INCOSE Augmented Intelligence Challenge Team
2018.03.27 Meeting Notes
Attendance: [X] Mark Petrotta, [X]Troy
Peterson, [X]Bill Schindel, [X]Jon Wade, []Jimmy McEver, [X]Donna Rhodes
Recap of last meeting
Types of learning:
INLINE – Real time
AFTER THE FACT – what happened?
Chess AI -> learns YOU -> helps you
Decision -> action -> AI analyze results
Person <-> AI
Helps
you learn
Learning & Knowledge Manager vs LC Manager(gears)
Learning & Knowledge Manager
|
LC Manager(gears)
|
Learn new things
|
Not learning new things
|
Reflecting on past history
|
Exploit what is already known
Apply what is already known
|
Applies to ISO15288 processes
|
Applies to ISO15288 processes
|
AI Waves:
1) 80’s
AI: Knowledge capture
2) ML/Pattern
matching
3) Contextual
information
Advertising
– personalization
Augmentor
vs Augmentee
What if both human?
Some people not augmentable??
Studies
show how people remember where something is better than fact itself.
Learning
connected to retrieval
Understanding certainty (uncertainty) of
AuI
Inject
noise -> diff result?
Sensitivity
analysis
HIL
(human in loop) -> avoid Armageddon
Competition vs Cooperation
Two Major Forces in Universe:
1)
Entropy - increasing
2)
Self-Assembly
Complexity
Taxonomy
– how we can think about AuInt
How impact design / engineering
of systems?
On-going vs algorithmic
(distinction?)
TO
DO:
1) Put
notes on wiki
2) Add
team to wiki?
3) 15288
architecture in Donna’s slide
4) Design
patterns
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