Seminario Synergia Seminar
Computers, robots and experiments
Programma
In this talk I will argue that Artificial Intelligence (AI) and robotics are engineering disciplines and that this should play a central role in the conceptualization of their experimental method. The talk starts from a recent discussion on the reproducibility of results in AI. The emphasis on reproducibility can be seen as an attempt to conform AI to the standards of rigor typical of classical scientific disciplines, such as physics. Some proposal have been spelled out on how to improve the level of reproducibility not only on a purely abstract level, but also on a more concrete one with suggestions and guidelines. This discussion, however, dismisses some important elements. I will focus on one of them, that is the peculiar character of AI as an experimental discipline at the intersection of science and engineering. Because each new program that is built is an experiment - as Newell and Simon claimed in their famous 1976 paper - it is worth considering whether it does make sense to adopt the traditional experimental principles (i.e., reproducibility) of the natural sciences.
Relatori/Relatrici
Viola Schiaffonati (Politecnico di Milano)
Dettagli sull'evento
Data e luogo
Inizio: 25/05/2022
alle ore 11:00
Fine: 24/05/2022
alle ore 13:00
Palazzo Albani (Urbino, Via Viti, 10) Aula C5 - Sala Lauree
Organizzato e promosso da:
Dipartimento di Scienze Pure e Applicate
Scuola di Scienze, Tecnologie e Filosofia dell'Informazione
LM-78 - Classe delle lauree magistrali in scienze filosofiche - Filosofia dell'informazione. Teoria e gestione della conoscenza
Synergia Research Group
Modalità di partecipazione
Altre informazioni utili
Evento in modalità mista (di persona e online su ZOOM). Per seguire online collegarsi al link: https://uniurb-it.zoom.us/j/89781808693?pwd=ZWNLV1JIU1RsR3RXWEZCK0ZYclhSUT09
INFO: pierluigi.graziani@uniurb.it
