Jacob Beal
|
Scientist
BBN Technologies
10 Moulton Street
Cambridge, MA, USA 02138
I am also a Research Affiliate of MIT CSAIL. |
E-mail: jakebeal@bbn.com
Phone: (617) 873-7676
CV (last updated December 3rd, 2011) |
This page last updated on June 9th, 2011. If you want to
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Ongoing Projects
Other Important Links
About Me
I am a scientist at BBN
Technologies, and a research affiliate
of MIT CSAIL (formerly the AI
lab), where I did my graduate and postdoctoral work. I am also a
fellow of Science Commons.
My main research interests are
spatial computing (an
extension
of amorphous
computing)---the description and control of systems of many
devices distributed to fill a space, where the difficulty of moving
information between devices is strongly dependent on the distance
between them, and building human-like intelligence via collaborative
communication. Both of these pursuits are part of the larger theme of
"engineered self-organization"---the production of predictable
aggregate behavior from locally interacting elements. I also dabble
in a number of other things on the side that attract my interest or
appear as obstacles in my path. At BBN, I am a member of
the Information and
Knowledge Technologies business unit. When at MIT, I work
with Project MAC and
the Genesis Group.
I don't plan to post my non-professional life on this web page.
Spatial Computing (Tutorials/Publications/Talks)
| Human-Level Intelligence (Publications/Talks)
| Engineered Self-Organization
|
Miscellaneous |
Professional Activities | Students
Research Publications & Talks
Publications and talks most likely to be of interest are marked with a
. This is a fairly complete list,
including some early and obsolete work.
Spatial Computing/Amorphous Computing/Synthetic Biology
Tutorials and Survey Talks
I have, at this point, given a number of different tutorials and
survey talks on spatial computing, of varying different lengths and
focus. Typically, these talks break to demonstration in Proto partway
through, using a sequence of examples. This collection of
demonstration code
is may be used to execute the examples.
Publications
Functional
Blueprints:
An Approach to Modularity in Grown Systems, Jacob Beal, Swarm
Intelligence Journal, to appear mid-2011 (preprint, supplementary
information).
Prior conference
version in 7th
International
Conference on Swarm Intelligence (ANTS 2010), September 2010.
- High-Level Programming Languages for Bio-Molecular Systems, Jacob
Beal, Andrew Phillips, Douglas Densmore, Yizhi Cai, chapter in "Design
and Analysis of Bio-Molecular Circuits", edited by Heinz Koeppl,
Douglas Densmore, Mario di Bernardo, Gianluca Setti, Springer, 2011 (preprint).
- TASBE: A
Tool-Chain to Accelerate Synthetic Biological Engineering, Jacob
Beal, Ron Weiss, Douglas Densmore, Aaron Adler, Jonathan Babb, Swapnil
Bhatia, Noah Davidsohn, Traci Haddock, Fusun Yaman, Richard Schantz,
Joseph Loyall, peer-reviewed abstract in 3rd International Workshop on
Bio-Design Automation, June 2011.
- Toward Automated
Selection of Parts for Genetic Regulatory Networks, Fusun Yaman,
Swapnil Bhatia, Aaron Adler, Douglas Densmore, Jacob Beal, Ron Weiss,
and Noah Davidsohn, peer-reviewed abstract in 3rd International
Workshop on Bio-Design Automation, June 2011.
- A Software Stack
for Specification and Robotic Execution of Protocols for Synthetic
Biological Engineering, Viktor Vasilev, Chenkai Liu, Traci Haddock,
Swapnil Bhatia, Aaron Adler, Fusun Yaman, Jacob Beal, Jonathan Babb,
Ron Weiss, and Douglas Densmore, peer-reviewed abstract in 3rd
International Workshop on Bio-Design Automation, June 2011.
- Core Operational
Semanics of Proto, Mirko Viroli, Jacob Beal, and Matteo Casadei,
ACM Symposium on Applied Computing 2011, March 2011.
A
Spatial Computing Approach to Distributed Algorithms, Jacob Beal
and Richard Schantz, 45th Asilomar Conference on
Signals, Systems, and Computers, November 2010.
