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'''Computational representational understanding of mind''' (abbreviated CRUM) is an [[hypothesis]] in [[cognitive science]] which proposes that thinking is performed by [[computations]] operating on representations. This hypothesis assumes that the mind has [[mental representations]] analogous to [[data structures]] and computational procedures analogous to [[algorithms]], such that computer programs using algorithms applied to data structures can model the mind and its processes.
CRUM takes into consideration several theoretical approaches of understanding human [[cognition]], including [[logic]], [[:wikt:rule|rule]], [[concept]], [[analogy]], image, and connection based systems. These serve as the representation aspects of CRUM theory which are then acted upon to simulate certain aspects of human cognition, such as the use of [[rule-based systems]] in [[neuroeconomics]].
There is much disagreement on this hypothesis, but CRUM has been ''the most theoretically and experimentally successful approach to mind ever developed'' ([[Paul Thagard]], 2005).
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