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Systems Level Thinking for Artificial Intelligent Systems

Authors:
Dr. James Crowder, Systems Fellow, Colorado Engineering Inc.
Dr. Shelli Friess, LPC, NCC, ACS, School of Counseling, Walden University

Abstract:
Systems thinking and its perspective have become more and more prevalent in engineering, business, and management. Systems thinking enables systems, people, and/or organizations to study and understand interaction between individuals (or subsystems), departments (or system elements), and/or business units (or legacy systems) within an organization or overall system-of-systems design. The elements considered in systems thinking, then, predict and produce behaviors that are fed back into the overall systems thinking process to produce necessary changes within the organization or system to produce the desired behavior or results. In short, systems thinking seeks to understand how different parts of the system influence one another and influence the entire system. Unlike critical thinking, systems thinking requires many skills to create a holistic view of an entire system and its current and predicted behavior. The purpose of this paper is to begin the discussion and lay out the concepts for systems-level thinking for artificial intelligence.

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Systems Level Thinking for Artificial Intelligent Systems (44 downloads)