Affiliations: Department of Mechanical Engineering, Texas Tech
University, TX USA | Department of Electrical and Computer Engineering,
UAB, AL USA
Abstract: This paper introduces an extended transdisciplinary framework for
recursively synthesizing knowledge to solve common problems and simultaneously
addressing a need for transdisciplinary solutions for enhancing and augmenting
other fields of study. The benefits of a recursive transdisciplinary common
process are described through details on how knowledge naturally forms,
recombinant knowledge relationship pairing, pedigree retention, and a knowledge
assimilation formula, to aid discovery, decomposition, synthesis, and
validation of core discipline components or First Principles. Recursive
processing of discipline core components and principles is expressed through a
detailed examination of domain specific readings, using an extended simple
interrogatory model, and subsequently contrasted with automating process
behaviour through an example use of natural language processing concepts and
tools for automating the analysis and comparisons of disparate domain specific
discipline languages. Discipline comparisons ultimately expose a set of common
core transdisciplinary components (e.g. words, formulas, principles, problems,
and solutions) and therefore can ultimately achieve a common process for
recombinantly generating transdisciplinary solutions to common problems.
Keywords: knowledge assimilation, transdiscipline, common process, recombinant, relationship pedigree, recursion
