In: Lecture Notes in Computer Science Ser. v.10051
Intro -- Preface -- References -- Organization -- Contents -- Urban Systems Modelling -- Towards an Agent-Based Simulation of Housing in Urban Beirut -- 1 Introduction -- 2 Background and Related Work -- 3 Abstract Model -- 3.1 Locations: City Structure and Economic Dynamics -- 3.2 Agents: Residential Mobility and Cultural Exchange -- 4 Exploratory Results -- 4.1 Experiment 1: Impact of Refugee Influx -- 4.2 Experiment 2: Impact of Ongoing Migration -- 4.3 Experiment 3: Interventions -- 5 Summary and Future Work -- References -- Simulating Urban Growth with Raster and Vector Models: A Case Study for the City of Can Tho, Vietnam -- 1 Introduction -- 2 State of the Art of Urban Growth Models -- 3 Case Study: The City of Can Tho -- 3.1 The City of Can Tho -- 3.2 The 2020 Local Urban Masterplan of Can Tho City -- 3.3 Description of Data -- 4 Raster Model -- 4.1 Model Description -- 4.2 Model Dynamics -- 4.3 Results -- 4.4 Model Calibration -- 5 Vector Model -- 5.1 Hypotheses (based on ) -- 5.2 Model Description -- 5.3 Model Dynamics -- 5.4 Results -- 5.5 Calibration and Validation of the Models on Can Tho Data -- 6 Comparison and Discussion -- 7 Conclusion -- References -- Integrating Behavior and Microsimulation Models -- 1 Introduction -- 2 The Scenario: Modeling the Aftermath of a Disaster -- 3 Behavior Models -- 3.1 Health Behavior Models -- 3.2 Belief-Desire-Intention Model -- 3.3 Cognitive Architectures -- 3.4 Reinforcement Learning-Based Models -- 4 Agent Design and Behavior -- 4.1 The Synthetic Population -- 4.2 Integrating the Behavior and Microsimulation Models -- 4.3 Experiments and Results -- 5 Conclusion -- References -- Agent-Based Modelling for Urban Planning Current Limitations and Future Trends -- 1 Introduction -- 2 Current Limitations in Urban Modelling -- 3 Key Challenges for Urban Modelling.
In: Lecture Notes in Artificial Intelligence 10051. Subseries of Lecture Notes in Computer Science
In: Lecture notes in artificial intelligence
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