Broad Area Colloquium For AI-Geometry-Graphics-Robotics-Vision
(CS 528)
Knowledge Systems and Project Halo
Bruce Porter, University of Texas, Austin
April 11, 2005, 4:15PM
TCSeq 201
http://graphics.stanford.edu/ba-colloquium/
Abstract
Knowledge Systems are computer programs that use broad knowledge about
a domain to answer a wide range of novel questions with coherent
explanations. Our goal is to develop methods by which scientists,
with no training in knowledge engineering, can build large knowledge
systems. This talk will describe our approach of building knowledge
systems compositionally by instantiating and assembling
representational components of general actions and entities.
Project Halo is a challenge problem designed to gauge the current
state of knowledge systems. Vulcan, Inc. hired three teams to build
knowledge systems for Advanced Placement (AP) chemistry. (AP is an
exam for gaining course credit at US universities.) The talk will also
discuss the novel experimental design, as well as the architecture of
our winning submission.
About the Speaker
Bruce Porter is a Professor in the Department of Computer Science, and
the Director of the AI Lab, at the University of Texas in Austin.
Professor Porter completed his PhD in machine learning in 1984 at the
University of California, Irvine. He earned a Presidential Young
Investigator award from the National Science Foundation in 1987. With
the goal of building large, useful knowledge systems, his research
focuses on knowledge representation and reasoning, knowledge
acquisition, and explanation generation. In 1997, he and colleague
Peter Clark wrote a research paper laying out their vision for
building knowledge systems compositionally. The paper was selected for
a Best Paper Award by the National Conference on Artificial
Intelligence.
Contact: bac-coordinators@cs.stanford.edu
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