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add Monte-Carlo simulation support and parameter estimation #26

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@7yl4r

Constants such as those in the agent 'personality' should support uncertainty values.

Example:

constant_low_estimate  = 1
constant_high_estimate = 10

A Monte-Carlo simulation can then compute many agents with a normal distribution of constant ranging between 1 and 10 to provide a nice range of expected behaviors.

A simple class for estimated constants should probably be formed and used for this purpose. This blog post may be useful.

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  1. ljaimes commented on Nov 15, 2013

    @ljaimes

    This Monte Carlo test sound so interesting, I see this test everywhere, in
    fact, we might need it in our prediction work

    On Thursday, November 14, 2013, Tylar wrote:

    Constants such as those in the agent 'personality' should support
    uncertainty values.

    Example:

    constant_low_estimate = 1constant_high_estimate = 10

    A Monte-Carlo simulation can then compute many agents with a normal
    distribution of constant ranging between 1 and 10 to provide a nice range
    of expected behaviors.

    A simple class for estimated constants should probably be formed and used
    for this purpose.

    —
    Reply to this email directly or view it on GitHubhttps://github.com//issues/26
    .

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