koglist April 2024

koglist@maillist.ttk.hu

8 participants
17 discussions

[Koglist] Reminder: Logic and Philosophy of Science Seminar, Bence Marosan

by Gömöri Márton

Logic and Philosophy of Science Seminar Department of Logic, Institute of Philosophy Eötvös Loránd University Budapest Múzeum krt. 4/i Room 224 _____________________________________________ P R O G R A M The seminar is held in hybrid format, in person (Múzeum krt. 4/i Room 224) and online by Zoom. Zoom Meeting link: https://us02web.zoom.us/j/889933315?pwd=Q3U3V3VQdXpXckhJYWRrcWRiMUhhQT09 19 April (Friday) 4:15 - 6:15 PM Room 224 + ONLINE Bence Marosán Department of International Relations, Budapest Business School Phenomenological and empirical investigations concerning the genesis and fundamental nature of minimal mind ______________________________ Abstract is available from the web site of the Seminar: http://lps.elte.hu/lps The Seminar is open to everyone, including students, visitors, and faculty members from all departments and institutes! Format: 60 minute lecture, coffee break, 60 minute discussion. The organizers: Márton Gömöri and András Máté

2 years

[Koglist] What Kind of AI World Do We Want? | Eseménynaptár | MTA

by csaba pléh

https://mta.hu/esemenynaptar/2024-05-10-what-kind-of-ai-world-do-we-want-52…

2 years

[Koglist] [CEU Cogsci Talks] 17 April, 5 PM - Representation Learning Reading Group

by Ildiko Zsoka Varga

Dear All, The Center for Cognitive Computation (CCC) invites you to the upcoming meeting of the Representation Learning Reading Group<https://ccc.ceu.edu/representation-learning-reading-group>. The reading group discusses (mostly recent) papers about theoretical machine learning and algorithms that aim to learn structured, compressed and/or interpretable latent representations of observations in a principled way, often with implications not only for machine learning, but also neuroscience and cognitive science. The group is open for anyone but operates under the assumption that participants know the basic tenets of unsupervised learning and probability theory and have read the paper assigned for the meeting. Upcoming meeting: Papers to be discussed: Song, Y., Sohl-Dickstein, J., Kingma, D. P., Kumar, A., Ermon, S., & Poole, B. (2020). Score-based generative modeling through stochastic differential equations<https://openreview.net/forum?id=PxTIG12RRHS>. arXiv preprint arXiv:2011.13456. and Kadkhodaie, Z., & Simoncelli, E. (2021). Stochastic solutions for linear inverse problems using the prior implicit in a denoiser<https://proceedings.neurips.cc/paper/2021/hash/6e28943943dbed3c7f82fc05f269…>. Advances in Neural Information Processing Systems, 34, 13242-13254. Time: 17:00, Wednesday,17 April 2024. Location: CEU Budapest site (1051 Budapest, Nádor u. 15.) N15. room 104. Zoom: Meeting ID: 958 1085 9549<https://ceu-edu.zoom.us/j/95810859549?pwd=L2NkaG0yTjVKMDF6cEZ5L3pqOGYydz09> Passcode: 055053 Please, be informed that video/photo recording might take place at the event and the edited version of the video material might be published to communicate or promote CEU PU's activities. Please, find our Privacy Notice here<https://www.ceu.edu/privacy>. Best regards, Ildikó Varga Department Coordinator (Budapest) Department of Cognitive Science [cid:982c0990-5d31-4105-8c08-1f8214a156c6] H-1051 Budapest Nádor u. 15. FT room 404. tel: +36-1 327-3000 2941 http://www.ceu.edu<http://www.ceu.edu/> http://cognitivescience.ceu.edu<http://cognitivescience.ceu.edu/> ______________________________________________ Subscribe by sending an empty mail to talks-subscribe(a)cogsci.ceu.edu Unsubscribe by sending an empty mail to talks-unsubscribe(a)cogsci.ceu.edu

