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A multinode model has either a random number generator provided via the field `rng`

of `qsmm_desc_s`

structure when creating the multinode model or an instance of default random number generator allocated automatically if that field was `NULL`

.
The environment state identification engine and instruction emitting engine use that random number generator.
The purpose of the following function is to obtain the random number generator of a multinode model.

- Function:
*qsmm_rng_t***qsmm_get_rng***(qsmm_t*`model`) This function returns the handle of a random number generator used by the environment state identification engine and instruction emitting engine of a multinode

`model`. The function never returns`NULL`

.

You can use the returned handle of a random number generator to seed the generator after creating the multinode model or model instance. See Random Number Generators, for how to seed a random number generator and perform other operations on it.

A useful approach to determine the amount of contribution of optimization mechanism provided by QSMM to the optimality of behavior of a multinode model is comparing a measure of optimality for this multinode model behaving adaptively versus a measure of optimality for this model behaving randomly. The greater the difference is between those values the more contribution the optimization mechanism provided by QSMM makes to the optimality of behavior of this multinode model.

Use the following function to switch the model instance to random or adaptive (normal) behavior mode.

- Function:
*int***qsmm_set_random***(qsmm_t*`model`, int`flag`) This function switches the current mode of behavior of instance of a multinode

`model`to random or adaptive (normal) mode. If`flag`is non-zero, the function switches the current mode to random mode. If`flag`is zero, the function switches the current mode to adaptive mode.The function is a short cut to setting the current mode of behavior for the environment state identification engine and instruction emitting engine of model instance by the function

`qsmm_set_actor_random`

.On success, the function returns a non-negative value. If the model instance does not exist, the function returns negative error code

`QSMM_ERR_UNTIMELY`

.

The function `qsmm_engine_create`

initializes the current mode of behavior of model instance to adaptive (normal) mode.