Dates & Times Wednesday 9 November 10.00am - 12.00pm AEDT (Sydney) https://www.timeanddate.com/worldclock/converter.html?iso=20221108T230000&p1=240&p2=45
Link to sign up: https://signup.e2ma.net/signup/1967812/1920084/ Abstract: Computer science seems to be undergoing a paradigm shift. Much of earlier research was conducted in the framework of well-understood formal models. In contrast, some of the hottest trends today shun formal models and rely on massive data sets and machine learning. A canonical example of this change is the shift in AI from logic programming to deep learning. In this presentation, Professor Moshe Y. Vardi (Rice University, Houston TX) will argue that the correct metaphor for this development is not paradigm shift, but paradigm expansion. Just as General Relativity augments Newtonian Mechanics, rather than replace it -- we went to the moon, after all, using Newtonian Mechanics -- data-driven computing augments model-driven computing. In the context of Artificial Intelligence, machine learning and logic correspond to the two modes of human thinking: fast thinking and slow thinking. The challenge today is to integrate the model-driven and data-driven paradigms. Prof Vardi will describe one approach to such an integration: making logic more quantitative. -- LOGICA-L Lista acadêmica brasileira dos profissionais e estudantes da área de Lógica <logica-l@dimap.ufrn.br> --- Você está recebendo esta mensagem porque se inscreveu no grupo "LOGICA-L" dos Grupos do Google. Para cancelar inscrição nesse grupo e parar de receber e-mails dele, envie um e-mail para logica-l+unsubscr...@dimap.ufrn.br. Para ver esta discussão na web, acesse https://groups.google.com/a/dimap.ufrn.br/d/msgid/logica-l/CAO6j_LgyVHSpzcrWHZj2HTtzh%3DzSE5tJkYLPiEGaY5hwx2Fjww%40mail.gmail.com.
