  In this second part of our two-part paper, we invoke the stochastic maximum
principle, conditional Hamiltonian and the coupled backward-forward stochastic
differential equations of the first part [1] to derive team optimal
decentralized strategies for distributed stochastic differential systems with
noiseless information structures. We present examples of such team games of
nonlinear as well as linear quadratic forms. In some cases we obtain closed
form expressions of the optimal decentralized strategies.
  Through the examples, we illustrate the effect of information signaling among
the decision makers in reducing the computational complexity of optimal
decentralized decision strategies.
