Frederick L. Crabbe IV

Click here for my home page.

Click here for a pdf version of my CV.

Projects

Programming by Demonstration/Social Learning in robots.

Optimal behavior in animals as it applies to robot controllers.

Factoring large numbers with continued fractions.

My dissertation was DiscoTech, an Animats/Neural Networks project which attempts to get neural-net controlled simulated robotic agents to perform construction tasks.

I have worked for Sun Microsystems, on the SpeechActs project.

Education

University of California, Los Angeles	Ph.D.	6/00
University of California, Los Angeles	MS	6/96
Dartmouth College	AB	6/92
University of Edinburgh	Philosophy Exchange Program	12/90

Publications

Journal

Crabbe, F.L. Compromise Strategies for Action Selection plus Appendix, The Philosophical Transactions of the Royal Society, Part B, vol 362, September 2007. (links go to penultimate version, before proofs)
McMath, S., Crabbe F., Joyner D. Continued fractions and Parallel SQUFOF. International Journal of Pure and Applied Mathematics, 34(1), pp. 19-38, 2007.
Crabbe, F., Unifying Undergraduate Artificial Intelligence Robotics: Layers Of Abstraction Over Two Channels AI Magazine, 27(1) pp. 23-38, 2006 (the link goes to the penultimate version, before final proofs).
Bishop, B., Crabbe, F. and Hudock, B., Design of a Low-Cost, Highly Mobile Urban Search and Rescue Robot. Advanced Robotics, 19(8) pp. 797--928, 2005.
Crabbe, F. L. and Dyer, M. G., Goal Directed Adaptive Behavior in Second-Order Neural Networks: The MAXSON family of architectures. Adaptive Behavior, 8(2), 2001.
Martin, P., Crabbe, F., et. al., SpeechActs: A Spoken Language Framework.IEEE Computer, 29(7), 1996. (selected in 2001 as a representative "best-of" paper for the first 10 years of Sun Microsystems Laboratories).

Book Chapters

Martin, P., Crabbe, F., et. al., SpeechActs: A Spoken Language Framework. in Sun Microsystems Laboratories: The First Ten Years 1991-2001, Treichel and Holzer, eds. Sun Labs, 2001. (This is a reprint of the IEEE Computer paper above).
Crabbe, F.L., and Dyer M.G., Goal Directed Adaptive Behavior in Second-Order Neural Networks: Leaning and Evolving in the MAXSON architecture. in Advances in the Evolutionary Synthesis of Intelligent Agents, Honavar and Patel eds. MIT Press, 2001.

Book Reviews

Crabbe, F.L., Unifying Artificial Intelligence Robotics: An Undergraduate Textbook (in pdf) Adaptive Behavior, 9(2), 2001.
This is a review of Robin Murphy's Introduction to AI Robotics, published by MIT Press.

Refereed Conference Papers

Crabbe, F.L., On Compromise Strategies for Action Selection with Proscriptive goals in the proceedings of Modeling Natural Action Selection, 2005.
Crabbe, F.L., Optimal and Non-Optimal Compromise Strategies in Action Selection in the proceedings of the Eighth International Conference on Simulation of Adaptive Behavior (SAB), 2004.
Hudock, B.M., Bishop, B.E. and Crabbe, F.L., On the Development of a Novel Urban Search and Rescue Robot, in Proceedings of the Thirty-Sixth Southeastern Symposium on System Theory, March 2004, pp. 451 - 455
Fong, E., Adams, W., Crabbe, F.L., Schultz, A. C., Representing a 3-D Environment with a 2½-D Map Structure, In the proceedings of the International Conference on Intelligent Robotics and Systems (IROS), 2003.
Crabbe, F.L., On Learning to Select Actions in Multiple Goal Scenariosin the proceedings of the International Conference on Computational Intelligence for Modelling Control and Automation (CIMCA), 2003.
Crabbe, F.L., Compromise Candidates in Positive Goal Scenariosin the proceedings of the Seventh International Conference on Simulation of Adaptive Behavior (SAB), 2002. A longer version is here.
Crabbe, F.L., Multiple Goal Q-Learning: Issues and Functions in the proceedings of the International Conference on Computational Intelligence for Modelling Control and Automation (CIMCA), 2001.
Crabbe, F.L., and Dyer M.G., Observation and Imitation: Goal Sequence Learning in Neurally Controlled Construction Animats: VI-MAXSONin the proceedings of the Sixth International Conference on Simulation of Adaptive Behavior (SAB), 2000.
Crabbe, F.L., and Dyer M.G., Second-order networks for wall-building agents In the proceedings of the International Joint Conference on Neural Networks (IJCNN), 1999. (won a best of session award)
Crabbe, F.L., and Dyer, M.G., Vicarious learning in mobile neurally controlled agents: The V-MAXSON architecture. In the proceedings of the International Conference on Artificial Neural Networks (ICANN), 1999.

