Emotions - French Toast, Modeling, and A Traditional View

1. CIIC 5995-100 / ICOM 5995-100
Human Perspective in Artificial Intelligence
(HPAI)
Professor José Meléndez, PhD
“Thinking absent emotion – logical thinking – may be a useful
construct, but it is pure fiction.” - Dr. José Meléndez

2. Today
• Emotions III-IV
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3. Report
• Project Report & Software
• “Mini Mind Modules – Inner Robots & Bias”
• Subject to Due Dates Vote
• Due Friday May 15, 2020 by 11:59PM

4. Required Reading – Keep up the Pace
• Influence Tactics by Dr. George Simon Jr. (on Moodle)
• Excerpt of Chapter 6 of Character Disturbance: The
Phenomenon of Our Age
• The kinds of things we want AI to help us with.
• How Emotions are Made: The Secret Life of the Brain
• Chapter 6: How the Brain Makes Emotions
• Chapter 7: Emotions as Social Reality
• Chapter 8: A New View of Human Nature
• Chapter 9: Mastering Your Emotions
• Chapter 13: From Brain to Mind: The New Frontier
• The brain integrates, “so much information from multiple sources
so efficiently that it can support consciousness.”

5. French Toast
Photo by Elise Bauer
https://www.simplyrecipes.com/recipes/french_toast/

6. French Toast
• A friend visiting from Germany staying at our house asked on a Saturday
night if I would make “my French toast” for breakfast on the Sunday
morning.
• I woke up early at 6AM from a nightmare involving someone who did
horrible things to me when I was a child.
• I decide to have an early start for the day with an aim of creating the
HPAI class slides for that day’s class.
• My wife woke up a few minutes later and wanted to spend some time
together and we chatted for a while.
• At 7AM I went downstairs and began making coffee.
• When my guest greeted me I asked her if she and her husband would
like still for me to make the French toast.
• She said they would very much like that.

7. French Toast
• She joined me in the kitchen and asked me if I would be using whole eggs
for the French toast.
• I told her normally that in my recipe I use egg whites because the yolk has
the cholesterol and most of the calories.
• She asked if I would put sugar in the mix.
• She said she prefers milk in the mix too.
• And…Sugar in the pan
• I asked my spouse if she would like the French toast or for me to make us
harina de maíz.
• In the end I chose to make harina de maíz for my spouse and myself.
• Our guest thanked me for the French toast and commented on how good
they were.
• I told them that the credit goes to her because it was her recipe that was
used.

8. • Emotional Concepts (States) of Thought
French Toast – Discussion
The Emotion Machine, Marvin Minsky (Adapted)
http://web.media.mit.edu/~minsky/eb2.html

9. • Emotional Concepts (States) of Thought
• Frustration, Anger, Relief, Excitement, Joy, Annoyed,
Indifferent, Surprised, Disappointment, Fright, Angst,
Doubtful, Tense, Anxiety, Happy, Baffled, Confuse
• Participants
• Me – Having access to my senses, perceptions,
memories, and thoughts (inclusive of emotions)
• My Friend – Created occurrences (Direct, Internal, and
Derived) influencing My reality.
• My Spouse – Created occurrences (Direct and Internal)
influencing My reality
French Toast – Discussion
The Emotion Machine, Marvin Minsky (Adapted)
http://web.media.mit.edu/~minsky/eb2.html

10. • Experience and Lessons:
1. Learned that I still have some patience
2. Be careful about offering “willing” to do vs. “wanting”
3. Learned something about incidental emotions
4. Value of being more flexible (Choice?)
5. Learned how to make amazingly awesome French toast
• Outcomes
French Toast – Discussion
The Emotion Machine, Marvin Minsky (Adapted)
http://web.media.mit.edu/~minsky/eb2.html

11. Next Up
• Emotions
• Modeling Emotions
• A Traditional View
• In Decision Research
• In Artificial Intelligence Systems
https://time.com/3937351/consciousness-unconsciousness-brain/ (adapted)
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12. Models of Intelligence
Sheri Van Dijk, MSW

13. Models of Intelligence
“This distinction between thinking and emotion has wasted a
century of psychologists' time, because they don't understand
that each emotion is a particular way to think.”
- Marvin Minsky (1927-2016)

14. Models of Intelligence
include
“This distinction between thinking and emotion has wasted a
century of psychologists' time, because they don't understand
that each emotion is a particular way to think.”
- Marvin Minsky (1927-2016)

15. Thinking
• Integral Emotions are a result of or directly related to
the decision
• Incidental Emotions influence but are otherwise
unrelated to the decision
• Our thinking shapes our actions
• Thinking inclusive of rational and emotional thinking
• Tangible and Intangible Thinking?

16. Towards a Perspective Model
Example Only

17. Model Models – Towards Perspective
What about time?
What about emotional thinking?

18. Next Up
• Emotions
• A Traditional View
• In Decision Research
• In Artificial Intelligence Systems

19. Aboutness – Traditional View
https://www.jstor.org/stable/20009513?seq=1#page_scan_tab_contents

20. Aboutness – Traditional View
https://www.jstor.org/stable/20009513?seq=1#page_scan_tab_contents

21. Aboutness – Traditional View
https://www.jstor.org/stable/20009513?seq=1#page_scan_tab_contents

22. Aboutness – Traditional View
https://www.jstor.org/stable/20009513?seq=1#page_scan_tab_contents

23. Aboutness – Traditional View
https://www.jstor.org/stable/20009513?seq=1#page_scan_tab_contents

24. Science of Emotion – Traditional View
• Emotions characterized by attributes:
• Something that “happens to” you
• “Flavors”: Positive, Negative, Neutral
• Eliciting or intentional object (aboutness)
• Enable pursuit of goals (serve function)
• Inhibit pursuit of goals
• Multi-component response
• Subjective (what it feels like)
• Body aspects (physiological including brain)
• Outward display of behavior

25. Science of Emotion – Construction
• Emotions characterized by attributes:
• Something that “happens to” you construct.
• Affect “Flavors”: Positive, Negative, Neutral
• Eliciting or intentional object (aboutness)
• Enable pursuit of goals (serve function)
• Inhibit pursuit of goals
• Multi-component response
• Subjective (what it feels like)
• Body aspects (physiological including brain)
• Outward display of behavior is not a signature or “finger print”
• Thoughts/Cognition

26. Emotion “Classification” – Traditional View
• Basic/Discrete
• Anger, Disgust, Fear, Happiness, Anger and Disgust
• Plus more “complex” emotion concept words
• Affective Circumplex
• Two Dimensional “State” (static - not time dependent)
• Valence (pleasant/unpleasant)
• Arousal (agitation/calmness)
• Primary classification systems limited to discrete or
steady-state responses.
• Akin to classifying your thoughts
• “Classification” of emotion is square peg in round hole

27. Affective Circumplex
How Emotions are Made, Figure 4-5

28. Affective Circumplex
• Flawed model of limited utility for Emotion Implementation
• Transforms diverse subjective concepts into subjective and
arbitrary dimensions (recall Feldman’s tribal studies)
• Requires to label emotions as good (pleasant) or bad
(unpleasant)
• Does not capture emotional space as continuous
• Creates false non-subjective, quantitative sense
• ”Low Arousal” is arbitrarily large negative quantity and not
approximately zero!!
How Emotions are Made, Figure 4-5

29. Next Up
• Emotions
• A Traditional View (continued)
• In Decision Research
• In Artificial Intelligence Systems