Shaping Knowledge

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