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Outstanding Technology Contributions Award

American Association for Artificial Intelligence (AAAI) : Fellow

Association for Computing Machinery : Member

Sensing, Perceiving, and Understanding Actions

Image Retrieval with Textual Label Similarity Features

Beyond Idiot-Savant AI

Possible-World and Multiple-Context Semantics for Common-Sense Action Planning

A semantic model for actions and events in ambient intelligence

NETL: A System for Representing and Using Real-World Knowledge (Artificial Intelligence Series)

Scott Fahlman is a Professor Emeritus in Carnegie Mellon’s School of Computer Science (SCS). That means Scott is formally retired, but still active in research, advising, and departmental activities. Scott's home department is the Language Technologies Institute (LTI). He is also emeritus faculty in the Computer Science Department (CSD).

As a researcher, Scott is primarily interested in Artificial Intelligence and its applications. He has 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. Scott is also interested in the use of AI techniques to build better user interfaces and context-aware systems.

Currently, Scott is 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 Scott developed for his 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.

Scott's 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. Scott believes that Scone-like knowledge base systems will be important tools in the future, perhaps used in even more ways than database systems are used today. 

Scott is also working on some ideas for new learning architectures for deep-learning networks, inspired in part by the Cascade Correlation architecture that he developed in 1990 with Chris Lebiere.

Scott is a Fellow of the Association for the Advancement of Artificial Intelligence (AAAI).

Scott was one of the core developers of the Common Lisp language, and his 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, Scott 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 today’s graphical emojis.

Artificial Neural Networks

Computer Science

Artificial Intelligence

Knowledge Representation

Machine Learning

Personal Website

Wikipedia Page

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DBpedia Profile

Google Scholar Citations

Want to Feel Old? the Emoticon Is 40 :-)

My 24 hours without Facebook, Google, Apple, and Amazon

The 40-year evolution from :-) to 

The emoticon was invented 33 years ago today — here's the professor who created it

Today, the Emoticon Turns 30 :-)

Scientific and Artistic Creativity

Method for transforming message containing sensitive information

Research Faculty Emeritus - Contingent

Don't miss an Interview with Scott E. Fahlman the Inventor of the First Emoticon. 

He'll join Heritage Auctions Communications Director Robert Wilonsky on Wednesday, September 15 at noon central. 

Scott and Robert will be discussing the history behind the first use of the digital smiley face/frowny face in 1982, along with the NFT of the original message in which it appeared.  The NFT will be sold in the upcoming "The First Emoticons :-) An NFT Auction" on September 23.

An Interview with Scott E. Fahlman, Inventor of the First Emoticon :-)

Carnegie Mellon University
Course: 11-785, Intro to Deep Learning
Offering: Fall 2020

For more information, please visit: https://deeplearning.cs.cmu.edu/

Cascade-Correlation and Deep Learning | Guest Lecturer Scott E. Fahlman

This is a guest lecture by Dr. Scott Fahlman, the inventor of Cascade-Correlation.

Carnegie Mellon University
Course: 11-785, Intro to Deep Learning
Offering: Spring 2019
Slides: http://deeplearning.cs.cmu.edu/slides.spring19/Cascor_Deep_Learning_v5.pdf

Related works by Dr. Scott Fahlman can be found here: https://www.cs.cmu.edu/~sef/sefPubs.htm

For more information, please visit: http://deeplearning.cs.cmu.edu/

Content:
• Cascade Correlation Nets

Cascade-Correlation and Deep Learning by Scott Fahlman (Spring 2019)

Media Inquiry