Turbo Charge AI with Right Brain-Based Reasoning
- Published: July 25, 2019
- Written by Jim Sinur
AI is blossoming, but the real advantage of AI is yet to come. While organizations are mesmerized by the power of AI on left-brained activities of facts, rules and logic, the big opportunity lies fallow. It's the right-brained activities that help with insight, interpretation, intuition, judgment and reasoning where the big benefits can be gleaned. The leverage of general policies, creativity and constraints are not natural in the world of AI today. Because it is difficult today, many pass reasoning and judgment by these days. What if there was a way to deliver right-brained behavior with left-brained activities? There is, but I'll get to that later.
Jump-Starting Right Brained Reasoning
Since Left-brained analytic and approaches require precision, they are purer text language-based and not open-ended. They require all possibilities to be covered and dealt-with ahead of time. Right-brained approaches are more open-ended and somewhat of “close fit” or “similar patterned”. Reasoning requires a more model-driven approach, but not a static model. Right-brained approaches require more fitting, approaching dynamic limits and in-flight adjustments. To make judgments and to reason requires adjustments plus precision used in unison.
Setting Goals, Constraints and Interaction
In interactive and adjustable situations, often goals are set to direct behavior. In the case of multiple goals, sometimes in conflict, dynamic adjustments to find a balance that works for the moment until completion of the overall mission. Along the way, the behavior will also be guided by constraints (boundaries) that are not easily changeable. As activity attempts to reach a set of goals without violating any boundaries, new and unexpected outputs and behaviors can emerge. Thereby the result may be similar to creativity and imagination. This effect is emergence with goals and guidelines implying judgment.
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