Upgrade to Pro
— share decks privately, control downloads, hide ads and more …
Speaker Deck
Sign up for free
Menu
Search
Features
All features
Private URLs
Password Protection
Custom URLS
Scheduled publishing
Remove Branding
Restrict embedding
Deck Collections
Notes
Features
All features
Private URLs
Password Protection
Custom URLS
Scheduled publishing
Remove Branding
Restrict embedding
Deck Collections
Notes
Explore
Featured decks
Featured speakers
Programming
Technology
Storyboards
Explore
Featured decks
Featured speakers
Programming
Technology
Storyboards
Pricing
Search
Sign in
Sign up for free
5分で分る直観主義数学
Search
Yoriyuki Yamagata
November 03, 2018
Science
600
0
Share
Embed
Copy iframe code
Copy JS code
Copy link
Start on current slide
5分で分る直観主義数学
Yoriyuki Yamagata
November 03, 2018
More Decks by Yoriyuki Yamagata
See All by Yoriyuki Yamagata
科学の虚構主義的解釈と祖先以前性の問題
yoriyuki
1
270
関数方程式のあやしい世界
yoriyuki
0
860
算道 − 古代・中世日本の数学 -
yoriyuki
1
810
指数関数は存在しないという話
yoriyuki
0
420
Other Decks in Science
See All in Science
共生概念の整理と AIアライメントの構想
hiroakihamada
0
340
Massey Ratings for Match Outcome Prediction in Table Tennis: Evidence of Greater Stability than the ITTF World Ranking
konakalab
0
150
AI for Phage-Host prediction
michielstock
0
130
Leitner Inauguration Lecture Chalmers University of Technology
xleitix
0
370
バランスって大事だね
akasan
1
150
白金鉱業Meetup Vol.25 【初学者向け発表枠】「で、この施策って効いてるの」に答える効果検証の基礎 ~ATE / ATT / CATE / LATEを現場の問いに翻訳する~
brainpadpr
1
290
データベース14: B+木 & ハッシュ索引
trycycle
PRO
0
960
東北地方における過去20年間の降水量の変化
naokimuroki
1
530
社内で活躍できるデータサイエンティストになるために
aikinohara
1
170
AlgorithAlgorihms for Decision Making
mickey_kubo
0
170
Toward Causal Scientific Discovery with AI
sshimizu2006
0
200
データベース09: 実体関連モデル上の一貫性制約
trycycle
PRO
0
1.9k
Featured
See All Featured
Docker and Python
trallard
47
4.2k
How to Grow Your eCommerce with AI & Automation
katarinadahlin
PRO
2
290
Learning to Love Humans: Emotional Interface Design
aarron
275
41k
How STYLIGHT went responsive
nonsquared
100
6.3k
Building Better People: How to give real-time feedback that sticks.
