subject: Software Profiling for AI and The Psychology of Emotions Discussed [print this page] Software Profiling for AI and The Psychology of Emotions Discussed
He indicated how to mathematically define poor reasoning based on emotional components, and how to ditch those emotional triggers more logical reasoning and decision making. Not only that how to size up an individual's flawed thinking and even how to look in one's own mirror to catch such flaws.
After listening to this and looking at the equations put forth I was indeed intrigued, and stated; "interesting take away there," and then I thought, hey, I might be able to use this, for instance for programming AI to adapt to understand human emotion through casual determinants and causality. Predicting what the human will do based on their emotional response.
Interestingly enough, I've been scanning a book "Metaphor Therapy - Using Client - Generated Metaphors in Psychotherapy" by Richard R. Kopp and although I have little use for psychotherapists, psychologists, or any field related to those due to the individuals I've met or observed, along with their often academic arrogance and absolutely unearned egos - I can see the need to borrow some of their insights and use it for AI programming software architecture.
"Dave, do I sense hostility Dave?"
Besides, testing their theories in this way, theoretically even if they are half-right, the AI system created could find where the psychology theories lack, and they do, I am convinced. I had contemplated a way to tag each word of a sentence spoken and captured by voice recognition with an emotional value based on tone, abruptness, volume, and inflection, and pitted against the normal conversation cadence, and average of the rest of the discussion.
This could be used by intelligence to determine levels of chatter, or which conversations to record, and even predict future actions by that individual, based on probability of the overall society from which they were immersed. A conversation, even perhaps one online could also give clues, or perhaps following a conversation on an Internet Forum, blog, Facebook page, etc.
The only problem with this concept is that it would lead to unfortunate false positives, but if the AI system learned in hindsight, then over time it could get rather good at the probability. In fact, using this system, we could also find the best leaders for various tasks - Warrior Squad Leader, Fighter Pilot, Administrator, General Patton type, and the best type of leader could be put into their best suited roles for the best success outcome.
No, it would never be absolute, but it would be better than experiencing leadership failure so often, which damages the group. i.e - "boss yells at worker, worker goes home yells at mom, mom yells at boy, boy kicks dog, dog chases cat, cat claws sofa" - as someone recently put it.
Personally, to me it would appear that if each individual understood the use of emotion better, they might do better (and per my theory, a society does better when each individual does better), but again that might be asking too much as per my; "they are just humans - what can we really expect from them" theory.
An interesting set of videos on this topic which is well worthy of your time to review is "Emotion VS. Analytics: Decision Making and the Biased Brain," by Baba Shiv - Professor of Marketing at Stanford Graduate Business School - and why do I recommend this? Simple, marketing works because it influences the brain's emotional component - captures its attention - thus, influences its decision making process.
Anyway, I'd like to ask YOU, the reader of this article, what are your thoughts on this flowing discussion? Have any? If so, email me and let's talk. Please consider all this either way.
Lance Winslow is a retired Founder of a Nationwide Franchise Chain, and now runs the Online Think Tank. Lance Winslow believes writing 21,600 articles was a lot of work - because all the letters on his keyboard are now worn off..
