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(The below text version of the notes is for search purposes and convenience. See the PDF version for proper formatting such as bold, italics, etc., and graphics where applicable. Copyright: 2023 Retraice, Inc.)
Re105: Solve or Be Solved (Day 3, AIMA4e Chpt. 3)
retraice.com
The mechanical advantage of those who control AI engineers. The agent-environment boundary; environments to be solved by agents; AI-CS tools recent, vast; mechanical advantage in physics and AI; math vs. AI-CS; the enormous problem-solving advantage of those who control AI engineers.
Air date: Tuesday, 3rd Jan. 2023, 10:00 PM Eastern/US.
Agent, environment arbitrary
The purpose of distinguishing is to analyze systems. (Russell & Norvig (2020) Chpt. 2, p. 38)
Task environment is problem, agent is solution
Chpt. 2, p. 42.
A recent, vast array of tools
Chpt 3: search, heuristics, automated heuristics, mostly developed between the 1960s and 1980s.
Mechanical advantage
Inventing heuristics mechanically:
"We have seen that both h (misplaced tiles) and h (Manhattan distance) are fairly good heuristics for the 8-puzzle and that h is better. How might one have come up with h? Is it possible for a computer to invent such a heuristic mechanically?"^1
Yes: relaxation, pattern databases, landmarks, (machine) learning.
Cf. mechanical advantage (force ratio) in physics:"The ratio of the output force (load) of a machine to the input force (effort)."^2
The mechanical advantage does not necessarily stay with the AI engineers (nor the mechanical and other engineers); it transfers to those who control them, those who understand how to control humans.^3
It's not like math
Math doesn't have agents. Math solves problems; AI-CS solves solving.
Solve or be solved
AI-literate computer controllers (AI engineers and their controllers) have an enormous problem-solving advantage, i.e. environment-changing advantage. Their utility functions, beliefs, desires, etc. will benefit. Other agents (outsiders) are part of the environment they'll change.^4
What does a `player' in `the computer control game' do? Solve. Change environments. What's new is the scale of the mechanical advantage of AI engineering.
_
References
Rennie, R., & Law, J. (2019). A Dictionary of Physics. OUP Oxford, Kindle, 8th ed. ISBN: 978-0192554611. Searches: https://www.amazon.com/s?k=9780192554611 https://www.google.com/search?q=isbn+9780192554611 https://lccn.loc.gov/2018968522
Retraice (2022/10/28). Re33: Outsiders, Power and Waste. retraice.com. https://www.retraice.com/segments/re33 Retrieved 2nd Nov. 2022.
Retraice (2022/11/07). Re43: The Midterms -- Part 1. retraice.com. https://www.retraice.com/segments/re43 Retrieved 9th Nov. 2022.
Retraice (2022/11/16). Re52: Big Questions About AI. retraice.com. https://www.retraice.com/segments/re52 Retrieved 17th Nov. 2022.
Retraice (2022/12/31). Re102: AI For What. retraice.com. https://www.retraice.com/segments/re102 Retrieved 1st Jan. 2023.
Russell, S., & Norvig, P. (2020). Artificial Intelligence: A Modern Approach. Pearson, 4th ed. ISBN: 978-0134610993. Searches: https://www.amazon.com/s?k=978-0134610993 https://www.google.com/search?q=isbn+978-0134610993 https://lccn.loc.gov/2019047498
Footnotes
^1 Russell & Norvig (2020) p. 99.
^2 Rennie & Law (2019).
^3 Retraice (2022/10/28); Retraice (2022/11/07); Retraice (2022/11/16); Retraice (2022/12/31).
^4 Cf. Rushkoff's Program or Be Programmed: Ten Commands for a Digital Age (2011).
By Retraice, Inc.(The below text version of the notes is for search purposes and convenience. See the PDF version for proper formatting such as bold, italics, etc., and graphics where applicable. Copyright: 2023 Retraice, Inc.)
Re105: Solve or Be Solved (Day 3, AIMA4e Chpt. 3)
retraice.com
The mechanical advantage of those who control AI engineers. The agent-environment boundary; environments to be solved by agents; AI-CS tools recent, vast; mechanical advantage in physics and AI; math vs. AI-CS; the enormous problem-solving advantage of those who control AI engineers.
Air date: Tuesday, 3rd Jan. 2023, 10:00 PM Eastern/US.
Agent, environment arbitrary
The purpose of distinguishing is to analyze systems. (Russell & Norvig (2020) Chpt. 2, p. 38)
Task environment is problem, agent is solution
Chpt. 2, p. 42.
A recent, vast array of tools
Chpt 3: search, heuristics, automated heuristics, mostly developed between the 1960s and 1980s.
Mechanical advantage
Inventing heuristics mechanically:
"We have seen that both h (misplaced tiles) and h (Manhattan distance) are fairly good heuristics for the 8-puzzle and that h is better. How might one have come up with h? Is it possible for a computer to invent such a heuristic mechanically?"^1
Yes: relaxation, pattern databases, landmarks, (machine) learning.
Cf. mechanical advantage (force ratio) in physics:"The ratio of the output force (load) of a machine to the input force (effort)."^2
The mechanical advantage does not necessarily stay with the AI engineers (nor the mechanical and other engineers); it transfers to those who control them, those who understand how to control humans.^3
It's not like math
Math doesn't have agents. Math solves problems; AI-CS solves solving.
Solve or be solved
AI-literate computer controllers (AI engineers and their controllers) have an enormous problem-solving advantage, i.e. environment-changing advantage. Their utility functions, beliefs, desires, etc. will benefit. Other agents (outsiders) are part of the environment they'll change.^4
What does a `player' in `the computer control game' do? Solve. Change environments. What's new is the scale of the mechanical advantage of AI engineering.
_
References
Rennie, R., & Law, J. (2019). A Dictionary of Physics. OUP Oxford, Kindle, 8th ed. ISBN: 978-0192554611. Searches: https://www.amazon.com/s?k=9780192554611 https://www.google.com/search?q=isbn+9780192554611 https://lccn.loc.gov/2018968522
Retraice (2022/10/28). Re33: Outsiders, Power and Waste. retraice.com. https://www.retraice.com/segments/re33 Retrieved 2nd Nov. 2022.
Retraice (2022/11/07). Re43: The Midterms -- Part 1. retraice.com. https://www.retraice.com/segments/re43 Retrieved 9th Nov. 2022.
Retraice (2022/11/16). Re52: Big Questions About AI. retraice.com. https://www.retraice.com/segments/re52 Retrieved 17th Nov. 2022.
Retraice (2022/12/31). Re102: AI For What. retraice.com. https://www.retraice.com/segments/re102 Retrieved 1st Jan. 2023.
Russell, S., & Norvig, P. (2020). Artificial Intelligence: A Modern Approach. Pearson, 4th ed. ISBN: 978-0134610993. Searches: https://www.amazon.com/s?k=978-0134610993 https://www.google.com/search?q=isbn+978-0134610993 https://lccn.loc.gov/2019047498
Footnotes
^1 Russell & Norvig (2020) p. 99.
^2 Rennie & Law (2019).
^3 Retraice (2022/10/28); Retraice (2022/11/07); Retraice (2022/11/16); Retraice (2022/12/31).
^4 Cf. Rushkoff's Program or Be Programmed: Ten Commands for a Digital Age (2011).