During all the week, I have not had to endure one single poor, boring talk. There is real content and it is being delivered very well. The organizers also did their bit by providing lively formats. Third, there is a sense of direction.
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Our community aims for relevance, and rigour only in so far as it serves relevance, not for its own sake. In the mirror, we see a responsible teenager discipline, ready to take on the world.
It would be infeasible for me to try and summarise all the sessions that I have attended. Instead, let me share the meta-model of our discipline that presented itself to me on Friday see figure 1. The main message of this figure is that social simulation, as it appeared at SSC Stockholm, is a meeting place of three very different worlds:.
Not all researchers, nor all disciplines, have equal experience with all three worlds. You, reader, are probably drawn more to some than to others. But it is my conviction that we need all three to keep our discipline fruitful.
Also, that we social simulators have an essential contribution to make in creating our models. Notably, what we do is:. This last point deserves some thought, because we need an audience. In my view these worlds are still wide apart. Perhaps the emergence of the Web has, since the appearance of that book, tilted the balance even further in favour of data. Yet without theory, data is meaningless.
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He concluded p. It would appear that in this quote, Flaminio assumes that these observations are taken from real life. After SSC , however, I have become convinced that there is not necessarily unity between the world of stakeholders and experts on the one hand, and the world of surveys and experiments on the other. This article focuses on agent-based computational ABC modeling of social interaction.
It then considers how the ABC method differs from an earlier generation of modeling approaches, including game theory, equation-based models of computer simulation such as system dynamics , and multivariate linear models.
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It also discusses potential weaknesses of ABC modeling and proposes research strategies to address them. The article suggests that ABC modeling will lead to significant advances in the bottom-up approach to the study of social dynamics.
Hypothesis and Theory ARTICLE
Keywords: agent-based computational modeling , social interaction , social order , agents , methodological individualism , social life , game theory , computer simulation , system dynamics , social dynamics. Macy pioneered the use of agent-based models in sociology to explore the effects of heterogeneity, bounded rationality, and network structure on the dynamics and stability of social systems.
He is currently principal investigator for an NSF-supported team of social, information, and computer scientists who are building tools that will make the Internet archive accessible for research on social and information networks. He received his Ph. His general research interest concerns cooperation, social integration, and solidarity and how they are related to the structure and emergence of social networks.
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Social Research Update 6: Computer simulation of social processes