Early studies of brainstorming showed that individuals tend to generate more and better ideas than groups. But recent studies depict a more complex picture, reinforcing the need to better understand the interplay between individual and group ideation. Group influence can be one way to address the complex interplay between ideas in brainstorming. We define group influence as the degree to which ...

Agent-based simulations have produced a variety of interesting contributions to economic research in the past years. Nevertheless, the methodology of economic simulations in general and agent-based simulations in particular is still in question. This is due to the fact that simulations are conducted without considering the underlying theory and links to standard economic approaches. This paper ...

This paper proposes an agent-based model that combines both spot and balancing electricity markets. From this model, we develop a multi-agent simulation to study the integration of the consumers’ flexibility into the system. Our study identifies the conditions that real-time prices may lead to higher electricity costs, which in turn contradicts the usual claim that such a pricing scheme reduces...

NetworkThing [both PhysicalThings and SocialNetworks have a network structure. However, they can change their topology while remaining the same network – which a network considered as a

This paper describes an agent-based analysis approach to determine in which way a net zero house can be obtained. In particular, it addresses agent-based simulation to estimate annual energy usage for heating based on an air to water heat pump. Based on the introduced approach house owners will be able to decide on the specifications for further renewable energy production systems to be install...

The Behavior Action Simulation Platform (BASP) has been in existence since early 2000, when it was first applied to small-team reconnaissance scenarios for the United States Marine Corps. Since that time, BASP-based projects have seen research into new application areas, new modeling technologies and case study scenarios. The authors present some of these developments, including example models ...

Discrete-event simulation, which has largely grown out of modelling manufacturing systems, has increasingly been applied in the service sector. The approach, however, is not always appropriate for modelling service operations. In particular, it cannot help with detailed decisions about the layout of service operations in which the customers are present such as retail outlets and airports. An ad...

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An agent-based model, incorporating a small set of primarily agent-based variables, was designed to explain private land-use decision making. Agents are landowners, who allocate their labor and land for different uses in regular time intervals. The goal is to understand what kind of spatial patterns emerge from different agent characteristics, and decision and learning mechanisms. Landscapes pr...