Neural network and hybrid intelligent systems provide motivation for coordinated investigations with stochastic and logic models. Explanation for neural network responses is one aspect of the coordination. Others are derived from software engineering (e.g. logic specifications) and from the principal problem domain of the simulations, human behavior models: we seek to explore logic elements that the nets portray and to link our overall model program to overtures in conventional modeling. A new hypothesis on biological plausibility of ``small" rule based systems is a driving force in our deliberations. A rule-based system, implemented in Java, plays a complementary role and provides a potential avenue for building models reflecting any one or all neural, logic, and discrete-event mechanisms. All told, world views of PDP neural nets, Prolog, GPSS-H, and Java are integrated in a plexus of models and environment items that relate to our own previously published work on ``general purpose simulation environments." This paper complements another in this proceedings, on distributed (multi-worker) simulation, GPSS-H, and Java.