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. 2018 Jan 16;9:233. doi: 10.1038/s41467-017-02597-8

Fig. 7.

Fig. 7

Comparisons of people and algorithms with respect to various characteristics. a Empirically generated cumulative-distribution functions describing the number of rounds required for pairings to experience two consecutive rounds of mutual cooperation across three games (Chicken, Alternator Game, and Prisoner’s Dilemma). Per-game results are provided in Supplementary Note 7. For machine–machine pairings, the results are obtained from 50 trials conducted in each game, whereas pairings with humans use results from a total of 36 different pairings each. b The percentage of partnerships for each pairing that did not deviate from mutual cooperation once the players experienced two consecutive rounds of mutual cooperation across the same three repeated games. c A comparison of algorithms with respect to the ability to form profitable relationships across different games (Generality) and with different associates (Flexibility). Generality was computed as the percentage of game types (defined by payoff family × game length) for which an algorithm obtained the highest or second highest average payoffs compared to all 25 algorithms tested. Flexibility was computed as the percentage of associates against which an algorithm had the highest or second highest average payoff compared to all algorithms tested. See Supplementary Note 3 for details about each metric