This talk examines how the concept of belief enters into scientific models of learning and intelligence. Although the full scope and beauty of this subject relies heavily upon all of the liberal arts and sciences, most importantly geometry, this talk will restrict itself to the simplest representation based upon logic and intuition. The central focus of discussion will be on how the evolution of belief is critical in making decisions at every scale, from individuals to collective societies. The principles contained will be illustrated interactively through the use of simple games, and the audience itself will collectively illustrate an important concept by participating in an evolutionary multi-player game.
Nicholas Wisniewski holds degrees in physics from Caltech and UCLA, and is currently a Postdoctoral Research Fellow in the Department of Medicine at UCLA. His early publications stemmed from particle physics research conducted at CERN and Fermilab, where he developed computational algorithms employed in the searches for the Higgs boson and Supersymmetry. His current research is in the field of information geometry, developing novel techniques in artificial intelligence applied to systems genetics.
Nicholas Wisniewski, Ph.D.
- University of California Los Angeles
- Department of Geography