Distributed Control for
Small Customer Energy Demand Management, Vinayak V. Ranade, and
Jacob Beal, IEEE
SASO 2010, September 2010.
Vinayak's presentation is available here
- A Basis Set of
Operators for Space-Time Computations, Jacob Beal, 3rd Spatial
Computing Workshop, September 2010.
Composable Continuous
Space
Programs for Robotic Swarms, Jonathan Bachrach, Jacob Beal, and
James McLurkin, Neural Computing and Applications, Special Issue on
Swarms, Volume 19, Issue 6 (2010), pages 825-847.
- Laplacian-Based
Consensus
on Spatial Computers, Nelson Elhage and Jacob Beal, 9th
International Conference on Autonomous Agents and Multiagent Systems
(AAMAS 2010), May 2010.
- Dynamically
Defined
Processes for Spatial Computers, Jacob Beal, Spatial Computing
Workshop 2009, September 2009.
Programming Manifolds,
Jacob Beal and Jonathan Bachrach, Dagstuhl Seminar 06361:
Computing Media and Languages for Space-Oriented Computation,
Andre DeHon, Jean-Louis Giavitto, and Frederic Gruau eds,
December, 2006. Updated version published as MIT CSAIL Tech Report
2009-023, June, 2009.
- Fast Self-Stabilization for
Gradients, Jacob Beal, Jonathan Bachrach, Dan Vickery, and Mark
Tobenkin, IEEE DCOSS 2009, June 2009.
An extension and discrete-network proof tightening the bounds
from our previous Constraint and Restoring Force gradient paper.
- Behavior Modes for
Randomized
Robotic Coverage, Jacob Beal, Nikolaus Correll, Leonardo Urbina,
and Jonathan Bachrach, Second International Conference on Robot
Communication and Coordination, April 2009.
Amorphous Computing, Hal Abelson,
Jacob Beal, and Gerald Jay Sussman, article in "Encyclopedia of
Complexity and System Science" Springer-Verlag, March 2009.
Draft available as MIT CSAIL Tech Report
2007-030, June 2007
- Flexible Self-Healing
Gradients,
Jacob Beal, ACM Symposium on Applied Computing 2009, March 2009.
Cells Are Plausible Targets for
High-Level Spatial Languages, Jacob Beal and Jonathan Bachrach,
Spatial Computing Workshop, October 2008.
- Empirical
Characterization of Discretization Error in Gradient-based
Algorithms, Jonathan Bachrach, Jacob Beal, Joshua Horowitz, and
Dany Qumsiyeh, IEEE SASO 2008, October 2008.
PACEM: Cooperative Control
for Citywide Energy Management, Jacob Beal and Hal Abelson,
whitepaper, August 2008.
- Autonomy in Spatial
Computing,
Jonathan Bachrach and Jacob Beal, Third Workshop on Hot Topics in
Autonomic Computing, June 2008.
Fast Self-Healing Gradients,
Jacob
Beal,
Jonathan
Bachrach,
Dan Vickery, and Mark Tobenkin,
ACM Symposium on Applied Computing 2008, March 2008.
Received Best Paper Award (Artificial Intelligence & Agents
Theme); Also available as MIT CSAIL Tech Report 2007-050
- Constraint and
Restoring Force, Jacob Beal, Jonathan Bachrach, and Mark Tobenkin,
MIT CSAIL Tech Report 2007-044, August 2007.
- Continuous
Space-Time Semantics Allow Adaptive Program Execution, Jonathan
Bachrach, Jacob
Beal, and Takeshi Fujiwara. IEEE SASO 2007, July 2007.
Also available as MIT CSAIL Tech Report 2007-038
- Building Spatial
Computers, Jonathan Bachrach and Jacob Beal, MIT CSAIL
Tech Report 2007-017, March 2007.
- Programming a Sensor
Network as
an Amorphous Medium, Jonathan Bachrach and Jacob Beal, extended
abstract for poster at IEEE DCOSS 2006, June 2006.
