The sky is blue, the air is crisp, kids look happy and I'm feeling ok, this may well be the best day in rest of my life in this deteriorating world (or so I've heard), and I said that to myself yesterday, and the day before. Gratifying from my heart.
Johannes Jaeger, Stuart Kauffmanらのpreprintでは、チューリングマシン=アルゴリズムによる汎用知能(AGI)の実現可能性を否定。その理路の切れ味/新規性には賛否があると思うが、彼らがその先に構想する自然主義でありながら非還元的なメタ機械論の科学には希望を感じる。https://osf.io/yfmt3
なおJaeger(イェーガー)さんの現在の肩書は「フリーランス哲学者・研究者・教育者」とのこと。「I facilitate academic retreats and workshops that help young academics survive and thrive in today's ruthlessly competitive research environment」とか興味深い。 http://johannesjaeger.eu
Johannes Jaegerさんの動画シリーズ、すごく良い。ウィーン大学での修士課程の講義だそうです。システム(進化)生物学を一から学べるだけでなく、現代の科学哲学をふんだんに引用して「説明とは?」「モデルとは?」から解説。ありそうでなかった講義だと思います。https://www.youtube.com/watch?v=CY0UssgxYCM
【洋書紹介】以下のスレッドにて、Dan Breznitz(2021)“Innovation in Real Places”という本を紹介します。イノベーション論、産業政策、科学技術政策に興味をお持ちの方に強くおすすめの一冊です。https://www.amazon.co.jp/dp/0197508111/ 1/n
Besides the lack of progress, the hard part is that I have to devote most of my waking hours to learning and thinking about issues I would otherwise never for a minute care about; which is not entirely uninteresting, but certainly exhausting.
It's been ten months since I changed jobs, people are trustful and I've been more or less allowed to explore on my own, so I've struggled to meet expectation, but so far I keep spinning my wheels, unable to move forward. Mostly thankful, a little dispirited.
”In 1682 the scientist and inventor Robert Hooke read a lecture..., in which he described a mechanistic model of human memory. ... Hooke’s model shares several characteristics with the theory of Richard Semon, which came more than 200 years later, but it is more complete."
2022年2月発売:Thinking Like an Economist by Elizabeth Popp Berman https://www.amazon.co.jp/dp/0691167389/ …60~80年代のアメリカで「経済学的な推論のスタイル」が政策議論を席捲するようになった経緯と、そのスタイルが今に至るまで及ぼしている影響についての本、とのこと。
"Perhaps it has come to seem like a luxury to pursue activities like science ...on grounds other than the economic. But if we choose to accept that belief as reality, we should be aware that we are losing as well as gaining something” E. P. Berman "Creating the Market University"
Diving into philosophy and laying out a map for scientific discussion as done in this paper is tremendously valuable, I think. Can't agree more to the author's view that neuroscience and AI will need common languages on "understanding" and "explanation." Got to read twice. https://x.com/tsonj/status/1386753262171435018
Kate Crawfordの"Atlas of AI"は、AIと呼ばれる技術がいかに地球資源、エネルギー、低スキル労働の消尽のもとに権力や地政学のツールとして機能しているかを丹念に描いており、森田著の終章とつながる内容。https://www.katecrawford.net/ 現代における「計算」の、また一つの(恐ろしい)相貌が見えてくる。
I’ve been watching this man's YouTube video for hours now, I just can't stop it. He sounds so fishy but his love for a language, especially its vocal aspect is striking. I'm allured by these videos as much as he's allured by English vocalization. https://www.youtube.com/c/eigonodo/videos
D. Nicholson(2013)"Organisms ≠ Machines"読了。生体=機械のメタファーは生体の内的な目的性(intrinsic purposiveness)と機械の外的な目的性の違いを消し、heuristicに有効でもtheoreticalには無効と主張。見事な整理と思う。「発注モデル」では少し違うことが言えそう。https://x.com/SergeAhmed/status/1339894189761425408
Watched TENET for the third time. Mesmerized again though with somewhat less intensity. Can't help but be amazed that the humanity managed to create a film like this.
