Why?
Cognitive Architectures and Deep Thinking
ISSIP Conference Call
21 January, 2016
Jack Park
My Purpose
• Is Not
– To advance our understandings by making claims,
broad or otherwise.
• Is
– To explore avenues which ...
Situation A
• Niel deGrasse Tyson asked Sir Richard Branson
if Sir Richard could grant free rides to space
for politicians...
Situation B
• A person’s parent succumbs to the end game
of a Leukemia.
– The person is told by the parent’s physician tha...
Situation C
• CO2 in the upper atmosphere is claimed to
contribute to climate change
• Why?
• CO2 is defined as a greenhou...
Why Indeed! Aristotle’s 4 Causes*
• Material Cause
– Change related to the material composition
(components)
• Formal Caus...
Final Cause
• Final Cause as:
– Purpose
– Emergent state based on a final binding of the
history
– Anticipation*: a predic...
A Non-living Example
What How Why
A Living Example
Tighter Focus
Why Microbiome?
Anticipatory
Systems:
Closed To Efficient
Cause
Robert Rosen *
(1991): Life Itself
* https://en.wikipedia....
Why Ask Why?
• To Study Complex Systems
– Anticipatory Systems
• Living systems are anticipatory
– Deep Thinking:
• Relati...
Thanks to the
organizers at IBM:
Jim Spohrer
Dianne Fodell
Thanks to reviewers:
Randy Goebel
Mark Szpakowski
Nefer Doane
W...
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Why? A Discussion about Cognitive Architectures and Deep Thinking

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A Discussion about Cognitive Architectures and Deep Thinking by Jack Park from TopicQuests Foundation presented at the Cognitive Systems Institute Speaker Series.

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Why? A Discussion about Cognitive Architectures and Deep Thinking

  1. 1. Why? Cognitive Architectures and Deep Thinking ISSIP Conference Call 21 January, 2016 Jack Park
  2. 2. My Purpose • Is Not – To advance our understandings by making claims, broad or otherwise. • Is – To explore avenues which can lead to advanced understandings by way of illustrations , with a touch of theoretical considerations – To start a larger conversation…
  3. 3. Situation A • Niel deGrasse Tyson asked Sir Richard Branson if Sir Richard could grant free rides to space for politicians and world leaders* • Why? • Tyson had stated that every astronaut he interviewed could not imagine lifting arms against another human after experiencing Earth from space. • Why? * http://www.techinsider.stfi.re/neil-degrasse-tyson-meets-pepper-the-robot-at-clinton-globale-initiative-2015-9?sf=aaeoxy after minute 46 in the video
  4. 4. Situation B • A person’s parent succumbs to the end game of a Leukemia. – The person is told by the parent’s physician that Leukemias are not familial; nothing to worry about. – Several years later, that person is diagnosed with the same Leukemia. • Why?
  5. 5. Situation C • CO2 in the upper atmosphere is claimed to contribute to climate change • Why? • CO2 is defined as a greenhouse gas. Greenhouse gases contribute to climate change. • Why?
  6. 6. Why Indeed! Aristotle’s 4 Causes* • Material Cause – Change related to the material composition (components) • Formal Cause – Change related to the arrangement, shape, structure (design) • Efficient Cause – Change related to agency (carpenters) • Final Cause – Change related to the target to which change directs (purpose) * https://en.wikipedia.org/wiki/Four_causes
  7. 7. Final Cause • Final Cause as: – Purpose – Emergent state based on a final binding of the history – Anticipation*: a predictive model *https://en.wikipedia.org/wiki/Anticipation_(artificial_intelligence) Robert Rosen (1985): Anticipatory Systems
  8. 8. A Non-living Example What How Why
  9. 9. A Living Example
  10. 10. Tighter Focus
  11. 11. Why Microbiome? Anticipatory Systems: Closed To Efficient Cause Robert Rosen * (1991): Life Itself * https://en.wikipedia.org/wiki/Robert_Rosen_(theoretical_biologist)
  12. 12. Why Ask Why? • To Study Complex Systems – Anticipatory Systems • Living systems are anticipatory – Deep Thinking: • Relational Models of complex systems entail examination of all aspects of causality A system containing a predictive model of itself and/or its environment, which allows it to change state at an instant in accord with the model's predictions pertaining to a later instant. (Rosen)* *https://en.wikipedia.org/wiki/Anticipation_(artificial_intelligence) Robert Rosen (1985): Anticipatory Systems
  13. 13. Thanks to the organizers at IBM: Jim Spohrer Dianne Fodell Thanks to reviewers: Randy Goebel Mark Szpakowski Nefer Doane Why Not? Cognitive Systems Institute talks are archived at http://cognitive-science.info/community/weekly-update/ jackpark@topicquests.org

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