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Modeling Diabetes Risk and Progression With Public Health Data: Ontology-Guided, Simulation-Capable Digital Twin Study. [PDF]
Li Q, Amat KR, Johnson EL, Li J.
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Evaluating select factors and mechanisms influencing meat consumption in Baltimore City: an agent-based modeling study. [PDF]
Misiaszek C +10 more
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Directional motion of a self-steering active intruder in a dense crowd of cognitive active agents. [PDF]
Kushwaha VK +3 more
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Ecosystem simulation: the software to platform leap. [PDF]
Liu Z +5 more
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Agent-Based Social Simulation and Modeling in Social Computing
Lecture Notes in Computer Science, 2008Agent-based social simulation (ABSS) as a main computational approach to social simulation has attracted increasing attention in the field of social computing. With the development of computer and information technologies, many new ABSS approaches have been proposed with wide application.. In this paper, we aim at reviewing research and applications of
Fei-Yue Wang, Wenji Mao, Li Xiaochen
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Multi Agent Based Simulation: Beyond Social Simulation
Lecture Notes in Computer Science, 2000Multi Agent Based Simulation (MABS) has been used mostly in purely social contexts. However, compared to other approaches, e.g., traditional discrete event simulation, object-oriented simulation and dynamic micro simulation, MABS has a number of interesting properties which makes it useful also for other domains.
Paul Davidsson, Davidsson Paul
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Agent-based modelling and simulation for the analysis of social patterns
Pattern Recognition Letters, 2008Agent-based modelling facilitates the implementation of tools for the analysis of social patterns. This comes from the fact that agent related concepts allow the representation of organizational and behavioural aspects of individuals in a society and their interactions.
Samer Hassan, Juan Pavon
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Agent-Based Social Simulation in Markets
Electronic Commerce Research, 2001zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Koen Bertels, Magnus Boman
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Agent-Based Social Simulation and PSO
2013Consumer's behavior can be modeled using a utility function that allows for measuring the $emphsuccess of an individual's decision, which consists of a tuple of goods an individual would like to buy and the hours of work necessary to pay for this purchase and consumption.
Janecek, Andreas +2 more
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