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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.

Shaping Knowledge: Complex Socio-Spatial Modelling for Adaptive Organizations

• 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