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refactor plans

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 * Basic functionality
 
-  * Why is the key for each experiment different?
   * ditch in-process dispatcher. unneccessary complexity.
   * Sweep and bootstrap param ranges
   * Revise the swappable evaluator function protocol to pass all state in -
 
   * Implement firm death?
   * Implement firm replacement?
-  * Simplify skill and culture values by restricting them to a smart range -
-    make the skill scalar be between zero and 1, and culture vector be binary
-    vector. Then the effectiveness can be based on a weighted geometric mean
-    of aggregate culture vector and mean skill.
-  * Groysberg's data is based on partial information?
+  * Groysberg's data is based on *partial* information?
   * Actual data parameters:
   
     * 20000 workers, 400 firms, ca. 30 timesteps (annual rankings)
     unknown "correct" mean culture vector, which firms may try to approximate.
     This has the potential for many local optima.
   * record aggregate per-firm culture vector value in logs
+  * Base effectiveness can be based on a weighted geometric mean of aggregate
+    culture vector and mean skill. (will need a more sophisticated version of
+    marginal utility ofa single firm)
 
 * Worker valuation
 
         plus continuous (profitability)
 
   * Can we, should we, get them to value workers for themselves versus
-    everyone else and bid accordingly?
+    everyone else and bid accordingly, i.e. strategically?
   * No firm-private information at the moment. Should this be an open-kimono
     sim? How do we get asymmetrical judgements then?
   * more complex schemes are alarming - we know the dimensionality of the
         equation)
       * raw info-theory one- we know how many bits there are to learn in each
         agent, so we can bound the convergence rate of the estimator if we
-        know model structure and it is mere parameter estimation
+        know model structure and it is mere parameter estimation. Can we bound
+        the estimation accuracy by considering approximation theory
       
   * real valuations would include the strategic component of the desirability
     of a worker to others (though a random bid in the tenable range is all I