Agent Based Modeling (ABM)
Agent-based Modeling and Simulation of Biomolecular Reactions
... for modeling systems with either a few or a moderate number of factors and in which effects of interest tend to be sparse and linear or of ...using agent-based modeling (ABM) and to ...
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Agent Based Modeling: An Application to Natural Resource Management
... Our agent-based model is more focused on optimizing resources available in a spatial domain in order to intensify the benefits that a diversified industry would bring to the ...the ABM, the NetLogo ...
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A simulation of contract farming using agent based modeling
... ABSTRACT: This study aims to simulate the effects of contract farming and farmer commitment to contract farming on supply chain performance by using agent based modeling as a methodology. Sup- ply ...
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Agent-based Modeling: A Guide for Social Psychologists
... Agent-based modeling is a longstanding but under-used method that allows researchers to simulate artificial worlds for hypothesis testing and theory ...building. Agent-based models ...
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Agent-Based Modeling Demonstrates How Local Chemotactic Behavior Can Shape Biofilm Architecture
... used agent-based modeling to explore whether local cellular interactions were sufficient to give rise to global structural features of ...this modeling, we modified an existing platform, ...
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The Study of CO Symptoms' Impacts on Individuals, Using GIS and Agent-based Modeling (ABM)
... mathematical modeling and multivariate regression such as Land Use Regression (LUR) (Habermann et ...dynamic modeling methods like agent-based modeling, spatial time model, ...
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An agent operationalization approach for context specific agent-based modeling
... of ABM for addressing a wide range of research question in social sciences is undoubted, there is a growing appreciation that there is a need for addressing problems more relevant to the real world (Matthews et ...
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New Perspectives on Institutionalist Pattern Modeling: Systemism, Complexity, and Agent Based Modeling
... their ABM helped them identify a surprisingly easy, but very effective decision procedure (Hodgson and Knudson 2004, ...their ABM, Hodgson and Knudson (2004) were also able to study what happens if habit is ...
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Agent-based modeling of competence phenotype switching in Bacillus subtilis
... the ABM, we explicitly represented proteins, genes, transcripts, and ribosomes as agents that could move and interact in a simulated cellular ...proteins. Agent movement was based on Brownian motion ...
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A coupled modeling framework for sustainable watershed management in transboundary river basins
... system modeling through explicit modeling of both natural and human behavior can help reveal the recipro- cal interactions and co-evolution of the natural and human ...ized agent-based ...
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1 An agent-based modeling framework for simulating
... - Offer an overview of group exposure - Produce relative comparison of sub- group’s exposures - Suitable in large scale and outdoor exposure - Result is a population or area associated with certain stressor concentration ...
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Application of Agent Based Modeling to Insurance Cycles
... searches, based on an aspiration target which involves an average of past performance, can approximate optimal stopping ...rule based on deviations from a target can lead to robust contribution rules for a ...
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Algorithms for Trade Modeling with Agent-Based Systems
... individuals based on direct interactions between them and their interaction with the environment in which they ..."equations- based modeling" that uses differential equations to describe the ...
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Agent based modeling of language evolution
... This model was implemented with the aim to reproduce Lipowska’s results. She argues that her model is fairly robust to both population size and her given arguments; however, our experiments do not support this: as the ...
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Using Intelligent Agents for Building Evacuation: A UML Approach
... multi agent system has been used which consist of number of agents which interact with one another it is a loosely coupled network of problem solvers that interact with each other to solve a problem that are ...
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Toward optimal implementation of cancer prevention and control programs in public health: a study protocol on mis-implementation
... Agent-based modeling will allow the study team to explore how mis-implementation emerges through inter- actions between individuals who are situated within pub- lic health ...
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Business ecosystem modeling- the hybrid of system modeling and ecological modeling: an application of the smart grid
... Besides agent-based modeling, there is an increase in applying multi-agent simulation in ecology due to the growth in CPU ...multiple agent interactions (Huhns and Ste- phens 1999). ...
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Bit Rate Maximising Per-Tone Equalisation with Adaptive Implementation for DMT-Based Systems
... DMT- based system consists of an adaptive (real) time-domain equaliser (TEQ) which shortens the convolutional result of TEQ and channel impulse response ...
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Situation awareness modeling for emergency management on offshore platforms
... Yang et al. [71] develop a probabilistic model for robots to decide about a role that otherwise would have been fulfilled by a human had there been the same situation. Situations are classified here as: easy, medium, and ...
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Agent-based (BDI) modeling for automation of penetration testing
... Xue Qiu et al. [6] proposed an automated method of penetration testing named AEPT (automata model of penetration testing) based on a four-stage model of penetration testing. They defined testing time, target, ...
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