wjessup
370
20k
Avoiding the “Bad Training, Faster” Trap in the Age of AI
tmiket
0
260
How to audit for AI Accessibility on your Front & Back End
davetheseo
0
560
Bash Introduction
62gerente
615
220k
My Coaching Mixtape
mlcsv
0
330
Groundhog Day: Seeking Process in Gaming for Health
codingconduct
0
380
職位にかかわらず全員がリーダーシップを発揮するチーム作り / Building a team where everyone can demonstrate leadership regardless of position
madoxten
69
66k
Templates, Plugins, & Blocks: Oh My! Creating the theme that thinks of everything
marktimemedia
31
2.9k
Transcript
5ͰΔ؍ओֶٛ ࢁܗ↳೭ !ZPSJZVLJ
5ͰΔ؍ओֶٛ • ʮؾ࣋ͪʯΛઆ໌͢Δ • ؍ओٛͷཱʹֶཱͬͨͷ۩ମతͳల։͠ͳ͍ • ؍ओٛͷܗࣜతͳެཧܥͳͲհ͠ͳ͍
؍ओٛͱ • ʮײओٛʯͰ͋Γ·ͤΜ • ී௨ͷֶΛ൷͢Δʮର߅ֶʯͰ͢ • ී௨ͷֶͷཱʹཱͬͯɺ؍ओֶٛͷମܥΛ ݚڀ͢Δਓ͍Δ • ؍ओٛͷཱʹཱͬͯɺී௨ͷֶͷମܥΛݚڀ
͢Δਓ͍Δ
ূ໌͕جຊ֓೦ • ී௨ͷֶͰਖ਼͍͔ؒ͠ҧ͍ͬͯΔ͔͕ • ূ໌खஈ • ؍ओٛͰূ໌͕͋Δ͔ূ͕͋Δ͔͕ • ͲͪΒͳ͍ͱ͖ɺਖ਼͍͠ͱ͔ؒҧ͍ͬͯΔͱ͔ ݴ͏͜ͱࣗମ͕ແҙຯ
ΰʔϧυόοϋͷ༧ 4Ҏ্ͷۮ2ͭͷૉͷʹͳ͍ͬͯΔ
؍ओٛͷʮূ໌ʯͱ • ۩ମతͳܭࢉʹΑΔͦͷ໋ͷݕূ • ΰʔϧυόοϋͷ༧ͷূ໌ʮ4Ҏ্ͷۮΛ2ͭ ͷૉͷʹॻ͖ͯ͠ɺ݁Ռ͕ਖ਼͍͜͠ͱͷূ໌ ͱҰॹʹग़ྗ͢ΔϓϩάϥϜʯ • ܗࣜཧʹΑΔূ໌Ͱʢຊདྷʣ͋Γ·ͤΜ •
؍ओٛͷূ໌Λهड़͢Δܗࣜݴޠ͋Γ·͢
ഉதͳͥਖ਼͘͠ͳ͍͔ • ഉதͱ P·ͨPͰͳ͍ • PΛΰʔϧυόοϋͷ༧ͱ͢Δ • ഉதɺP͕ূ໌͞ΕΔ͔P͕ূ͞ΕΔ͔ͲͪΒ͔ Ͱ͋Δ͜ͱΛओு͢Δ •
·ͩɺPূ໌ূ͞Ε͍ͯͳ͍
• ήʔσϧͷ൱ఆʹΑΔղऍ • ࣗવͷཧͷൣғͰɺݹయֶͰ͋Δఆཧ͕ಋ͔ ΕΔͱɺ؍ओֶٛͰͦͷήʔσϧͷ൱ఆʹΑΔղ ऍ͕ಋ͔ΕΔ ഉத͕ͳͯͦ͘ΜͳʹࠔΒͳ͍ A _ B
7! ¬(¬A ^ ¬B) 9x.A(x) 7! ¬8x.¬A(x) <latexit sha1_base64="RQKTTLuC04w7BqbpraPkFw9Njs8=">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</latexit> <latexit sha1_base64="RQKTTLuC04w7BqbpraPkFw9Njs8=">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</latexit> <latexit sha1_base64="RQKTTLuC04w7BqbpraPkFw9Njs8=">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</latexit> <latexit sha1_base64="RQKTTLuC04w7BqbpraPkFw9Njs8=">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</latexit>
ू߹ͱ؍ओֶٛ • Per Martin-Löfͷ؍ओٛܕཧʹΑΓɺߏతͳू߹ CZF͕ղऍͰ͖ΔʢAczel, 1978) • CZFʹഉதΛՃ͑ΔͱZFʹͳΔʢAczel, 1978ʣ •
؍ओ͕ٛͲ͜·Ͱू߹ΛղऍͰ͖Δ͔ɺڵຯ͕͋ Δͱ͜Ζ
VoevodskyͱUnivalent Foundation • ੈքʮܕʯͷू·ΓͰ͋Δʢ؍ओٛܕཧʣ • ʮܕʯۭؒɺʮಉҰੑʯͦͷۭؒͷதͷύε • ʮܕશମʯܕU • UͷதͷಉҰੑܕͷಉܕʢUnivalence
Axiom) ͝ΊΜɺΘ͔ͬͯͳ͍
͓·͚ɿֶөըΧϑΣ • ֶ͕ςʔϚͷөըΛݟ͓ͯ͠ΌΓ͢Δձ • શʹҰൠ͚ɺઐతͳ͠·ͤΜ • ։࠵Ͱ͖Δ͔Ͳ͏͔Θ͔Γ·ͤΜ • ໊લߟ͍͑ͨʢΦγϟϨʹ͍ͨ͠ʣ •
ࢀՃ͍ͨ͠ਓɾӡӦखͬͯ͘ΕΔਓืूத