Scott E. Fahlman
Carnegie Mellon University
††† Language Technologies
††† Computer Science Department
Pittsburgh, PA 15213
Office: GHC 6417
Phone: (412) 268-2575
Assistant: Jessica Maguire, GHC 5708
As a researcher, I am primarily interested in Artificial
Intelligence and its applications. I have worked in many areas of AI:
planning, knowledge representation and reasoning, image processing, natural
language processing, document classification, artificial neural networks, and
the use of massively parallel machines to solve AI problems.†
I am also interested in the use of AI techniques to build better user
interfaces and context-aware systems.
Currently, I am working on Scone,
a practical Knowledge Base System (KBS) that can represent a large body of
real-world knowledge and that can efficiently perform the kinds of search and
inference that seem so effortless for us humans.† This work is based in part on the NETL
system that I developed for my Ph.D. thesis in the late 1970s, but the Scone
system is designed to run on standard workstations and servers rather than on
special parallel hardware.
My research group has worked on a number of applications of
Scone, with a special focus on using Scone to support knowledge-based natural
language understanding and generation.†
I believe that Scone-like knowledge base systems will be important
tools in the future, perhaps used in even more ways than database systems are
I am also working on some ideas for new learning architectures
for deep-learning networks, inspired in part by the Cascade Correlation
architecture that I developed in 1990 with Chris Lebiere.
I am a Fellow of the Association for the Advancement of
Artificial Intelligence (AAAI).
I was one of the core developers of the Common Lisp
language, and my research group developed the CMU Common Lisp implementation
which formed the basis for many commercial Common Lisp systems, and now is
maintained as open-source software, along with a split-off version, Steel
Bank Common Lisp.
In 1982, I proposed the use of†† :-)†† and†
:-( ††in posts and Email messages.† These are generally regarded as the first
internet emoticons, and the text-only ancestors of todayís graphical emojis.