Our poster at
DCOSS.
Infrastructure for
Engineered Emergence on Sensor/Actuator
Networks, Jacob Beal and Jonathan Bachrach, IEEE Intelligent
Systems, (Vol. 21, No. 2) pp. 10-19, March/April 2006.
Preprint version of the article
and sidebar.
- Amorphous Medium Language,
Jacob
Beal,
Large-Scale
Multi-Agent
Systems Workshop at AAMAS 2005,
July 2005.
- Biologically-Inspired
Robust Spatial Programming,
Jacob Beal and Gerald Sussman, MIT AI Memo 2005-001, January 2005.
- Programming an Amorphous Computational Medium, Jacob Beal,
in Unconventional Programming Paradigms International Workshop,
September 2004. Updated
version
in LNCS Vol. 3566, August 2005.
- RamboNodes for the
Metropolitan Ad Hoc Network,
Jacob Beal and Seth Gilbert, MIT AI Memo 2003-027.
A tightened version was published in Workshop on Dependability
in Wireless Ad Hoc Networks and Sensor Networks, part of the
International Conference on Dependable Systems and Networks, June 2004.
- Near-Optimal Distributed
Failure Circumscription, Jacob Beal, AI Memo 2003-017, August 2003.
- A Robust Amorphous
Hierarchy from Persistent Nodes, Jacob Beal, AI Memo 2003-012, May
2003.
- Persistent Nodes for
Reliable Memory in Geographically Local Networks, Jacob Beal, AI
Memo 2003-011, April 2003.
- Leaderless Distributed
Hierarchy Formation, Jacob Beal, AI Memo 2002-021, December 2002.
This didn't work as well as I wanted, and led me to start
working
with Persistent Nodes for hierarchy formation instead.
- Amorphous
Infrastructure
for Language Implementation, Ryan Newton and Jacob Beal, MIT CSAIL
Tech Report 2006-015, December 2002.
Written as a project in an Amorphous Computing seminar, this
work was the origin of the Persistent Node algorithm. We made an
official recording of it in 2006 to make referencing easier.
Talks
The reader is advised that most spatial computing talks also involve
a live demo that is usually at least indicated in the PDF slides.
- TASBE: A Tool-Chain to
Accelerate Synthetic Biological Engineering, presented at 3rd
International
Workshop on Bio-Design Automation, June 2011.
- Core Operational
Semanics of Proto, presented at ACM Symposium on Applied Computing
2011, March 2011.
- High-Level Languages for Synthetic
Biology, presented at MIT Synthetic Biology Lunch seminar series,
November 2010.
- Spatial Computing,
Synthetic Biology, and Emerging IP Challenges, presented at
Creative Commons, November 2010.
- A
Spatial Computing Approach to Distributed Algorithms, presented at
45th Asilomar Conference on Signals, Systems, and Computers, November
2010.
- PACEM: The Colored Power
Approach to Energy Demand Management, presented at MIT Energy
Initiative Fall 2010 Conference, October 2010.
- A Basis Set of Operators
for Space-Time Computations, presented at 3rd Spatial Computing
Workshop, September 2010.
- Functional Blueprints: An
Approach to Modularity in Grown Systems, presented at 7th
International Conference on Swarm Intelligence (ANTS 2010), September
2010.
Automatic
Compilation
from
High-Level
Languages
to Genetic Regulatory Networks, presented at 2nd
International Workshop on Bio-Design Automation, June 2010.
The two-page abstract
associated with the talk. A prior version was presented at the 2010
Institute of
Biological Engineering Conference.
- Laplacian-Based Consensus
on
Spatial Computers, presented at 9th International Conference on
Autonomous Agents and Multiagent Systems (AAMAS 2010), May 2010.
- Dynamically Defined
Processes for Spatial Computers, presented at Spatial Computing
Workshop 2009, September, 2009.
- Functional blueprints: a means of
adaptive integration?, presented at First International Workshop
on Morphogenetic Engineering, June 2009.
The one-page abstract
associated with the talk.
