Agent-based modeling (ABM) is a novel computational methodology for representing the
behavior of individuals in order to study social phenomena. Its use is rapidly growing in …

With the aim of building realistic model of social systems, designers of agent-based models
tend to incorporate more and more data and this data is of course having an impact on their …

Agent-based modeling and simulation (ABMS) methods have been applied in a spectrum of
research domains. This primer focuses on ABMS in the transportation interdisciplinary …

Consumer markets have been studied in great depth, and many techniques have been used
to represent them. These have included regression‐based models, logit models, and …

Electronic tags, usually referred as RFIDs, sensors, wireless VoIP terminals are likely to
create a technological and cultural revolution similar to the one initiated by the Internet …

Agent-based modeling has proven to be a useful simulation tool in marketing to analyze
what-if scenarios and support strategic marketing decisions. Over the years, the field has …

Market members interact within a complex, adaptive system to effect adoption decisions and
the resulting diffusion of innovations. Agent-based modeling (ABM) is a methodology well …

E-commerce is one of the fastest changing industries and consumers try to purchase most of
the goods online. Following the internet revolution, retail and promotion, daily data …

Page 1 Innovatives Markenmanagement -sg. CSOO Burmann und Manfred Chgeog
Christian FeCCersen Repositionierung von Marken Ein agentenbasiertes …

Simulating human activities remains a challenging problem because the decision-making
mechanisms underlying these activities are difficult to reproduce and mimic. In this article …