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Knowledge System Development: Insights from Indonesia and International Applications illustrates how knowledge systems work in the evidence-based policy making process and the dynamics of different actors in the ecosystem. Applying the Knowledge System Model 2.0 in Indonesia and in selected international case studies, it explores key issues and dynamics in the knowledge-to-policy process in Indonesia and offers important insights for application in other country contexts. Written from the unique vantage point of knowledge system actors themselves in cooperation with development practitioners and researchers, the book captures efforts to clarify the roles of different actors in the knowledge system and how they interacted to influence policy. When the actors and institutions in the knowledge system interact and challenge each other to articulate and commit to a shared purpose, it is easier to navigate the inherent tensions between technical solutions and political objectives to advance the reform agenda. Intermediaries in the knowledge system can play an important role in facilitating the interactions between these actors and institutions.
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Knowledge System Development: Insights from Indonesia and International Applications illustrates how knowledge systems work in the evidence-based policy making process and the dynamics of different actors in the ecosystem. Applying the Knowledge System Model 2.0 in Indonesia and in selected international case studies, it explores key issues and dynamics in the knowledge-to-policy process in Indonesia and offers important insights for application in other country contexts. Written from the unique vantage point of knowledge system actors themselves in cooperation with development practitioners and researchers, the book captures efforts to clarify the roles of different actors in the knowledge system and how they interacted to influence policy. When the actors and institutions in the knowledge system interact and challenge each other to articulate and commit to a shared purpose, it is easier to navigate the inherent tensions between technical solutions and political objectives to advance the reform agenda. Intermediaries in the knowledge system can play an important role in facilitating the interactions between these actors and institutions.
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Knowledge System Development: Insights from Indonesia and International Applications illustrates how knowledge systems work in the evidence-based policy making process and the dynamics of different actors in the ecosystem. Applying the Knowledge System Model 2.0 in Indonesia and in selected international case studies, it explores key issues and dynamics in the knowledge-to-policy process in Indonesia and offers important insights for application in other country contexts. Written from the unique vantage point of knowledge system actors themselves in cooperation with development practitioners and researchers, the book captures efforts to clarify the roles of different actors in the knowledge system and how they interacted to influence policy. When the actors and institutions in the knowledge system interact and challenge each other to articulate and commit to a shared purpose, it is easier to navigate the inherent tensions between technical solutions and political objectives to advance the reform agenda. Intermediaries in the knowledge system can play an important role in facilitating the interactions between these actors and institutions.
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Cette édition numérique a été réalisée à partir d'un support physique, parfois ancien, conservé au sein du dépôt légal de la Bibliothèque nationale de France, conformément à la loi n° 2012-287 du 1er mars 2012 relative à l'exploitation des Livres indisponibles du XXe siècle.
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"One of the domains of artificial intelligence is knowledge-representation that focuses on the designing of the computer representation which acquires information across the world for solving complex problems. This book illustrates different techniques and structures that are used in knowledge representation and machine learning. Addresses the representational adequacy for the representation of required knowledge Manipulates inferential adequacy for the representation of knowledge for developing new knowledge inferred from original knowledge Acquiring inferential and acquisition efficiency by acquiring new knowledge using automatic methods Based on the latest technology covering major challenges, issues, and advances Covers concepts for developing latest applications using embedded machine learning techniques The aim of this book is to draw the attention of graduates, researchers and practitioners working in field of information technology and computer science (in knowledge representation in machine learning) towards the basic and advance concepts"--
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