- Behavior Modes for Randomized
Robotic Coverage, presented at Second International Conference on
Robot Communication and Coordination, April, 2009.
- Flexible Self-Healing Gradients,
presented
at
ACM
Symposium
on Applied Computing 2009, March 2009.
- Empirical
Characterization of
Discretization Error in Gradient-based Algorithms, presented at
IEEE SASO 2008, October 2008.
- Grand Challenge:
Spatial Computing, presented for IEEE SASO 2008 panel on Grand
Challenges, October 2008.
Cells
Are
Plausible
Targets
for
High-Level Spatial Languages, presented at Spatial Computing
Workshop, October 2008. Also presented at 2009 Institute of
Biological Engineering Conference.
Spatial
Computing
and
the
Challenge of Engineered Emergence, presented
at Harvard CRCS Privacy and Security Lunch Seminar, April 2008.
A shorter, related talk, Autonomy
in
Spatial
Computing was presented at the Third Workshop on Hot
Topics in Autonomic Computing, June 2008.
Fast
Self-Healing Gradients, presented
at ACM SAC 2008, March 2008.
Associated paper won the Best Paper Award (Artificial
Intelligence & Agents Theme).
Programming
Cell
Aggregates, presented
to the MIT Synthetic Biology Lunch, January 2008.
- Continuous Time Programming,
presented
at IEEE SASO 2007, July 2007.
- A Brief History of
Amorphous Computing, internal presentation, April 2007.
An informal talk explaining how my work fits into the larger
context of amorphous computing. Take the categories with a grain
of salt.
- Programming Spatial
Computers,
internal presentation, September 2006.
A 5-minute summary of what the Amorphous Medium approach is
all about, for new students at CSAIL.
Programming
Manifolds, presented at
Dagstuhl Seminar 06361, "Computing Media and Languages for
Space-Oriented Computation," Germany, September 2006.
An expansion and update on the continuous semantics of Proto.
- Continuous Semantics of Proto,
internal
presentation,
January
2006.
- Amorphous Medium Language, presented
at the Large-Scale Multi-Agent Systems (LSMAS)
Workshop in AAMAS-05, Netherlands, July 2005.
Contains a good overview of AML abstraction layers, execution
model, and language concepts.
- Amorphous Computing's
Programming Languages,
internal presentation, April 2005.
- Programming an Amorphous Medium,
invited
talk
at
Unconventional Programming Paradigms workshop, France,
September 2004.
- Near-Optimal
Distributed Failure Circumscription, presented at PDCS 2003, Los
Angeles, November 2003.
Human-Level Intelligence
Publications
- Spectrum
Curricula: Design and Initial Results, Jacob Beal, Alice Leung, and
Robert Laddaga, Learning By Demonstration section of 2010 AAAI Robotics
Exhibition, July 2010.
- Spectrum
Curricula for Measuring Teachability, Jacob Beal, Alice Leung, and
Robert Laddaga, Workshop on Agents Learning Interactively from Human
Teachers, at AAMAS 2010, May 2010.
- Enhancing
Methodological
Rigor for Computational Cognitive Science: Complexity Analysis
Jacob Beal and Jennifer Roberts, Cognitive Science Conference, July
2009.
- Enhancing
Methodological Rigor for Computational Cognitive Science: Core Tenets
and Ad Hoc Residuals Jennifer Roberts and Jacob Beal, Cognitive
Science Conference, July 2009.
- Self-Managing
Associative Memory for Dynamic Acquisition of Expertise in High-Level
Domains, Jacob Beal, IJCAI 2009, July 2009.
- Curricula and Metrics
to
Investigate Human-Like Learning Jacob Beal, Paul Robertson, and
Robert Laddaga, AAAI 2009 Spring Symposium "Agents that Learn from
Human Teachers", March, 2009.
- Engineered Robustness by
Controlled Hallucination, Jacob Beal and Gerald Jay Sussman, AAAI
2008 Fall Symposium "Naturally-Inspired Artificial Intelligence",
November 2008.
