Simulation for the Social Scientist
Simulation for the Social Scientist
Unleashing the Idea Virus
Recent Developments in Computer Simulations of Language Competition
Computing in Science and Engineering
Small world network model of personal consumption: Demand-side management in an expert system
Expert Systems with Applications: An International Journal
Evaluation of environmental impact upon human health with DeciMaS framework
Expert Systems with Applications: An International Journal
BlogGrid: towards an efficient information pushing service on blogspace
GCC'05 Proceedings of the 4th international conference on Grid and Cooperative Computing
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Every day, consumers are exposed to advertising campaigns that attempt to influence their decisions and affect their behavior. Word-of-mouth communication—he informal channels of daily interactions among friends, relatives, coworkers, neighbors, and acquaintances—plays a much more significant role in how consumer behavior is shaped, fashion is introduced, and product reputation is built. Macrolevel simulations that include this kind of social parameter are usually limited to generalized, often simplistic assumptions. In an effort to represent the phenomenon in a semantically coherent way and model it more realistically, we developed an influence-diffusion mechanism that follows agent-based social simulation primitives. The model is realized as a multiagent software platform, which we call Dawn (for distributed agents for water simulation).