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1. |
Record Nr. |
UNINA9910790336203321 |
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Titolo |
Collaborative governance of tropical landscapes / / edited by Carol J. Pierce Colfer and Jean-Laurent Pfund |
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Pubbl/distr/stampa |
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London ; ; Washington, D.C. : , : Earthscan, , 2011 |
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ISBN |
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1-136-53795-3 |
1-283-52087-7 |
9786613833327 |
1-84977-560-5 |
1-136-53796-1 |
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Descrizione fisica |
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1 online resource (303 p.) |
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Collana |
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Altri autori (Persone) |
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ColferCarol J. Pierce |
PfundJean-Laurent |
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Disciplina |
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Soggetti |
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Forest management - Tropics |
Landscape protection - Tropics |
Sustainable forestry - Tropics |
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Lingua di pubblicazione |
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Formato |
Materiale a stampa |
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Livello bibliografico |
Monografia |
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Note generali |
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Description based upon print version of record. |
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Nota di bibliografia |
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Includes bibliographical references and index. |
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Nota di contenuto |
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Cover; Collaborative Governance of Tropical Landscapes; Copyright; Contents; List of Figures, Tables and Boxes; Contributors; Acknowledgements; Abbreviations; 1An Introduction to Five TropicalLandscapes, their People andtheir Governance; 2The Governance of TropicalForested Landscapes; 3Role of the District Government inDirecting Landscape Dynamicsand People's Futures:Lessons Learnt from BungoDistrict, in Jambi Province; 4Information Flows, Decisionmakingand Social Acceptability inDisplacement Processes |
5Changing Landscapes,Transforming Institutions:Local Management of NaturalResources in the East UsambaraMountains, Tanzania6Traditional Use of ForestFragments in Manompana,Madagascar; 7The Role of Wild Speciesin the Governance of TropicalForested Landscapes; 8Governance and NTFP Chains inthe Takamanda-Mone Landscape,Cameroon; 9A Dozen Indicatorsfor Assessing Governancein Forested Landscapes; 10Minefields in CollaborativeGovernance; 11The Essential Taskof |
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'Muddling Through' toBetter Landscape Governance; Index |
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Sommario/riassunto |
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This book provides a novel approach to governance relating to biodiversity and human well-being in complex tropical landscapes, including forests and protected areas. It focuses attention at the interface between communities and the landscape level, building on interdisciplinary research conducted in five countries (Cameroon, Indonesia, Laos, Madagascar and Tanzania). In each country, the research was set within the framework of a major national policy thrust. The book improves our understanding of and ability to manage complex landscapes---mosaics of differing land uses---in a more adaptiv |
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2. |
Record Nr. |
UNINA9910337570703321 |
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Autore |
Guan Zhi-Hong |
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Titolo |
Introduction to Hybrid Intelligent Networks : Modeling, Communication, and Control / / by Zhi-Hong Guan, Bin Hu, Xuemin (Sherman) Shen |
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Pubbl/distr/stampa |
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Cham : , : Springer International Publishing : , : Imprint : Springer, , 2019 |
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ISBN |
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Edizione |
[1st ed. 2019.] |
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Descrizione fisica |
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1 online resource (IX, 292 p. 62 illus., 58 illus. in color.) |
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Disciplina |
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Soggetti |
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Artificial intelligence |
Wireless communication systems |
Mobile communication systems |
Electrical engineering |
Artificial Intelligence |
Wireless and Mobile Communication |
Communications Engineering, Networks |
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Lingua di pubblicazione |
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Formato |
Materiale a stampa |
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Livello bibliografico |
Monografia |
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Nota di contenuto |
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1 Hybrid Intelligent Networks -- 2 Delayed Hybrid Impulsive Neural Networks -- 3 Hybrid Impulsive Neural Networks with Interval-Uncertain Weights -- 4 Multistability of Hybrid Impulsive Neural |
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Networks and Associative Memories -- 5 Impulsive Neural Networks Towards Image Protection -- 6 Hybrid Memristor-Based Impulsive Neural Networks -- 7 Hybrid Impulsive and Switching Control -- 8 Hybrid Communication and Control in Multi-Agent Networks -- 9 Event-Driven Communication and Control in Multi-Agent Networks -- 10 Hybrid Event-Time-Driven Communication and Network Optimization. |
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Sommario/riassunto |
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This book covers the fundamental principles, new theories and methodologies, and potential applications of hybrid intelligent networks. Chapters focus on hybrid neural networks and networked multi-agent networks, including their communication, control and optimization synthesis. This text also provides a succinct but useful guideline for designing neural network-based hybrid artificial intelligence for brain-inspired computation systems and applications in the Internet of Things. Artificial Intelligence has developed into a deep research field targeting robots with more brain-inspired perception, learning, decision-making abilities, etc. This text devoted to a tutorial on hybrid intelligent networks that have been identified in nature and engineering, especially in the brain, modeled by hybrid dynamical systems and complex networks, and have shown potential application to brain-inspired intelligence. Included in this text are impulsive neural networks, neurodynamics, multiagent networks, hybrid dynamics analysis, collective dynamics, as well as hybrid communication, control and optimization methods. Graduate students who are interested in artificial intelligence and hybrid intelligence, as well as professors and graduate students who are interested in neural networks and multiagent networks will find this textbook a valuable resource. AI engineers and consultants who are working in wireless communications and networking will want to buy this book. Also, professional and academic institutions in universities and Mobile vehicle companies and engineers and managers who concern humans in the loop of IoT will also be interested in this book. |
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