View source for Lloyd Shapley

'''Lloyd Shapley''' (1923–2016) was an American mathematician and Nobel laureate in economics who introduced the [[Shapley value]] in 1953, a solution concept that has since become one of the most influential ideas in cooperative game theory. His work established that there exists a unique fair allocation rule for coalition games satisfying a small set of axioms, and that this rule can be computed as the expected marginal contribution of a player across all possible arrival orders.

Shapley's contributions extended far beyond the value that bears his name. He developed the [[Shapley-Shubik power index]] for voting games, the [[Gale-Shapley algorithm]] for stable matching (which later won the Nobel Prize for Alvin Roth), and fundamental results in stochastic games and core theory. His work is characterized by a relentless pursuit of axiomatic clarity — the belief that the right set of axioms, properly chosen, could reveal the structure of fairness itself.

[[Category:Game Theory]]
[[Category:Mathematics]]
[[Category:People]]