The theory of fair division is concerned with finding ways to divide an object among n people fairly. There are many possible notions of fairness. The notion that has interested me recently is finding envy-free divisions, i.e., one in which each person feels she received the best piece, in her own estimation.
By contrast, I have been interested in developing approximate envy-free schemes, in particular, through the use of arguments from combinatorial topology (Sperner, Tucker, and generalizations). Such methods will find envy-free divisions up to a specified tolerance for error (such as at the level of crumbs), and have the advantage of (1) being easily generalized for arbitrary numbers of players, (2) using the minimal number of cuts, (3) for a fixed number of players and a fixed error, having a bounded number of steps in which the algorithm halts. My main inspiration and partner in this endeavor has been Forest Simmons. More recently, my students Elisha Peterson, Patrick Vinograd, and Karl Mahlburg have also been working with me.
To explore such algorithms, we have developed:
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A java applet for interactive
decision making to find envy-free divisions of goods, burdens, or rent. |
Comments? Write me, Francis Su,
at su@math.hmc.edu.
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Last modified: August 18, 1998