Architecture and Adaptive Machinery for Human-Computer Conversation seminar
A Computational Architecture for Conversation_AKAStudy Andy made a presentation on this seminar and the introduction to this is as follows: ***Peeking Into The Seminar*** This seminar was to study dissertations on inference methods and structuring that make human-computer interaction possible. This is about two dissertations from professor Eric Horvitz, a researcher at Microsoft, a leading company in computer conversation, and professor Tim Paek from Stanford. The first paper is about research on the Bayesian Receptionist, which functions through the front desk of the Microsoft Seattle office. It is based on the Bayesian Network which uses Bayesian Inference which utilizes information other than just statistical sampling. It makes inferences by transferring its way of understanding the purpose of the conversation into a structure with 3 layers. For example, if the Bayesian Receptionist judges that the user’s purpose is to find a shuttle […]