IJS KOLOKVIJ, sreda, 26. 6. 2024, ob 13. uri, dr. Pat Langley

[Martin Klanjsek]

Vabimo vas na 16. predavanje iz sklopa >Kolokviji na IJS< v akademskem letu
2023/24, ki bo v sredo, 26. junija 2024, ob 13:00 v Veliki predavalnici
Instituta >Jožef Stefan< na Jamovi cesti 39 v Ljubljani. Predavanje bo v
angleščini. Na voljo bodo kava, pijača in prigrizki.

 

 

Umetna inteligenca in znanstvena odkritja: paradigme, napredek in potencial

 

dr. Pat Langley

Inštitut za preučevanje učenja in strokovnega znanja, Palo Alto,
Kalifornija, ZDA

 

 

V okviru splošnega navdušenja nad umetno inteligenco je vseskozi prisotno
zanimanje za uporabo te tehnologije pri odkrivanju znanja na različnih
področjih znanosti. Kot sama umetna inteligenca ima tudi to podpodročje
dolgo zgodovino in številne uspehe, a tudi izzive. V predavanju se bom
osredotočil na dva problema, ki sta pritegnila precejšnjo pozornost:
odkrivanje matematičnih enačb in gradnjo kvalitativnih procesnih modelov. Za
vsak problem bom najprej podal definicijo računske naloge, nato pregledal
osnovne pristope in poročal o njihovih uspehih, ki so vodili do znanstvenih
spoznanj. Nato se bom posvetil tretji paradigmi - induktivnemu procesnem
modeliranju - ki presega prejšnja prizadevanja za tvorjenje kvantitativnih
razlag znanstvenih podatkov ob upoštevanju področnega znanja. Predstavil bom
več pristopov k induktivnemu procesnemu modeliranju, spodbudne rezultate in
zaključil z razpravo o odprtih vprašanjih, ki si zaslužijo nadaljnjo
pozornost znanstvene skupnosti na področju umetne inteligence.

 

O predavatelju: Pat Langley je direktor Inštituta za preučevanje učenja in
strokovnega znanja v Palo Altu v Kaliforniji. Je ustanovni urednik dveh
revij, Machine Learning leta 1986 in Advances in Cognitive Systems leta
2012. Razvil je nekaj prvih računalniških sistemov za odkrivanje
znanstvenega znanja in kot eden izmed prvih izvedel uspešne eksperimentalne
študije strojnega učenja in njegove uporabe pri reševanju problemov v
resničnem svetu.

 

 

Napovednik predavanja in posnetke preteklih predavanj najdete na novi
spletni strani >Kolokvijev na IJS<  <https://kolokviji.ijs.si/>
https://kolokviji.ijs.si/, posnetke pa tudi posebej na
<https://video.arnes.si/?q=Kolokviji_IJS>
https://video.arnes.si/?q=Kolokviji_IJS (zadnje tri sezone) in
<http://videolectures.net/kolokviji_ijs>
http://videolectures.net/kolokviji_ijs (starejši).

 

______________

 

 

We invite you to the 16th lecture in the framework of >JSI Colloquia< in the
academic year 2023/24, which will take place on Wednesday, June 26, 2024, at
1:00 PM in the main lecture hall of Jožef Stefan Institute, Jamova cesta 39
in Ljubljana. The lecture will be held in English. Coffee, drinks and snacks
will be available.

 

 

Artificial intelligence and scientific discovery: paradigms, progress and
potential

 

Dr. Pat Langley

Institute for the Study of Learning and Expertise, Palo Alto, California,
USA

 

 

Within the general excitement about artificial intelligence (AI), there has
been special interest in the technology's application to discovery of
scientific knowledge. Like AI itself, this subfield has a long history and
many successes, but also outstanding challenges. In this talk, I will focus
on two problems that have received considerable attention: discovery of
numeric equations and construction of qualitative process models. In each
case, I will define the computational task, review basic approaches, and
report successes that led to scientific insights. After this, I will turn to
a third paradigm - inductive process modeling - that moves beyond earlier
efforts to generate quantitative explanations of scientific data in terms of
domain knowledge. I will present multiple approaches to this problem,
present encouraging results, and discuss open issues that merit further
attention from the AI community.

 

About the lecturer: Pat Langley serves as a director of the Institute for
the Study of Learning and Expertise in Palo Alto, California. He is the
founding editor of two journals, Machine Learning in 1986 and Advances in
Cognitive Systems in 2012. He developed some of the first computational
systems for scientific knowledge discovery, and he was an early champion of
experimental studies of machine learning and its application to real-world
problems.

 

 

The lecture trailer and recordings of past lectures can be found on the new
website of >JSI colloquia<  <https://kolokviji.ijs.si/>
https://kolokviji.ijs.si/, and recordings specifically at
<https://video.arnes.si/en/?q=Kolokviji_IJS>
https://video.arnes.si/en/?q=Kolokviji_IJS (last three seasons) and
<http://videolectures.net/kolokviji_ijs>
http://videolectures.net/kolokviji_ijs (older).

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