“We have modified our environment so radically that we must now modify ourselves in order to exist in this new environment. ” “May we have the courage to face the eventual doom of our civilization as we have the courage to face the certainty of our personal doom.” N. Wiener 1954
ブザーキ本のとても楽しい書評。概ね批判的だが「脚注が凄い」。同意。ブザーキはベルクソン的だとも。"“Perception is what we do”, an exploration initiated by the brain. Here Buzsáki is rather Bergsonian. Perception is virtual action." https://x.com/behaviOrganisms/status/1368955052765876225
But conceptualizing such "truth" is a vastly social and human endeavor . Basic concepts to depict the universe from the day-1, such as "entropy", is constructed so as to be meaningful to sentient beings on earth (according to my interpretation of Carlo Rovelli's arguments). https://x.com/RichardDawkins/status/1368259842222268421
So the question is this: Is anyone arguing from philosophical stand point on the use of machine learning algorithms as a model of the brain? Do such literatures exist? If so, which one would you recommend? Thank you! (7/7)
I was a bit surprised to find little mention on machine learning (especially deep neural nets and generative models) since ontological and epistemological problems regarding ML related models seemed to be the focus of debates by neuroscientists. (6/7)
My impression was that the central topic of the field is figuring out if we should treat "models" or "explanations" in neuroscience in a unique manner (like whether mechanistic model or dynamical model have primacy over one another in neuroscience). (5/7)
After this, I came to know that "philosophy of neuroscience" is emerging, and became curious what they are debating. Maybe philosophers of neuroscience is paving the way to think clearly about the much heated discussions on methodologies and concepts of neuroscience. (3/6)
p.78 ”McCarthy has given a couple of reasons for using the term “artificial intelligence.” ... “to escape association with ‘cybernetics.’ ... and I wished to avoid having either to accept Norbert Wiener as a guru or having to argue with him.”” http://ai.stanford.edu/~nilsson/QAI/qai.pdf まじか…笑
この発表で取り上げた論文は以下です。 Jonas and Kording (2017) Marr (1982) Lillicrap and Kording (2019) Saxe et al. (2020) Hasson et al. (2020) Buzsáki (2019) Poeppel and Adolfi (2020) Krakauer et al. (2017) いずれかを既読の方に、ぜひご議論いただければと思います。
This slide is meant to be a brief overview of what is being discussed on “understanding the brain” in recent years. I have been able to follow this topic largely thanks to Brain Inspired Podcast by Dr. Paul Middlebrooks @pgmid. Highly recommended. https://braininspired.co/
When talking about Japan in Japanese, we easily end up lamenting cynically on shrinking population, growing deficit, dwindling global presence. Let's ban such talk from Japanese language; do that in English to make it fruitful. Save Japanese for science, art, and real business.
Merely achieving predictability and controllability by replacing a blackbox (brain) with highly parameterized model (DNN) seems to me like a dead end as a science; not that it's unworthy, only that it's difficult to see how it leads to yet another question to explore.
She ends with a question whether to still value "understanding as an end in itself". I think stronger case can be made of the value of understanding. I believe only understanding can give rise to the next "question" to explore, turning "unknown unknowns" into "known unknowns".
Read Chirimuuta's paper (in preprint). https://link.springer.com/article/10.1007%2Fs11229-020-02713-0 I liked her suggestion to regard the aim neuroscientific understanding as obtaining "Ideal patterns". I also agree that neuroscience is seeing a tradeoff between intelligibility and predictability of models.
Wow, this is exactly the kind of "philosophy of neuroscience" I was looking for. She's a neuroscientist turned philosopher and extends Henk de Regt's "philosophy of understanding" to discuss "understanding of the brain". https://braininspired.co/podcast/72/ @pgmid
@rei_akaishi Thank you for your kind recommendation! I'll put them in my reading list. I imagine that comparative & evolutionary viewpoints give rise to many other "questions" that constitute "understanding of the brain", all depending on what kind of "understanding" one is aiming for.
In the last few years, there has been a exciting debate on "how we should try to understand the brain" by world leading neuroscientists. In the figure below I tried to make a crude overview of the diversity of opinions. Work in progress, objections are welcome! https://t.co/97wkQz2B5u