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Preface. | |
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Acknowledgements. | |
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Foreword. | |
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Introduction to urban Geosimulation. | |
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A new wave of urban geographic models is coming | |
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Defining urban Geosimulation | |
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Automata as a basis of Geosimulation | |
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High-resolution GIS as a driving force of Geosimulation | |
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The origins of support for Geosimulation | |
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Geosimulation of complex adaptive systems | |
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Book layout | |
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Formalizing Geosimulation with Geographic Automata Systems (GAS). | |
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Cellular Automata and Multi-Agent Systems - Unite! | |
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Geographic Automata Systems (GAS | |
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GAS as a tool for modelling Complex Adaptive Systems | |
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From Gas to software environment for urban modelling | |
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Object Based Environment for Urban Simulation (OBEUS) - a minimal implementation of GAS | |
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Universality of GAS | |
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Verifying GAS models | |
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System Theory, Geography, and Urban Modelling. | |
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The basic notions of system theory | |
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The 1960s, geography meets system theory | |
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'Stocks and flows' urban modelling | |
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Critics of comprehensive modelling | |
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What next? Geosimulation of collective dynamics! | |
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Modelling urban land usage with cellular automata. | |
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Introduction | |
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Cellular Automata as a framework for modelling complex spatial systems | |
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Urban Cellular Automata | |
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From Markov models to urban Cellular Automata | |
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Integration of the CA and Markov approaches at a regional level | |
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Conclusions | |
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Modelling Urban Dynamics with Multi-Agent Systems. | |
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Introduction | |
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MAS as a tool for modelling complex human-driven systems | |
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Interpreting agency | |
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Urban agents, urban agency, and multi-agent cities | |
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Agent behaviour in urban environments | |
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General models of agents' collectives in urban interpretation | |
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Abstract MAS models of urban phenomena | |
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Real-world agent-based simulations of urban phenomena | |
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MAS models as planning and assessment tools | |
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Conclusions | |
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Finale: Epistemology of Geosimulation. | |
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Universal questions | |
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The future of Geosimulation | |
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Bibliography. | |
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Index. | |