System and method for performing compound computational experiments

A system for performing compound computational experiments, comprising:

• a first plurality of experiments, each of said first plurality of experiments including at least one of a set of sub-models, each sub-model responsive to a set of input objects to produce a set of output objects, each sub-model adapted to apply a unique set of functions to input objects;
• a generator automating the performance of said first plurality of experiments to produce a first group of sets of output objects, said generator automatically generating a set of input objects for use by each of said first plurality of experiments, said generator providing one of said set of sub-models for use by each of said first plurality of experiments;
• and
• a display presenting an interpretation of at least a portion of said first group of sets of output objects, said display responsive to user input to alter said interpretation, to present an interpretation of a different portion of said group of sets of output objects, or to cause said generator to perform a second plurality of experiments.

A method of performing compound computational experiments, comprising:

• automatically performing a first plurality of experiments, each of said first plurality of experiments including a process responsive to a set of input objects to produce a set of output objects;
• automatically varying sets of input objects for a plurality of said processes;
• storing each of said sets of output objects as a first group of sets of output objects;
• presenting an interpretation of a portion of said first group of sets of output objects;
• and
• responding to user input by altering said interpretation, by presenting an interpretation of a second portion of said first group of sets of output objects or by performing a second plurality of experiments.

A process for performing a compound computational experiment, comprising:

• automatically performing a first plurality of experiments to produce a first group of sets of output objects, each of said first plurality of experiments including at least one of a set of sub-models, each sub-model responsive to a set of input objects to produce a set of output objects, each sub-model adapted to apply a unique set of functions to input objects;
• generating a set of input objects for use by each of said first plurality of experiments;
• providing one of said set of sub-models for use by each of said first plurality of experiments;
• presenting an interpretation of at least a portion of said first group of sets of output objects;
• and
• responding to user input to alter said interpretation, to present an interpretation of a different portion of said group of sets of output objects, or to perform a second plurality of experiments.

A method of performing compound computational experiments, comprising:

• a step for performing a first plurality of experiments to produce a first group of sets of output objects;
• a step for automatically generating input objects used by each of said first plurality of experiments;
• a step for automatically varying some of said input objects;
• a step for selecting and providing a model used by each of said first plurality of experiments, said model affecting the manner in which a respective one of said first plurality of experiments responds to input objects;
• a step for presenting a plotted representation of at least one dimension of a first set of said first plurality of experiments;
• a step for associating a value with an unplotted dimension of said first set of said first plurality of experiments;
• a step for producing a second group of sets of output objects by performing a second plurality of experiments using a substantial equivalent of said value in input objects associated with said unplotted dimension;
• and
• a step for presenting a plotted representation of at least one dimension of said second plurality of experiments using said second group of sets of output objects.

A method of performing compound computational experiments, comprising:

• a step for performing a first plurality of experiments to produce a first group of sets of output objects;
• a step for automatically generating input objects used by each of said first plurality of experiments;
• a step for automatically varying some of said input objects;
• a step for selecting and providing a model used by each of said first plurality of experiments, said model affecting the manner in which a respective one of said first plurality of experiments responds to input objects;
• a step for presenting a plotted representation of at least one dimension of a first set of said first plurality of experiments;
• a step for associating a value with an unplotted dimension of said first set of said first plurality of experiments;
• a step for identifying a second group of sets of output objects produced by a second set of said first plurality of experiments performed using a substantial equivalent of said value in input objects associated with said unplotted dimension;
• and
• a step for presenting a plotted representation of at least one dimension of said first plurality of experiments using said second group of sets of output objects.