Abstract
The most important building blocks of service systems are human beings. Because of the dynamic and heterogeneous interactions among human beings with their bounded rationality, a service system is recognized as a complex adaptive system to which quantitative scientific analysis is difficult to apply. In this chapter, we discuss a computational approach for such complex adaptive systems called agent-based simulation. Since the 1990s, agent-based simulation has gained significance as a tool to reproduce complex stock market interactions by modeling human traders as software agents. Computer scientists and social scientists are working together to model social systems with interacting heterogeneous agents and simulating their dynamic behaviors using computers. As our computational resources continue to grow rapidly, the application areas for agent-based simulations are spreading into areas of social science that overlap with SSME research. We will introduce several examples of agent-based simulations for marketing, for emissions trading, for communications, and for traffic systems and discuss the contributions of this scientific approach to the study of service systems.
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
