A Geographic Automata Model of Residential Mobility

Torrens, Paul M.

doi:10.1068/b31070

Cited by 43 publications

(24 citation statements)

References 46 publications

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“…In tandem, other approaches were introduced to directly tackle the connections between agent behavior and regions, and focused largely on hierarchical choice dynamics that bundle regional objects and/or attributes for agents to consider (Torrens 2007b;Brown and Robinson 2006;Benenson et al 2002;Nara 2013, 2007). This class of ABM tasks itself with stringing causal chains between the small atoms of larger regional assemblies and the requirements for agency are therefore more demanding.…”

Section: Introductionmentioning

confidence: 99%

Exploring behavioral regions in agents’ mental maps

Torrens

2015

Ann Reg Sci

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Agent-based models continue to grow more sophisticated at the individual scale of regional science inquiry, but it remains difficult to ally the intricacies of individual behavior in those models to regional phenomena and processes in anything but a loose fashion, leaving explanatory pathways between the scales quite slack. In this paper, we present a mechanism for bridging the gap between individual agency and regional outcomes of that agency in simulation. We use agents to develop very rich behavioral understanding of their surroundings in simulation. We then sweep through the information that agents generate when determining how to execute their transition rules, using schemes that mine agent states to produce mental maps of varied aspects of their dynamics. From agents' mental maps, we define and visualize regions as geographies that are conjured from the unique, autonomous, local, and personal insight that agents can provide. We demonstrate the utility of the scheme, with application to indoor movement scenarios in which fleeting regions form amid agents interactions with each other and their built surroundings. Our approach is extensible beyond these applications and could be of broader use for other explorative scenarios in regional science."'Sometimes you repeat yourself, man.' 'It's in my nature '." (1984, p. 80) JEL Classification C63 · D81

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Section: Introductionmentioning

confidence: 99%

Exploring behavioral regions in agents’ mental maps

Torrens

2015

Ann Reg Sci

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“…ABM is employed to simulate the water consumption of an urban area and CA is used for simulating the spatial processes where the agents are living. ABM is an emerging approach to modelling complex processes and phenomena in the social sciences in recent years (Torrens and Benenson, 2005;Torrens, 2007;Batty et al, 1997). Being the basis of ABM, the definition of an agent is as summarized by Wooldridge and Jennings in 1995, "An agent is a computer system, situated in some environment, which is capable of flexible autonomous action in order to meet its design objectives."…”

Section: Introductionmentioning

confidence: 99%

Conceptual Research on Decision Making Meetings for Urban Water Management

2015

IRSPSD International

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Abstract:We will introduce an integrated model of Online Decision Making Meetings (ODMM) for sustainable management of water resources, which combines online meetings with an agent-based simulation function. This model is able to supply the decision makers with visualized simulation results of different policy scenarios and then support them to have online discussions, communication and make final decisions. The model consists of a remote server, a simulation model for background processing and clients. We assume that several departments related to water resource management will join this meeting and make proposals based on their data and policy. These departments are clients in our model and they are granted with special authority according to their departments. During an online meeting, the clients can choose global parameters for a simulation model that relates to their department based on their roles. Afterwards, simulations for different scenarios can be conducted by the model and the simulation results will be displayed for and visualized by the clients through the server on time. Thus, the government planners can easily view the simulation results regarding different policy scenarios using this tool, thereby making informed decisions and policy implementations. INTRODUCTIONBased on the development trend of information technology, we introduce a new planning support model in our present research. An integrated model of Online Decision Making Meetings (ODMM) for sustainable management of water resources was developed, which combined online meeting functions with agent-based simulation. This model was developed via online meeting technology and an Agent-Based Modeling (ABM) method. It aims at supporting water related policy making meetings for urban areas. We assume several water resource management related departments would participate in such a meeting, making proposals based on their data and policies. A web conferencing software named "TeamViewer" and decisionmaking support software developed upon "NetLogo" are integrated to develop a visible and easy-to-communicate environment.Water is one of the key resources for urban development. Since water is such an important resource for human life, different levels of government, from the United Nations and down to local government, must hold meetings 16

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“…At the same time, development of such a meta-model may also contribute to further development of complexity theory, as spatially explicit models of LUCC can embed complex processes (Crawford 2005;Malanson et al 2006b;Manson and O'Sullivan 2006). Land-use systems are ideal laboratories for exploring complexity resulting from fixed spatial relationships, relative success of various management strategies (Evans and Kelley 2004;Malanson, Zeng, and Walsh 2006a;Polhill, Parker, and Gotts 2008), spatial and temporal autocorrelation and path-dependence (Parker 1999;Brown, Page, Riolo, Zellner, and Rand 2005), and both upward and downward cross-scale feedbacks on emergent outcomes (Torrens 2007;Olson et al, 2008).…”

Section: Introductionmentioning

confidence: 99%

Case studies, cross-site comparisons, and the challenge of generalization: comparing agent-based models of land-use change in frontier regions

Parker

Entwisle²,

Rindfuss

et al. 2008

Journal of Land Use Science

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Cross-site comparisons of case studies have been identified as an important priority by the land-use science community. From an empirical perspective, such comparisons potentially allow generalizations that may contribute to production of global-scale land-use and land-cover change projections. From a theoretical perspective, such comparisons can inform development of a theory of land-use science by identifying potential hypotheses and supporting or refuting evidence. This paper undertakes a structured comparison of four case studies of land-use change in frontier regions that follow an agent-based modeling approach. Our hypothesis is that each case study represents a particular manifestation of a common process. Given differences in initial conditions among sites and the time at which the process is observed, actual mechanisms and outcomes are anticipated to differ substantially between sites. Our goal is to reveal both commonalities and differences among research sites, model implementations, and ultimately, conclusions derived from the modeling process.

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A Geographic Automata Model of Residential Mobility

Cited by 43 publications

References 46 publications

Exploring behavioral regions in agents’ mental maps

Exploring behavioral regions in agents’ mental maps

Conceptual Research on Decision Making Meetings for Urban Water Management

Case studies, cross-site comparisons, and the challenge of generalization: comparing agent-based models of land-use change in frontier regions

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