowledge integration, Simulation of complex natural resource systems, Robust management system design to face black swans, Automated agent planning and action.
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Destinazione, tempi e costiDa: moluna, Greven, Germania
Condizione: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Wenisch MariaS. Maria Wenisch has a PhD in Computer Science from Anna University INDIA. His specialization is on Artificial Intelligence and its applications. He has served as a reviewer, scientific committee member and has headed de. Codice articolo 158421765
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Da: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Germania
Taschenbuch. Condizione: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Interdisciplinary approach is the best way forward when the future is bright with digital technology and modern systems to bring insights into solving and managing the real life issues. Arti cial intelligence approach to sustainability focuses on planning and optimization issues. In particular, when the focus is on solving environmental sustainability issues, AI becomes a good framework. Computational sustainability can contribute to the following areas:Modeling of natural resource management systems, Adaptation and mitigation systems, Knowledge representation and knowledge integration, Simulation of complex natural resource systems, Robust management system design to face black swans, Automated agent planning and action. 188 pp. Englisch. Codice articolo 9783330014725
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Da: AHA-BUCH GmbH, Einbeck, Germania
Taschenbuch. Condizione: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Interdisciplinary approach is the best way forward when the future is bright with digital technology and modern systems to bring insights into solving and managing the real life issues. Arti cial intelligence approach to sustainability focuses on planning and optimization issues. In particular, when the focus is on solving environmental sustainability issues, AI becomes a good framework. Computational sustainability can contribute to the following areas:Modeling of natural resource management systems, Adaptation and mitigation systems, Knowledge representation and knowledge integration, Simulation of complex natural resource systems, Robust management system design to face black swans, Automated agent planning and action. Codice articolo 9783330014725
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Da: buchversandmimpf2000, Emtmannsberg, BAYE, Germania
Taschenbuch. Condizione: Neu. This item is printed on demand - Print on Demand Titel. Neuware -Interdisciplinary approach is the best way forward when the future is bright with digital technology and modern systems to bring insights into solving and managing the real life issues. Arti¿cial intelligence approach to sustainability focuses on planning and optimization issues. In particular, when the focus is on solving environmental sustainability issues, AI becomes a good framework. Computational sustainability can contribute to the following areas:Modeling of natural resource management systems, Adaptation and mitigation systems, Knowledge representation and knowledge integration, Simulation of complex natural resource systems, Robust management system design to face black swans, Automated agent planning and action.Books on Demand GmbH, Überseering 33, 22297 Hamburg 188 pp. Englisch. Codice articolo 9783330014725
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Da: Revaluation Books, Exeter, Regno Unito
Paperback. Condizione: Brand New. 188 pages. 8.66x5.91x0.43 inches. In Stock. Codice articolo 3330014725
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