Shaping Knowledge: Complex Socio-Spatial Modelling for Adaptive Organizations

Author:   Jamie O’Brien (University College London, UK)
Publisher:   Woodhead Publishing Ltd
ISBN:  

9781843347514


Pages:   284
Publication Date:   26 September 2014
Format:   Paperback
Availability:   Manufactured on demand   Availability explained
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Shaping Knowledge: Complex Socio-Spatial Modelling for Adaptive Organizations


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Overview

Organizations in ever-changing environments depend upon their knowledge, as their survival depends upon effective thinking and agile actions. Any organization’s knowledge is its prime asset yet its true value requires the activations of structure, query, search and decision. Shaping Knowledge provides an introduction to the key tools for thinking required by decision-making professionals in today’s knowledge-intensive landscapes, and equips them with key skills to capitalize on knowledge resources. This book provides practical methods and critical insights for modelling knowledge-driven domains, providing a rich resource for exploration in professional development and practice.

Full Product Details

Author:   Jamie O’Brien (University College London, UK)
Publisher:   Woodhead Publishing Ltd
Imprint:   Chandos Publishing (Oxford) Ltd
Dimensions:   Width: 15.60cm , Height: 1.50cm , Length: 23.40cm
Weight:   0.400kg
ISBN:  

9781843347514


ISBN 10:   1843347512
Pages:   284
Publication Date:   26 September 2014
Audience:   College/higher education ,  Professional and scholarly ,  Postgraduate, Research & Scholarly ,  Professional & Vocational
Format:   Paperback
Publisher's Status:   Active
Availability:   Manufactured on demand   Availability explained
We will order this item for you from a manufactured on demand supplier.

Table of Contents

Dedication List of figures and tables Figures Tables Acknowledgements Preface About the author 1: Introduction and case study Abstract General introduction Space and knowledge Dimensions of knowledge Knowledge representation A case study in socio-spatial change Overview of the book 2: Innovation, agency and technology Abstract Spatializing knowledge Space and innovation Knowledge as technology Knowledge as innovation Patterns of innovation Space, knowledge and power Conclusion 3: The dynamics of innovation Abstract The social life of innovation Regional dynamics Complexity and modularity Patterns of adoption Flows Waves Bifurcations Criticality Conclusion 4: Modelling knowledge dynamics Abstract Information and knowledge Ecologies of innovation Ecologies of human development Network dynamics Network graphs Innovation networks The topology of regional knowledge System dynamics of innovations Conclusion 5: Modelling socio-spatial agents Abstract Agency and action Manifolds and mess Elements of agent behaviour Agency and autonomy Coalitions and decisions Resource allocation Search and decision-making Modelling with games Conclusion 6: Case studies in socio-spatial change Abstract Micro-level socio-spatial change: slum sanitation Micro-level change agents Meso-level socio-spatial change: remote long-term care services Socio-spatial inclusion and mobile platforms Meso-level knowledge integration Exo-level socio-spatial change: Arctic urbanization Exo-level instability and infrastructure Agency and adaptation Dilemmas and homophily Bidding and voting Knowledge systems Conclusion 7: Reasoning with graphs Abstract Representing knowledge flow Visualization as science and art Visualizations as thought experiments Drawing relationships Logic, symbols and computing Computing for simulation Community models Spatial distance functions Complex data modelling Spatial data structures Surface-network analysis Conclusion 8: Decisions and arguments Abstract Constructing knowledge Decisions and representation Experience and arguments Basics of argumentation Argumentation schemes Deriving arguments Applying argumentation Conclusion 9: Directions for adaptive planning Abstract Principles of adaptation Adaptation in human systems Managing knowledge complexity Directions for planning Directions for research Planning with implicit knowledge Calibrating models General summary General conclusions Glossary Sources for socio-spatial argumentation Bibliography Index

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Author Information

Jamie O’Brien is Research Manager at University College London (UCL) Virtual Environments, Imaging and Visualisation (VEIV), a multidisciplinary research and training centre. Jamie has held positions at the British Library of Political and Economic Science and a leading museum’s education department. He holds a PhD in engineering. Jamie is also a Research Associate at the UCL Centre for Digital Humanities, Visiting Fellow at the Centre for Mobilities Research, Lancaster University, and a Fellow of the Royal Society of Arts, UK.

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