Accessible Data Mining for Agent-Based Simulation Models

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...

Simulating Human Routines: Integrating Social Practice Theory in Agent-Based Models

Our routines play an important role in a wide range of social challenges such as climate change, disease outbreaks and coordinating the staff and patients of a hospital. Studying these systems via agent-based simulations (ABS) enables researchers to gain insight into complex aspects of these challenges such as human interaction, learning,...

Modeling and simulating a regenerative life support system to understand the effects of system interaction on survivability during deep space missions: An agent-based approach

To enable sustainable long-duration human space flight, regenerative life support systems (RLSS) will be indispensable. Waste materials will need to be processed and transformed back into nutrients for life-supporting ecosystems. MELiSSA (Micro-Ecological Life Support System Alternative) is a well-documented and studied example of such an...

Agent-Based Modelling of the Social Dynamics of Energy End-Use

Agent-based modelling and simulation is now accepted as a valuable tool for describing the dynamics of complex socio-technical systems, and for studying complex adaptive systems. This chapter surveys the opportunities and challenges in agent-based models (ABM) for the social dynamics of energy end use. Following an introduction to the...

Jumping to a better world: An agent-based exploration of criticality in low-carbon energy transitions

Understanding the possible transition pathways of the energy system requires the integration of human behaviour in energy system models. In order to model the influence of actor behaviour we have developed ACT (Agent-Based Model of Critical Transitions), an agent-based model inspired by an existing conceptualisation of critical transitions....

Agent-based modeling 2.0: Data-driven selection of model structure

Agent-based modeling is useful to simulate the human role in socio-technical systems. Thereby, the complexity of such systems can be captured. For instance, it has shown to be useful at simulating innovation in socio-technical systems. We develop a next step in which laborious model building is automated. We present a working example on...

Modeling safety culture as a socially emergent phenomenon: A case study in aircraft maintenance

Safety culture is often understood as encompassing organizational members’ shared attitudes, beliefs, perceptions and values associated with safety. Safety culture theory development is fraught with inconsistencies and superficiality of measurement methods, because the dynamic and political nature of culture is often ignored. Traditionally,...