 For Wheeler and others, classical AI and cognitive science rest on Cartesian assumptions that need to be overthrown in favour of a more Heideggerian stance before the frame problem can be overcome (Dreyfus 2008; Wheeler 2005; 2008; Rietveld 2012).  According to Wheeler (2005; 2008), the situated robotics movement in AI that originated with the work of Brooks (1991) exemplifies the right way to go.  Dreyfus is in partial agreement, but contends that the early products of situated robotics “finesse rather than solve the frame problem” because “Brooks's robots respond only to fixed isolable features of the environment, not to context or changing significance” (Dreyfus 2008, 335).  Dreyfus regards the neurodynamics work of Freeman (2000) as a better foundation for the sort of Heideggerian approach to AI in which the frame problem might be dissolved (see also Shanahan 2010, Ch.5; Rietveld 2012; Bruineberg &amp; Rietveld 2014). Dreyfus is impressed by Freeman's approach because the neurodynamical record of significance is neither a representation nor an association, but (in dynamical systems terms) “a repertoire of attractors” that classify possible responses, “the attractors themselves being the product of past experience” (Dreyfus 2008, 354).