An agent-based model framework for understanding the decisions of households and exploring bottom-up effects on housing sustainability
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Some recent trends in distributed intelligent systems rely extensively on agent-based approaches. The so-called Multi Agent Systems (MAS) are taking over the management of sensitive data on behalf of their producers and users (e.g., medical records, financ ...
In this paper we demonstrate how agent-based modelling can be used to understand the emergence of a new infrastructure system, more specifically, a biogas infrastructure in the Netherlands. The innovative element in our modelling approach is the use of MAI ...
Within the frame of temporary events, having recourse to the model of the tent corresponds to usual experiences. When the model offers advantages of fast assembly and certain flexibility, it has some significant disadvantages at the same time, especially r ...
Within the frame of temporary events, having recourse to the model of the tent corresponds to usual experiences. When the model offers advantages of fast assembly and certain flexibility, it has some significant disadvantages at the same time, especially r ...
Housing plays a fundamental role in the transition towards a more sustainable society. In Switzerland, the unbalanced relationship between environmental, economic and social factors manifests itself in the current market trends of rental apartments, where ...
The collective dynamic behavior of large groups of interacting autonomous agents (swarms) have inspired much research in both fundamental and engineering sciences. It is now widely acknowledged that the intrinsic nonlinearities due to mutual interactions c ...
This article reports on the calibration and analysis of a fully disaggregate (agent-based) transport simulation for the metropolitan area of Zurich. The agent-based simulation goes beyond traditional transport models in that it equilibrates not only route ...
This thesis describes methods to model the land use component of an urban system. Specifi- cally, it proposes methods to model and simulate the location choice of agents (households or firms) and the formation of prices for real estate goods in a city. The ...
Sensing and monitoring of our natural environment are important for sustainability. As sensor systems grow to a large scale, it will become infeasible to place all sensors under centralized control. We investigate community sensing, where sensors are contr ...
The potential of agent-based modeling (ABM) has been demonstrated in various research fields. However, three major concerns limit the full exploitation of ABM; (i) agents are too simple and behave unrealistically without any empirical basis, (ii) 'proof of ...