Shaping Knowledge

Complex Socio-Spatial Modelling for Adaptive Organizations

AvJamie O'Brien

Häftad, Engelska, 2014

Del i serien Chandos Information Professional Series

590 kr

Beställningsvara. Skickas inom 10-15 vardagar. Fri frakt över 249 kr.

Fler format och utgåvor

E-bok

834 kr

Beskrivning

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.

Applies high-level theory work to an engineering domain
Proposes a novel approach to spatial, urban and interaction design
Brings a rare inter-disciplinary perspective to a convergent technology

Produktinformation

Utgivningsdatum:2014-09-26
Mått:156 x 234 x undefined mm
Vikt:400 g
Format:Häftad
Språk:Engelska
Serie:Chandos Information Professional Series
Antal sidor:284
Förlag:Elsevier Science
ISBN:9781843347514

Utforska kategorier

Referensverk och tvärvetenskap inom Samhälle och politik

Mer om författaren

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.

Innehållsförteckning

DedicationList of figures and tablesFiguresTables AcknowledgementsPrefaceAbout the author1: Introduction and case studyAbstractGeneral introductionSpace and knowledgeDimensions of knowledgeKnowledge representationA case study in socio-spatial changeOverview of the book 2: Innovation, agency and technologyAbstractSpatializing knowledgeSpace and innovationKnowledge as technologyKnowledge as innovationPatterns of innovationSpace, knowledge and powerConclusion 3: The dynamics of innovationAbstractThe social life of innovationRegional dynamicsComplexity and modularityPatterns of adoptionFlowsWavesBifurcationsCriticalityConclusion 4: Modelling knowledge dynamicsAbstractInformation and knowledgeEcologies of innovationEcologies of human developmentNetwork dynamicsNetwork graphsInnovation networksThe topology of regional knowledgeSystem dynamics of innovationsConclusion 5: Modelling socio-spatial agentsAbstractAgency and actionManifolds and messElements of agent behaviourAgency and autonomyCoalitions and decisionsResource allocationSearch and decision-makingModelling with gamesConclusion 6: Case studies in socio-spatial changeAbstractMicro-level socio-spatial change: slum sanitationMicro-level change agentsMeso-level socio-spatial change: remote long-term care servicesSocio-spatial inclusion and mobile platformsMeso-level knowledge integrationExo-level socio-spatial change: Arctic urbanizationExo-level instability and infrastructureAgency and adaptationDilemmas and homophilyBidding and votingKnowledge systemsConclusion 7: Reasoning with graphsAbstractRepresenting knowledge flowVisualization as science and artVisualizations as thought experimentsDrawing relationshipsLogic, symbols and computingComputing for simulationCommunity modelsSpatial distance functionsComplex data modellingSpatial data structuresSurface-network analysisConclusion 8: Decisions and argumentsAbstractConstructing knowledgeDecisions and representationExperience and argumentsBasics of argumentationArgumentation schemesDeriving argumentsApplying argumentationConclusion 9: Directions for adaptive planningAbstractPrinciples of adaptationAdaptation in human systemsManaging knowledge complexityDirections for planningDirections for researchPlanning with implicit knowledgeCalibrating modelsGeneral summaryGeneral conclusions GlossarySources for socio-spatial argumentationBibliographyIndex