Subjective-enumeration-algorithm (sea) adds a qualitative step to dmp. When each participant receives their equal share of the surplus (as per dmp), it is immediately redistributed to co-creators by the personal ratio each individual determines.
Basically, this is weighted money, where money is distributed according to the subjective evaluation of each individual. sea enables each individual to influence the flow of surplus money through them to reflect their personal values.
If Anna distributed her value as 7 to Barney and 3 to Charlie, and she received a surplus of £100 from dmp, £70 goes to Barney and £30 to Charlie. In turn, if Barney has distributed his evaluation as 5 to Anna and 5 to Charlie, his £100 surplus would be split £50 to Anna and £50 to Charlie. And if Charlie distributed his value as 2 to Anna and 8 to Barney, his dmp surplus would be split £20 to Anna and £80 to Barney. In the end, although each should get an equal £100, the distribution has been filtered through each individual’s sea values; in this case Anne gets £70, Barney gets £150 and Charlie gets £80.
There are several ways that people could monitor their subjective evaluation. A useful one is to evaluate each and everyone’s contribution as they happen. One easy procedure at the end of a meeting is to simply think of a number (0 to10) to express the value of that meeting. The running total and distribution of these subjective enumerations can be recorded as a numerical expression. When surplus is allocated, it is immediately distributed in the accumulated ratios with no extra thought applied.
The central benefit of sea is that the process of allocating money is divorced from the evaluation of value, much like mttp, freeing people to honestly evaluate others’ contributions relative to their own values. No argument, no fighting over who deserves what. In the above example, perhaps Barney was recognised for the greater input in the production of their picture. In this way, money finds itself arriving at people who exhibit the most value.
Check out this working sea sandpit on gdocs:
note: google page rank algorithm
If we wish to track subjective enumeration, google page rank algorithm may be a near-perfect off-the-shelf calculation, complete with arrays of adjacency functions as individuals rate one another. Consider the initial starting position:
(where V is the value of any person i at time 0, N the total number of people)
And the iterative equation which tends to a relative value of any person to any other person in the entity, much like google’s algorithm with a little minor tweaking, namely ∑V(Pj) :
(where V is the value of any person i, d is the “damping factor”, N the total number of people, M the set of people who evaluate person i, the value of person j at time t)
A fair starting point, and one which may not only interest google, but may also give some credence to the insight that mttp and eco^2 may provide a better economic structure than their current legal “incorporated company” since it is designed for networks. We may one day see google transform its entire operation through eco^2 protocols.
finally made a start to actually modelling this…
check out “giving 4” sheet
the google page rank is fairly simple to map across
since it is a matter of summing up values received to total values given by each person
the green experiments are more interesting and uncertain:
is there an algorithm to sum up the values of what is given…?
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