[Seminar] Does Artificial Intelligence need Evolutionary Computation?

Topic: Does Artificial Intelligence need Evolutionary Computation?

Time: 15h00-16h30, Thursday, February 16th, 2023

Speaker: Prof. Wolfgang Banzhaf, Michigan State University

✅  Location: Room 404, B1 Building, Hanoi University of Science and Technology

or online link on MS Teams: here


Artificial Intelligence has made much progress in recent years, mostly due to Machine Learning. Evolutionary Computation takes inspiration from natural evolution and some argue that it will be necessary to be include evolutionary aspects into Machine Learning to make progress. We shall look at those arguments and discuss in particular Genetic Programming as one technique for automatically evolving computer programs or algorithms. The talk will discuss the features of the Genetic Programming method, and look at some of its applications in different areas.

Speaker Bio:

Prof. Wolfgang Banzhaf is the John R. Koza Chair for Genetic Programming at Michigan State University, East Lansing, USA. His research interests are in the field of bio-inspired computing, notably evolutionary computation and complex adaptive system, and in particular genetic programming and artificial life. He is the (co-)author of more than 300 scientific contributions, including 3 books. He served as chair of ACM SIGEVO, founding editor-in-chief of the SpringerNature journal ‘Genetic Programming and Evolvable Machines’ and was the first editor-in-chief of the annual GECCO conference proceedings. In 2003, he became Senior Fellow of the Intl. Society for Genetic and Evolutionary Computation (now ACM SIGEVO), won the EvoStar Award for major contributions to Evolutionary Computation in Europe in 2007 and just recently received the Lifetime Achievement Award of the Intl. Society for Artificial Life (ISAL).

Slides: to be updated…

Recording:  to be updated…