Raymond Parks wrote: > Russell Standish suggested that one could specify large quantities of > similiar but not exactly the same agents: > > >> By setting their behaviour parameters from a probability distribution. >> > > But isn't this self-fulfilling? If you collect data about behaviours > to populate your probability distribution you will be programming your > agents to act the way you collected your data. If, by chance or design, > your data collection is biased, your agents will be biased. > Being distributions, the parameters (the mixing ratios of different kinds of agent behaviors) will have random peturbations around typical values and in a large or long enough run you'll witness the consequences of how this bias might play out at a global level.
The bigger the computers, the wider variances of agent mixes that can be measured. ============================================================ FRIAM Applied Complexity Group listserv Meets Fridays 9a-11:30 at cafe at St. John's College lectures, archives, unsubscribe, maps at http://www.friam.org
