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DR. TIM FREEMAN
The paper
Using Compassion and Respect to Motivate an Artificial
Intelligence said
This paper presents a decision procedure that can, in principle, observe
people's behavior and from that infer what they want. Training the
algorithm would require giving it past observations of the world coupled
with an estimate of the perceptions and behaviors of the people that
were being observed.
The output from the algorithm is a
set of
explanations of the observed phenomena; each explanation has an a-priori
probability and enough information to infer an expected utility for each
person. These expected utilities can be combined with a simple
arithmetic
to get a total utility function that could be used as input to a
planner, if unlimited computing power were available. A different
arithmetic would give rise to plans that plausibly fit the labels
"compassionate" and "respectful".
Python source code is provided. This builds on past work with inductive
inference by
Marcus Hutter,
Jürgen Schmidhuber, and Ray Solomonoff.
Tim Freeman, Ph.D. was the author of this paper and is based at
Hewlett Packard.
He designed and developed much of the client and server sides of HP
Guide
as a Python and Apache application on Linux and Windows XP, and ported a
suitable piece of it to Vista for inclusion in HP Advisor and
distribution on Spring 2007 HP commercial PCs.
He previously worked at Elemental Security, San Mateo, CA where he wrote
Java code that functioned in a Tomcat server running on Linux, with
clients in Python and an Oracle 9 database. Source control was done with
Perforce and bugs were tracked with Bugzilla.
Tim developed
Fungimol, an extensible system for designing atomic-scale
objects. The
intent is to eventually extend it to be a useful system for doing
molecular nanotechnology design work. He
coauthored
DAGWOOD: A System for Manipulating Polynomial Given by Straight-Line
Programs.
Tim earned his Ph.D. in Computer Science at
Carnegie Mellon University, Pittsburgh, PA in 1994. His thesis topic
was
Refinement Types, a customizable type system for ML, a functional
programming language. He earned his M.S. in Computer Science at
Rensselaer Polytechnic Institute,
Troy, NY in 1985. He earned his B.S. (Magna Cum Laude) in Mathematics,
Physics, and
Computer Science at
Mary Washington College, Fredericksburg, VA in 1984.
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