Institutional Metaphors for Designing Large-Scale Distributed AI versus
  AI Techniques for Running Institutions
  Artificial Intelligence (AI) started out with an ambition to reproduce the
human mind, but, as the sheer scale of that ambition became manifest, it
quickly retreated into either studying specialized intelligent behaviours, or
proposing over-arching architectural concepts for interfacing specialized
intelligent behaviour components, conceived of as agents in a kind of
organization. This agent-based modeling paradigm, in turn, proves to have
interesting applications in understanding, simulating, and predicting the
behaviour of social and legal structures on an aggregate level. For these
reasons, this chapter examines a number of relevant cross-cutting concerns,
conceptualizations, modeling problems and design challenges in large-scale
distributed Artificial Intelligence, as well as in institutional systems, and
identifies potential grounds for novel advances.
