By Ross S.M.
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6. 7. 8. 9. 10. Information theory, 10 (1972), 350–351; Engl. : 10 (1976), 281–282. Limit theorems, 20 (1975), 507–508; Engl. : 20 (1979), 152–153. Mathematical statistics, 15 (1974), 480–484; Engl. : 15 (1976), 721–725. Probability distributions, 21 (1975), 471–472; Engl. : 21 (1979), 66–69. Probability theory, 4 (1971), 540–543; Engl. : 4 (1973), 425–429. 1 (1976), 1364; Engl. : 24 (1980), 92. 1 (1976), 1255; Engl. : 24 (1980), 24. V. Prokhorov xxxvii ` Mathematical Encyclopedia. (Russian) In 5 volumes, Moscow: “Sovet.
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To model gossip, wouldn’t it be better to make the reward to agent i depend on the number of other agents who learn the item from agent i ? (Sect. t/ to agent i for information that i has possessed for time t, the function s. / not specified in advance but a component of strategy and hence with a Nash equilibrium value? 5 Conclusions As the list above suggests, we are only scratching the surface of a potentially large topic. In the usual setting of information communication networks, the goal is to communicate quickly, and our two basic examples (complete graph; nearestneighbor grid) are the extremes of rapid and slow communication.