Get Real AI with Right-Brain Based Reasoning

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 is 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 more pure 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 inflight 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.  

Acting in Real-Time Dynamically:

Real-time is a vital part of the right-brained approach in that there are some trial and error, some in-flight adjustment and looking at results in light of desired outcomes. Adjustments are made on the way to outcomes or when outcomes are not what fits the desired outcomes. It implies judgment or reasoning. I'm not sure it fits precisely with feelings like empathy, but it can be emulated.

Net; Net:

Judgment is a different kind of AI that is hard to cobble together by yourself. The good news is that I have stumbled upon technology from a company called Compsim that has the graphical language, KEEL Dynamic Graphical Language that is able to deliver much of the right-brained behavior for organizations. KEEL also delivers explainable and auditable judgment along with the reasoning in a way that humans cannot provide. This is a little known company that has significant experience in dealing with live interactive problems that are impossible to deliver with just left-brained AI solutions. Remember you heard it here first. Make sure you sample some of the videos as they are instructive and will give you a sense of delivery.

More about Compsim & KEEL http://www.compsim.com/