Reflection / ๋ฐ˜์ถ”

I originally planned the mobile as a piece on metacognition, as it apparently is. Then I was about to accompany it with an essay about how we deliberate and reach a decision, which I studied during my PhD.

But while I was making it, I also realized that I had ideas like this, and others, from when I was little. I felt like I’ve only made it now because now I have more experience executing such ideas.

In that sense, the mobile could be also about growth: a larger self looking back on the little selves. Indeed, metacognition, or evaluation of one’s own thinking, can be one way for learning and growth for humans and machines. For example, if you were sure you would be invited to a friend’s birthday and if you were not, you would wonder about the reason and might learn more about what happened to the friend or to your friendship. That’s different from when you were unsure about getting the invitation to begin with, in which case being not invited wouldn’t mean much.ย Therefore, the sense of being sure, or confidence, is a form of metacognition that can help learning. Machines use confidence to learn as well: agreement between the graded sense of confidence and the all-or-none outcomes can beย mathematically expressed as “cross entropy“, which is a standard measureย used in training machines.

Back to the mobile, I debated whether to use wires or paper, but chose paper because each figure is planar. I glued several sheets together to reinforce them. If someone wants it in a more permanent form, I’d like to try 3D printing it.

์›๋ž˜๋Š” ๋ฉ”ํƒ€-์ธ์ง€์— ๊ด€ํ•œ ๋ชจ๋นŒ๋กœ ๊ณ„ํšํ–ˆ๋‹ค. ์ง€๊ธˆ๋„ ๊ทธ๋ ‡๊ฒŒ ๋ณผ ์ˆ˜ ์žˆ๋‹ค. ์„ค๋ช…์œผ๋กœ๋Š” ์šฐ๋ฆฌ๊ฐ€ ์–ด๋–ป๊ฒŒ ๊ณ ๋ฏผํ•˜๊ณ  ๊ฒฐ๋ก ์— ๋„๋‹ฌํ•˜๋Š”์ง€์— ๋Œ€ํ•ด, ๋‚ด๊ฐ€ ๋ฐ•์‚ฌ๊ณผ์ • ๋•Œ ์—ฐ๊ตฌํ–ˆ๋˜ ๋‚ด์šฉ์„ ๊ณ๋“ค์—ฌ ์“ธ ์ƒ๊ฐ์ด์—ˆ๋‹ค.

ํ•˜์ง€๋งŒ ๋ชจ๋นŒ์„ ๋งŒ๋“œ๋Š” ๋™์•ˆ, ์–ด๋ฆด ๋•Œ๋„ ์ด๋Ÿฐ ์•„์ด๋””์–ด๋ฅผ ํฌํ•จํ•ด ์—ฌ๋Ÿฌ ์•„์ด๋””์–ด๋“ค์ด ์žˆ์—ˆ๋˜ ๊ฒƒ์ด ๊ธฐ์–ต๋‚ฌ๋‹ค. ์ด์ œ์•ผ ์ด ๋ชจ๋นŒ์„ ๋งŒ๋“ค๊ฒŒ ๋œ ๊ฒƒ์€, ์ด์ œ์„œ์•ผ ๊ทธ ์•„์ด๋””์–ด๋ฅผ ์‹คํ˜„ํ•  ์ˆ˜ ์žˆ๊ฒŒ ๋˜์–ด์„œ๋ผ๋Š” ์ƒ๊ฐ์ด ๋“ค์—ˆ๋‹ค.

