Method and System for Universal Problem Resolution with Continuous Improvement

摘要

A universal problem resolution method and system implementing continuous improvement for problem solving that utilizes simulative processing of relational data sets associated with initial states, allowed transition states, and goal states for a problem. The framework autonomously generates and solves higher order problems to find sequences of operations necessary to transform state sequences derived from the lower-order transformation simulations recursively. The solutions yield increasingly higher-order abstractions that converge to generalization such that the unwinding of the higher order sequences back down to the original problem yields the exact sequence of steps for unsolved instances of the problem in linear time without the need for re-simulation. Cooperating agents analyze solution path determinations for problems including those concerning their own optimization. This spawns state transition rules generalizable to higher layers of abstraction resulting in new knowledge enabling self-optimization.

主权项

1. A method for solving problems with a computer processor by using the computer processor to execute steps comprising:
(a) defining an input problem that can be modelled using an initial state, a transition state, and a problem goal state; (b) simulating the input problem to identify a sequence of states to solve at least one instance of the input problem; (c) storing the sequence of states to solve at least one instance of the input problem in a database that can be queried; (d) recursively generating a higher-level transform problem wherein an input to the higher-level transform problem is the sequences of states stored during step (c), and the higher-level transform problem goal state is to identify an appropriate sequence of states for solving a selected instance of the input problem; (e) simulating the higher-level transform problem to identify a transformation sequence that represents the state sequences to solve a selected instance of the input problem; (f) storing the sequence of states to solve the higher-level transform problem in a database that can be queried; (g) recursively repeating steps (g)-(f) until determining that the recursive process has reached a point of diminishing returns such that the sequence of states for most appropriately solving the input problem has been identified and stored in the database; and (h) completing each of the recursive processes in steps (d) and (g) and presenting a most appropriate solution to the input problem.