  One approach to achieving artificial general intelligence (AGI) is through
the emergence of complex structures and dynamic properties arising from
decentralized networks of interacting artificial intelligence (AI) agents.
Understanding the principles of consensus in societies and finding ways to make
consensus more reliable becomes critically important as connectivity and
interaction speed increase in modern distributed systems of hybrid collective
intelligences, which include both humans and computer systems. We propose a new
form of reputation-based consensus with greater resistance to reputation gaming
than current systems have. We discuss options for its implementation, and
provide initial practical results.