๊ทธ๋Ÿฐ ์˜๋ฏธ์—์„œ, ์ด ๋ชจ๋นŒ์€ ์„ฑ์žฅ์— ๊ด€ํ•œ ์ž‘ํ’ˆ์ผ ์ˆ˜๋„ ์žˆ๊ฒ ๋‹ค: ํฐ ์ž์‹ ์ด ์ž‘์€ ์ž์‹ ๋“ค์„ ๋ฐ˜์ถ”ํ•˜๋Š” ๊ฒƒ์ด๋‹ค. ๋ฉ”ํƒ€-์ธ์ง€, ํ˜น์€ ์Šค์Šค๋กœ์˜ ์ƒ๊ฐ์— ๋Œ€ํ•œ ํŒ๋‹จ์€ ์‹ค์ œ๋กœ ์‚ฌ๋žŒ์ด๋‚˜ ๊ธฐ๊ณ„๊ฐ€ ๋ฐฐ์šฐ๊ณ  ์„ฑ์žฅํ•˜๋Š” ๋ฐ ๋„์›€์ด ๋œ๋‹ค. ์˜ˆ์ปจ๋Œ€ ์–ด๋–ค ์นœ๊ตฌ์˜ ์ƒ์ผํŒŒํ‹ฐ์— ์ดˆ๋Œ€๋  ๊ฑฐ๋ผ๊ณ  ํ™•์‹ ํ–ˆ๋Š”๋ฐ ์ดˆ๋Œ€๋ฐ›์ง€ ๋ชปํ–ˆ๋‹ค๋ฉด, ๊ทธ ์นœ๊ตฌ๋‚˜ ์นœ๊ตฌ์™€์˜ ์šฐ์ •์— ๋Œ€ํ•ด ๋‹ค์‹œ ์ƒ๊ฐํ•ด๋ณด๊ณ  ๋ญ”๊ฐ€๋ฅผ ๋” ๋ฐฐ์šธ ์ˆ˜ ์žˆ์„ ๊ฒƒ์ด๋‹ค. ํ•˜์ง€๋งŒ ์ดˆ๋Œ€๋ฐ›์„์ง€ ์—ฌ๋ถ€๊ฐ€ ์• ์ดˆ์— ๋ถˆํ™•์‹คํ–ˆ๋‹ค๋ฉด, ์ดˆ๋Œ€๋ฅผ ๋ชป ๋ฐ›์•„๋„ ๋ณ„ ๋œป์ด ์—†์—ˆ๋‹ค๊ณ  ์—ฌ๊ธธ ๊ฒƒ์ด๋‹ค. ์ด๋ ‡๊ฒŒ ์ž์‹ ๊ฐ์€ ๋ฐฐ์›€์„ ๋„์šธ ์ˆ˜ ์žˆ๋Š” ๋ฉ”ํƒ€์ธ์ง€์˜ ํ•œ ํ˜•ํƒœ์ด๋‹ค. ์ž์‹ ๊ฐ์€ ๊ธฐ๊ณ„๋“ค์˜ ํ›ˆ๋ จ์—๋„ ์“ฐ์ธ๋‹ค:ย  ์ž์‹ ๊ฐ๊ณผ ์‹ค์ œ ๊ฒฐ๊ณผ ์‚ฌ์ด์˜ ์ผ์น˜๋„๋Š” ์ˆ˜ํ•™์ ์œผ๋กœ “ํฌ๋กœ์Šค ์—”ํŠธ๋กœํ”ผ“๋กœ ํ‘œํ˜„๋  ์ˆ˜ ์žˆ์œผ๋ฉฐ, ์ด๋Š” ๊ธฐ๊ณ„๋“ค์„ ํ›ˆ๋ จํ•  ๋•Œ ์ผ์ƒ์ ์œผ๋กœ ์“ฐ์ด๋Š” ์ฒ™๋„์ด๋‹ค.

๋ชจ๋นŒ๋กœ ๋Œ์•„์™€์„œ, ์ฒ ์‚ฌ๋ฅผ ์“ธ์ง€ ์ข…์ด๋ฅผ ์“ธ์ง€ ๊ณ ๋ฏผํ•˜๋‹ค๊ฐ€, ๊ฐ ์ธ๋ฌผ์˜ ๋””์ž์ธ์ด ํ‰๋ฉด์ ์ด๊ธฐ ๋•Œ๋ฌธ์— ์ข…์ด๋ฅผ ์“ฐ๊ธฐ๋กœ ํ–ˆ๋‹ค. ์ข…์ด ๋ช‡ ์žฅ์„ ํ•จ๊ป˜ ๋ถ™์—ฌ์„œ ๋‹จ๋‹จํ•˜๊ฒŒ ์„ธ์šธ ์ˆ˜ ์žˆ๋„๋ก ๋งŒ๋“ค์—ˆ๋‹ค. ๋” ํŠผํŠผํ•œ ๋ฒ„์ „์„ ์›ํ•˜๋Š” ์‚ฌ๋žŒ์ด ์žˆ๋‹ค๋ฉด 3D ํ”„๋ฆฐํŒ…์œผ๋กœ ๋งŒ๋“ค์–ด ๋ณด๊ณ  ์‹ถ๋‹ค.

YK 2019.