Flocks, herds and schools: A distributed behavioral model
SIGGRAPH '87 Proceedings of the 14th annual conference on Computer graphics and interactive techniques
Growing artificial societies: social science from the bottom up
Growing artificial societies: social science from the bottom up
Agent-Based Modelling — Intelligent Customer Relationship Management
BT Technology Journal
Diffusion of word-of-mouth in segmented society: agent-based simulation approach
AIS'04 Proceedings of the 13th international conference on AI, Simulation, and Planning in High Autonomy Systems
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Agent-based simulation is increasingly used to study systems in many areas of business and science. Using agent-based simulation for prediction could be very valuable. However, these models usually have a lot of parameters which are difficult to measure directly leading to uncertainty as to the best values to use. Obtaining the values for the parameters may require calibration of the model against observed historical output data. This type of problem is an inverse problem and there may be many sets of feasible parameter values giving a wide range of predictions. The work described here investigated the extent of this problem for a word of mouth consumer model.