Method and Apparatus for Dynamic Evolving Cognitive questioning querying architecture iterative problem solving dynamically evolving feedback loop

摘要

A dynamically evolving cognitive questioning querying architecture system housed in a plurality of digital apparatus as well as a plurality of computing network, and computing network interfaces and based on end user input, cognitive computing, interactive machine learning queries of the end user, and computational creativity is described. A system forms a dynamically evolving automated multistep desired solution query that provides an artificially intelligent cognitive iterative problem solving feedback loop that becomes increasingly artificially intelligent through time through the real time and dynamically evolving as well as simultaneous interaction of object queries and object solutions working in tandem to provide instantiations based on user input, cognitive computing modules, computational creativity modules, interactive machine learning queries of the end user and creates a plan based on the fulfilled dynamic evolving automated solutions to query. The plan includes a first object solution that transforms a first object solution associated with the first fulfilled dynamically evolving automated solution to query into a second object query and also includes a second object solution that transforms the second object solution into a third object query associated with fulfilled dynamic evolving automated solution to query were the first object solution and the second object solution are selected from multiple object solutions driven by successive as well as previous object queries that transforms into multiple object solutions that evolve dynamically in tandem pairs with multiple object queries through time. The system executes the plan, and outputs a value associated with the third object solution driven by previous object queries as well as previous object solutions related to data from end user input, computational creativity modules, cognitive computing modules, interactive machine learning queries of the end-user that derives a fulfilled dynamically evolving automated solution to query final output.