{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,5,20]],"date-time":"2026-05-20T20:18:00Z","timestamp":1779308280836,"version":"3.51.4"},"reference-count":21,"publisher":"World Scientific Pub Co Pte Ltd","issue":"02","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Int. Game Theory Rev."],"published-print":{"date-parts":[[2007,6]]},"abstract":"<jats:p>I study the robustness of Rubinstein's (1989) E-Mail Game results by varying the information that players can utilize. The article follows one of Morris' (2002) reactions to the E-Mail game \"that one should try to come up with a model of boundedly rational behavior that delivers predictions that are insensitive to whether there is common knowledge or a large number of levels of knowledge\". Players in my model are presumed to use 'rough inductive reasoning' because they cannot utilize exact information.<\/jats:p><jats:p>The information structure in the E-Mail game is generalized and the conditions are characterized under which Rubinstein's results hold. I find that rough inductive reasoning generates a payoff dominant equilibrium where the expected payoffs change continuously (instead of discretely) in the probability of \"faulty\" communication.<\/jats:p>","DOI":"10.1142\/s0219198907001424","type":"journal-article","created":{"date-parts":[[2007,7,27]],"date-time":"2007-07-27T00:58:18Z","timestamp":1185497898000},"page":"323-339","source":"Crossref","is-referenced-by-count":3,"title":["THE E-MAIL GAME REVISITED \u2014 MODELING ROUGH INDUCTIVE REASONING"],"prefix":"10.1142","volume":"09","author":[{"given":"UWE","family":"DULLECK","sequence":"first","affiliation":[{"name":"School of Economics and Finance, Queensland University of Technology, GPO Box 2434, Brisbane QLD 4001, Australia"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"219","published-online":{"date-parts":[[2011,11,20]]},"reference":[{"key":"rf1","unstructured":"W.\u00a0Albers and G.\u00a0Albers, Decision Making Under Uncertainty, ed. R. 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