Other

Crabbe, F.L. Unifying Undergraduate Artificial Intelligence Robotics: Layers Of Abstraction Over Two ChannelsIn the proceedings of the AAAI Spring Symposium on Hands on Robotics Education, 2004.
Crabbe, R and Dubey, A. eds, Articial Intelligence FAQ: General Questions and Answers. Posted monthly to the moderated newsgroup comp.ai.

Invited Talks

Compromise Strategies for Action Selection. March 3, 2006, Intelligent Systems Program, University of Pittsburgh.
Unifying Undergraduate Artificial Intelligence Robotics March 22, 2004. AAAI Spring Symposium on Hands on Robotics Education, Stanford University.
Artificial Intelligence: Where It's Come From, Where It's Going, and Why It's Hard. February 19, 2004, Society of American Military Engineers, Annapolis, MD.
Undergraduate Robotics: A New Systhesis.April 10, 2003. Olin College of Engineering
Construction and Learning Among Neurally Controlled Animats. March 29, 2000. Emory University.
Learning and Cooperation in Neurally Controlled Agents. March 23, 1999. Intel Reasearch Laboratories.

Other Research Experience

Sun Microsystems Laboratories, Burlington, MA	Summers 95,96,97
Developed discourse models for spoken natural language system: SpeechActs
Rome Labs, US Airforce, Rome, NY	Summer 94.
Investigated self-organization techniques for words using context in large corpora.
Los Alamos National Laboratories, Los Alamos, NM.	Summer 93.
Used Kohonen networks to analyze articulatory speech data for speech guesture recognition.

Teaching Experience

Instructor - Robotics and Machine Vision.
Instructor - Artificial Intelligence.
Instructor - Discrete Mathematics.
Instructor - Introduction to Computer Science in C++.
Instructor - Data Structures in C++.
TA - Introduction to Natural Language Processing.
TA - Introduction to Artificial Intelligence.
TA - Operating Systems.
TA - Introduction to Computer Science in Scheme.

Other Teaching

Sailing Instructor, UCLA Marina Aquatic Center, 1999-2000.
Sailing TA, UCLA Marina Aquatic Center, 1997-1999.

Awards

SpeechActs paper selected for the Sun Microsystems Laboratories retrospective for the first 10 years. 2001.
Best of Session award, International Joint Conference on Neural Networks. 1999.
Student Travel Scholarship, International Joint Conference on Neural Networks. 1999.
John G. Kemeny Computing Prize, Dartmouth College 1992.

Professional Responsibilities

Chair: AAAI Robot Competition Workshop 2004
Program Committee: GECCO 2002, CIMCA 2004
Session Chair: CIMCA 2001, 2003
Reviewing: Trends in Cognitive Science; Journal of Artifical Societies and Social Simulation; Knowledge Discovery in Databases

Convenient Links

Prof Crabbe's Home Page

USNA homepage

CS Dept homepage

CS Dept faculty list