| Abstract |
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| 1.Introduction |
| 1.1. Models in Space and Time |
| 1.2. Scales and Representations of Models in Space and Time |
| 1.3. Objective |
| 1.4. Method |
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| 2. Cellular Automata and Agent-based Models - A Theoretical Framework |
| 2.1. General |
| 2.2. Overview of Cellular Automata |
| 2.3. Agents from Artificial Intelligence |
| 2.4. Classification of Agents |
| 2.5. Tools for Agent - based Modeling |
| 2.6. CA and Agent-based Models as Distributed Simulation Systems |
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| 3. Development of the Integration Framework for CA and Agent-based Models |
| 3.1. The Agent-Based Cellular Automata (ABCA): Combining CA and Agent-based Models |
| 3.2. Agent-based Models as Geographic Objects |
| 3.3. Agent-based Models and Simulation Time |
| 3.4. Formalism of the Agent-based Cellular Automata |
| 3.5. Agent Action in Cellular Space and Discrete Time |
| 3.6. Scope and Limitations |
| 3.7. The High Level Architecture |
| 3.8. The Spatial and Temporal Synchronization |
| 3.8.1. Geo-Spatial Analyser (GSA) |
| 3.9. Application Scenario |
| 3.10. Interoperability of the ABCA Framework |
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4. Application of Framework for Simulating Urban Sprawl |
| 4.1. Dynamics of Urban Sprawl |
| 4.1.1. Forms of Sprawl |
| 4.1.2. Description of Study Area – The Mangalore City |
| 4.1.3. Data Collection |
| 4.2. Abstraction of the CA Model for Urban Sprawl Dynamics |
| 4.2.1. Analysing Urban Sprawl |
| 4.2.2. Population Growth and Built - up Area |
| 4.2.3. Modelling Urban Sprawl |
| 4.2.4. Prediction of Urban Sprawl |
| 4.2.5. Multi-criteria Evaluation for Land Suitability |
| 4.2.6. The CA Transition Rules |
| 4.3. Agent - based Models in Simulating Urban Sprawl |
| 4.3.1. Agents in the Simulation Framework |
| 4.3.2. Agents in the Geo - spatial Domain |
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| 5. Implementation , Calibration and Validation of Simulations |
| 5.1. Implementations of Agent - based Models for Simulating Urban Sprawl |
| 5.1.1. Agent-based Modelling Using the Tool – NetLogo |
| 5.1.2. Agent-based Modelling using the Agent - Builder Interface |
| 5.1.3. Rules for Agent Behaviour |
| 5.2. Calibration and Validation |
| 5.2.1. Calibration of the CA model |
| 5.3. Simulation Results and Discussion |
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6. Conclusions and Scope for Further Research . |
| 6.1. Conclusions |
| 6.2. Scope for Further Research |
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| 7. References |
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| Appendix 1: The High Level Architecture |
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| List of Figures |
| List of Tables |
| Acknowledgements |
