  One way to mitigate the threat of infinite regress is by appeal to the fact that, while humans are more clever than today's robots, they still make mistakes (McDermott 1987). People often fail to foresee every consequence of their actions even though they lack none of the information required to derive those consequences, as any novice chess player can testify. Fodor asserts that “the frame problem goes very deep; it goes as deep as the analysis of rationality” (Fodor 1987). But the analysis of rationality can accommodate the boundedness of the computational resources available to derive relevant conclusions (Simon 1957; Russell &amp; Wefald 1991; Sperber &amp; Wilson 1996). Because it sometimes jumps to premature conclusions, bounded rationality is logically flawed, but no more so than human thinking. However, as Fodor points out, appealing to human limitations to justify the imposition of a heuristic boundary on the kind of information available to an inferential process does not in itself solve the epistemological frame problem (Fodor 2000, Ch.2; Fodor 2008, Ch.4; see also Chow 2013). This is because it neglects the issue of how the heuristic boundary is to be drawn, which is to say it fails to address the original question of how to specify what is and isn't relevant to the inferential process.