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Abstract: The central problem in computational mechanism
design is the tension between incentive compatibility and computational
efficiency. We establish the first significant approximability gap between
algorithms that are both truthful *and* computationally-efficient, and
algorithms that only achieve *one* of these two desiderata. This result
relies on a combination of *new techniques* from mechanism design theory,
combinatorics, and complexity theory. We extend this new machinery to
prove similar results for combinatorial auctions -- the paradigmatic problem
in computational mechanism design. In particular, we generalize the notion
of VC dimension to handle *k-tuples of disjoint sets,* and develop new
technologies for lower bounding this VC-dimension. We believe that these
are of independent interest.
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