What is Cognitive Science
Comprehensible Knowledge Discovery From Data
Dr. Michael Pazzani
Thursday, October 30, 2008, 12:00pm - 07:00pm
Rutgers University, Office of VP for Research and Graduate and Professional Education and the Department of Computer Sci
Knowledge discovery in databases is a field whose goal is to turn data into knowledge. For example, by analyzing a database of credit card customers we can determine what types of customers are most likely to be profitable for the company. By "mining" databases of medical records, new cost-effective procedures for screening for diseases may be uncovered. We review advances in the field over the past two decades of research in statistics, neural networks and artificial intelligence that have identified a variety of approaches that produce accurate descriptive or predictive models. However, we show that experts are unwilling to accept the results of these techniques when they don't make sense, are difficult to understand, or violate prior understanding. We discuss factors that make learned knowledge acceptable to experts and discuss modifications to rule learning, linear regression and text classification algorithms that make the learned models more comprehensible.
"What is Cognitive Science?"
This lunchtime talks series is designed to introduce the University community to issues in Cognitive Science. Cognitive Science is one the the few fields where modern developments in computer science and artificial intelligence promise to shed light on classical problems in psychology and the philosophy of the mind. Ancient questions of how we see the world, understand language, and reason, and questions such as 'how a material system can know about the outside world', are being explored with the powerful new conceptual prosthetics of computer modeling.
Note: Talks are also announced by email (with reminders sent the day of the talk) to people who have requested to be placed on our announce list. If you would like to be added to our announce list, please email the Business Office (firstname.lastname@example.org).