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

Centralized Versus Decentralized Team Games of Distributed Stochastic  Differential Decision Systems with Noiseless Information Structures-Part II:  Applications