--Doug
--
Doug Roberts, RTI International
[EMAIL PROTECTED]
[EMAIL PROTECTED]
505-455-7333 - Office
505-670-8195 - Cell
On 10/9/06, Marcus G. Daniels <[EMAIL PROTECTED]> wrote:
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.
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