New Approach to Design the Knowledge Based Urban Development (KBUD) Using Agent Based Modeling

2013 ◽  
Keyword(s):  
Urban Development ◽  
Agent Based Modeling ◽  
New Approach ◽  
Agent Based ◽  
Knowledge Based

Modeling Multiparty Competition

2017 ◽  
Author(s):  
Michael Laver ◽  
Ernest Sergenti
Keyword(s):  
Decision Making ◽  
Adaptive Learning ◽  
Party System ◽  
Decision Rules ◽  
Agent Based Modeling ◽  
Party Competition ◽  
Strategic Analysis ◽  
New Approach ◽  
Agent Based ◽  
Autonomous Decision

This chapter begins with a brief discussion of the need for a new approach to modeling party competition. It then makes a case for the use of agent-based modeling to study multiparty competition in an evolving dynamic party system, given the analytical intractability of the decision-making environment, and the resulting need for real politicians to rely on informal decision rules. Agent-based models (ABMs) are “bottom-up” models that typically assume settings with a fairly large number of autonomous decision-making agents. Each agent uses some well-specified decision rule to choose actions, and there may be considerable diversity in the decision rules used by different agents. Given the analytical intractability of the decision-making environment, the decision rules that are specified and investigated in ABMs are typically based on adaptive learning rather than forward-looking strategic analysis, and agents are assumed to have bounded rather than perfect rationality. An overview of the subsequent chapters is also presented.

scholarly journals Agent-Based Modeling of the Formation and Prevention of Residential Diffusion on Urban Edges

2021 ◽  
Vol 13 (22) ◽  
pp. 12500
Author(s):  
Hideyuki Nagai ◽  
Setsuya Kurahashi
Keyword(s):  
Urban Development ◽  
Agent Based Modeling ◽  
Trade Off ◽  
Agent Based ◽  
Urban Dynamics ◽  
Human Interactions ◽  
Sustainable Urbanization ◽  
New Perspective ◽  
The Relationship ◽  
Daily Travel

This paper presents an exploratory urban dynamics agent-based model (ABM) that simulates the relationship between the introduction of a hub facility open to residents, the interaction promotion around it, and transport policies on the sustainability of urban development through the autonomous actions of individual residents. By contrasting the model results with theoretical and empirical insights from actual cities, the validity of modeling the formation of residential diffusion on urban edges based on individual gain-maximizing daily travel and residential relocation is explained. The major contribution of the model is that it offers a new perspective on the bottom-up control of residential diffusion on urban edges, with benefits for productive human interactions at the microscale. Specifically, the model experimentally suggests the existence of a trade-off between increasing human interactions, through the introduction of an open hub attracting diverse activities and promotion of interaction around it, as well as the progression of residential diffusion. The model also suggests that the direction of urbanization is the result of collective action, and sustainable urbanization may be achieved through concerted efforts.

Agent-Based Modeling for Urban Development Planning based on Human Needs. Conceptual Basis and Model Formulation

2021 ◽  
Vol 101 ◽  
pp. 105110
Author(s):  
Mauricio González-Méndez ◽  
Camilo Olaya ◽  
Isidoro Fasolino ◽  
Michele Grimaldi ◽  
Nelson Obregón
Keyword(s):  
Urban Development ◽  
Development Planning ◽  
Agent Based Modeling ◽  
Conceptual Basis ◽  
Model Formulation ◽  
Agent Based ◽  
Human Needs

scholarly journals Exploring Creativity and Urban Development with Agent-Based Modeling

2015 ◽  
Vol 18 (2) ◽  
Author(s):  
Ammar Malik ◽  
Andrew Crooks ◽  
Hilton Root ◽  
Melanie Swartz
Keyword(s):  
Urban Development ◽  
Agent Based Modeling ◽  
Agent Based
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