HCMD-zero: Learning Value Aligned Mechanisms from Data. (arXiv:2202.10122v2 [cs.MA] UPDATED)

Artificial learning agents are mediating a larger and larger number of
interactions among humans, firms, and organizations, and the intersection
between mechanism design and machine learning has been heavily investigated in
recent years. However, mechanism design methods often make strong assumptions
on how participants behave (e.g. rationality), on the kind of knowledge
designers have access to a priori (e.g. access to strong baseline mechanisms),
or on what the goal of the mechanism should be (e.g. total welfare). Here we
introduce …

arxiv data learning value