2 years

[Koglist] Logic and Philosophy of Science Seminar, Bence Marosan

by Gömöri Márton

2 years

[Koglist] [CEU Cogsci Talks] CCC Colloquium: Yanli Zhou, Tuesday, 16 April, 3 PM

by Ildiko Zsoka Varga

Dear All, The CEU Department of Cognitive Science and the Center for Cognitive Computation (CCC) invites you to the following talk. *Please note that this is an online event only, next Tuesday, starting from 3 PM.* Speaker: Yanli Zhou (New York University) Title: Compositional Learning of Function Interactions in Humans and Machines Abstract: Humans are efficient learners of functions - the ability to represent and compose functions emerges early in development. Work in linguistics further suggests that humans are capable of learning much more complex function interactions. Going back to Kiparsky (1968), linguists have cataloged numerous linguistic phenomena covering four logical patterns for ordering two interactive functions. “Feeding” in a context-free grammar is when one function creates the context for another to operate, and “counterfeeding” is the converse. “Bleeding” occurs when the operation of one function removes the context for another, and “counterbleeding” is its converse. In this project, our aim is to determine the extent to which humans and computational models can learn to compose functions based on the system of interactions. We introduce a learning task that adapts and extends the Piantadosi & Aslin (2016) design, evaluating participants on zero-shot function compositions covering all four interaction types. Our findings indicate that participants can correctly infer the underlying functions based on limited input-output examples; they can also generalize to novel combinations of functions across different conditions. Close examinations of participants’ response patterns reveal a number of potential inductive biases. Furthermore, we demonstrate that a standard sequence-to-sequence transformer model can be trained to complete the same task with high levels of accuracy via meta-learning. Incorporating guidance from human data, our model can learn to reproduce behavioral patterns that mirror the complete and complex way humans perform function compositions. Time: 3 PM, Tuesday, April 16, 2024 Zoom: Meeting ID: 983 6360 8209<https://ceu-edu.zoom.us/j/98363608209?pwd=THFGZEFLVmVqaGlaMjlWYkxsa0dSUT09> Passcode: 951062 Please, be informed that video/photo recording might take place at the event and the edited version of the video material might be published to communicate or promote CEU PU's activities. Please, find our Privacy Notice here<https://www.ceu.edu/privacy>. Best regards, Ildikó Varga Department Coordinator (Budapest) Department of Cognitive Science [cid:9cb0ecd0-e800-4392-a4d6-ba66545d05e7] H-1051 Budapest Nádor u. 15. FT room 404. tel: +36-1 327-3000 2941 http://www.ceu.edu<http://www.ceu.edu/> http://cognitivescience.ceu.edu<http://cognitivescience.ceu.edu/> ______________________________________________ Subscribe by sending an empty mail to talks-subscribe(a)cogsci.ceu.edu Unsubscribe by sending an empty mail to talks-unsubscribe(a)cogsci.ceu.edu

2 years

[Koglist] {Spam?} ELTE Cognitive Seminar: Richárd Reichardt - 2024.04.18 17:00

by Kelemen Alexandra

Dear all, We would like to invite you to the following talk by Richárd Reichardt, organized as part of the ELTE Cognitive Seminar series. Time and date: 17:00 (CET), Thursday, 18 April 2024. Speaker: Richárd Reichardt Title: Is novelty memorable? Abstract: One of the central questions of memory research pertains to the most important factors influencing memorability. Most experts consider novelty to be such a factor, even though empirical results are controversial on the memory effects of novelty. A possible solution for this conundrum might be based on the application of predictive coding principles to memory systems. This theory proposes a general information processing strategy characterizing the nervous system, which is based on predictions generated in accordance with prior experience that influences actual experience. From this standpoint, common sense novelty per se should not affect the updating of predictions or in other words memory encoding. However, if emphasis is placed on the degree of unexpectedness, we might paint a more consistent picture about one of the most important factors influencing memorability. Zoom link: https://ppk-elte-hu.zoom.us/j/93539482032?pwd=cjBDcmlqOXZ5UHk0YUVRZ21XRWpTQ… Meeting ID: 935 3948 2032 Passcode: 286094 If you have questions about the event, please contact us via email (kelemen.alexandra(a)ppk.elte.hu or reka.schvajda(a)ppk.elte.hu<mailto:reka.schvajda@ppk.elte.hu>). We look forward to seeing you at the event, Alexandra Kelemen Réka Schvajda organizers ELTE Kognitív Pszichológiai Tanszék

2 years, 1 month

[Koglist] {Disarmed} please distribute the flyers

by Csaba Pleh

Csaba Pléh www.plehcsaba.eu vispleh@<http://@>ceu.edu Phone: 36303493735 Member HAS and Academia Europaae CEU Dept of Cognitive Science Nádor utca 9 1051 Budapest, Hungary Office: Nádor utca 9 4th Floor, Room 406

2 years, 1 month

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koglist April 2024