Guidance system

A computer program readable by a machine, tangibly embodying a program of instructions executable by a machine to perform system steps for effecting computer implemented decision support, the system comprising the steps of:

• 1) collecting within a Feature Map information relevant to a specified problem;
• 2) selecting and ordering rules for generating solutions to the specified problem, via a learning Classifier;
• 3) dynamically interacting with the at least one of selectable candidate solutions for generating a refined set of candidate solutions;
• and,
• 4) outputting or communicating the at least one selectable candidate solution to an appropriate displaying device or agent requiring solutions input.

A computer program readable by a machine, tangibly embodying a program of instructions executable by a machine to perform system steps for effecting computer implemented decision support, the system comprising the steps of:

• 1) collecting within a Feature Map information relevant to a specified problem;
• 2) selecting and ordering rules for generating solutions to the specified problem, via a learning Classifier;
• 3) dynamically interacting with the at least one of selectable candidate solutions for generating a refined set of candidate solutions;
• 4) evolutionarily iterating said solutions until a final decisive solution is reached;
• and,
• 5) outputting or communicating the at least one selectable candidate solution to an appropriate displaying device or agent requiring solutions input.

A computer implemented rules-based method for effecting decision support, the method comprising:

• 1) constructing a Feature Map comprising information relevant to a specified problem;
• 2) utilizing a learning Classifier to select and order rules for generating solutions to the specified problem, based on input from said Feature Map;
• 3) dynamically interacting with the at least one of selectable candidate solutions for generating a refined set of candidate solutions;
• and,
• 4) outputting or communicating the at least one selectable candidate solution to an appropriate displaying device or agent requiring solutions input.

A method employing a computer program readable by a machine, tangibly embodying a program of instructions executable by a machine to perform system steps for effecting computer implemented decision support, the method comprising the steps of:

• 1) collecting within a Feature Map information relevant to a specified problem;
• 2) selecting and ordering rules for generating solutions to the specified problem, via a learning Classifier;
• 3) dynamically interacting with the at least one of selectable candidate solutions for generating a refined set of candidate solutions;
• and,
• 4) outputting or communicating the at least one selectable candidate solution to an appropriate displaying device or agent requiring solutions input.

A method employing a computer program readable by a machine, tangibly embodying a program of instructions executable by a machine to perform system steps for effecting computer implemented decision support, the method comprising the steps of:

• 1) collecting within a Feature Map information relevant to a specified problem;
• 2) selecting and ordering rules for generating solutions to the specified problem, via a learning Classifier;
• 3) dynamically interacting with the at least one of selectable candidate solutions for generating a refined set of candidate solutions;
• 4) evolutionarily iterating said solutions until a final decisive solution is reached;
• and,
• 5) outputting or communicating the at least one selectable candidate solution to an appropriate displaying device or agent requiring solutions input.