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van Vliet, Kim (author)
The problem-solving approach to public regulation places new demands on regulatory agencies in terms of risk analysis: every regulatory problem that is to be solved demands a new, unique analysis to find effective intervention strategies. Many risk analysis tools are available to regulators, however, to date agent-based modelling has not been...
master thesis 2022
document
Faber, Robin (author)
Agent-based simulation models are rising in popularity recently due to their ability to model real-world problems in a wide range of domains. Inherent to these types of simulations is the fact that an enormous amount of data can be generated, which needs to be analysed in order to make the simulation useful. At the moment, the available tools to...
master thesis 2021
document
Ziengs, Bart (author)
The use of certain buyer strategies in the process of property bidding is being discovered in this paper. An Agent-based model is introduced where financial statistics are based on the Dutch housing market. Three types of agents are used in this model that uses cycles of two weeks. Thee hypotheses about the market are initially formulated. In...
bachelor thesis 2019
document
Jaxa-Rozen, M. (author), Kwakkel, J.H. (author), Bloemendal, Martin (author)
The modelling of social-ecological systems can provide useful insights into the interaction of social and environmental processes. However, quantitative social-ecological models should acknowledge the complexity and uncertainty of both underlying subsystems. For example, the agent-based models which are increasingly popular for groundwater...
journal article 2019
document
Jaxa-Rozen, M. (author), Kwakkel, J.H. (author)
Methods for testing and analyzing agent-based models have drawn increasing attention in the literature, in the context of efforts to establish standard frameworks for the development and documentation of models. This process can benefit from the use of established software environments for data analysis and visualization. For instance, the...
journal article 2018
document
Turi, D. (author)
In recent years the study of complex systems gained prominence. Since it is usually difficult to use classical mathematic models to understand these systems, scientists and engineers have to resort to simulations. Currently programming languages like CUDA C and OpenCL are available to run large scale simulations on a GPU architecture....
master thesis 2013
document
Van Berkel, S.E.F. (author)
In recent years, large-scale systems have become mainstream at a very high pace. Typical examples of large-scale systems are MANETs, Wireless Sensor Networks, Pervasive Computing, Swarm Robotics, etc. These systems distinguish them- selves by the large number of devices they embody, and emergent behaviors they exhibit: Behavior that is globally...
master thesis 2012
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