by Jose Maria Gonzalez Pinto., Thesis (S.M.)--Massachusetts Institute of Technology, School of Architecture and Planning, Program in Media Arts and Sciences, 2002., Includes bibliographical references (p. 68-69).

I propose a common framework that combines three different paradigms in machine learning: generative, discriminative and imitative learning. A generative probabilistic distribution is a principled way to model many machine learning and machine perception problems. Therein, one provides domain specific…

Creating common ground in a community of people who do not all know each other is a chicken-and-egg problem: members do not share enough common ground to support the kinds of conversations that help build it. "Folk Computing" technology is…

In order to understand and create human-level intelligence I have developed the Polyscheme cognitive architecture to build systems that combine several representation and inference schemes when they think. Polyscheme is based on three principles. First, different (aspects of) situations that…