  Part 1 has studied the conversion of observed random process with its hidden
information to related dynamic process, applying entropy functional measure
(EF) of the random process and path functional information measure (IPF) of the
dynamic conversion process. The variation principle, satisfying the EF-IPF
equivalence along shortest path-trajectory, leads to information dual
complementary maxmin-minimax law, which creates mechanism of arising
information regularities from stochastic process(Lerner 2012). This Part 2
studies mechanism of cooperation of the observed multiple hidden information
process, which follows from the law and produces cooperative structures,
concurrently assembling in hierarchical information network (IN) and generating
the IN digital genetic code. We analyze the interactive information
contributions, information quality, inner time scale, information geometry of
the cooperative structures, evaluate curvature of these geometrical forms and
their cooperative information complexities. The law information mechanisms
operate in information observer. The observer, acting according the law,
selects random information, converts it in information dynamics, builds the IN
cooperatives, which generate the genetic code.
