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Agent-based modeling and simulation (ABMS) is a new approach to modeling systems comprised of autonomous, interacting agents. Computational advances have made possible a growing number of agent-based models across a variety of application domains. Applications range from modeling agent behavior in the stock market, supply chains, and consumer markets, to predicting the spread of epidemics, mitigating...
Inspired by the El Farol bar problem, this paper puts forward a country fair problem. Agents take different actions in the two problems: they prefer to stay at the minority side in the bar problem, while they prefer to stay at the majority side in this fair problem. These lead to different emergent phenomena under these two models: self destroying of expectation and self fulfillment of expectation...
This paper attempts to explain behavioural patterns of signallers, emergency controllers, and other users in railway control centres by analysing observational record. By applying inductive reasoning it describes work patterns that have emerged in railway control centres in order to deal with high volumes of traffic and critical situations. Factors that affect human performance when interacting with...
Deciding which technology to invest in is a recurring issue for technology managers, and the ability to successfully identify the right technology can be a make or break decision for a company. The effects of globalisation have made this issue even more imperative. Not only do companies have to be competitive by global standards but increasingly they have to source technological capabilities from...
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