- Analyzing Composability in a
Sparse Encoding Model of Memorization and Association, Jacob Beal
and Thomas F. Knight, Jr, IEEE 7th International Conference on
Development and Learning (ICDL 2008), August 2008.
- Learning Composable
Signals for
a Cognitive Substrate, Jacob Beal, Cognitive Science Conference,
July 2008.
- Shared Focus of Attention
for
Heterogeneous Agents, Jacob Beal, Short Paper, 7th International
Conference on Autonomous Agents and Multiagent Systems (AAMAS 2008),
May 2008.
-
Learning by
Learning to Communicate, Jacob Beal, PhD Thesis, August 2007.
Also listed as Tech Report MIT-CSAIL-TR-2007-042. If you have
difficulty with the PDF, try it in postscript
-
Developmental Cost for
Models
of Intelligence, Jacob Beal, AAAI 2007 Workshop on Evaluating
Architectures for Intelligence, July 2007.
Also listed as Tech Report MIT-CSAIL-TR-2007-026
- CogSci to AI: It's the
Brainware,
Stupid!, Jacob Beal and Gerald Jay Sussman, AAAI 2006 Spring
Symposium "Between a Rock and a Hard Place: Cognitive Science
Principles Meet AI-Hard Problems", Stanford, March 2006.
- Leveraging Language
into Learning,
PhD Proposal, February 2004.
Previously partially developed in AI Memo 2003-007
- An Algorithm for
Bootstrapping Communications,
Jacob Beal, International Conference on Complex Systems (ICCS), June
2002.
A longer version appears as AI Memo 2001-016, August 2001.
-
Generating Communications Systems
Through Shared Context,
Jacob Beal, Master's Thesis, AI Tech Report 2002-002, January 2002.
Talks
- Spectrum
Curricula
for Measuring Teachability, presented at Workshop on Agents
Learning Interactively from Human Teachers, at AAMAS 2010, May 2010. A
smaller,
updated
version of this talk was presented at the
Robotics Exhibition Workshop at AAAI 2010 in July 2010.
- Enhancing Methodological
Rigor
for Computational Cognitive Science: Complexity Analysis,
presented at Cognitive Science Conference, July 2009.
- Self-Managing Associative
Memory for Dynamic Acquisition of Expertise in High-Level Domains,
presented at IJCAI 2009, July 2009.
- Curricula and Metrics to
Investigate Human-Like Learning, presented at AAAI 2009 Spring
Symposium "Agents that Learn from Human Teachers", March, 2009.
Learning
by
Learning
to
Communicate,
PhD Thesis Defense, MIT CSAIL, August, 2007. Material after page 43
is supplementary slides that were not
used in
the talk, but could be brought up to help respond to questions.
Developmentally Inspired
Cognitive Architectures, presented at AAAI 2007 Workshop on
Evaluating Architectures for Intelligence, July 2007.
- CogSci to AI: It's the Brainware,
Stupid!,
presented at AAAI 2006 Spring Symposium "Between a Rock and a Hard
Place:
Cognitive Science Principles Meet AI-Hard Problems", Stanford, March
2006.
- Integration by Coincidence: Status and
Speculation, presented at MIT Biologically Inspired Cognitive
Architectures (BICA) workshop, January 2006.
Implementing
Valiant's
Neuro-Logic,
internal presentation, December 2005.
- Leveraging Language into Learning,
presented
at
AAAI
2005
Doctoral Consortium, Pittsburgh, July 2005.
- Generating Communication Systems Through
Shared Context, RQE presentation, Spring 2004.
Engineered Self-Organization
Publications
Talks
Principles
for
Engineered
Emergence,
Jacob Beal, Unconventional Computation: Quo Vadis?, March 2007.
(Published as a CSAIL Work Product).
The first talk explicitly about engineered self-organization.
A shorter but more recent version was
presented at ICCS in November, 2007
- Sidestepping Impossibility: Combat
Consensus in the Assassins' Guild., Jacob Beal, MIT CSAIL Student
Workshop 2006, September 2006.
See note above on the associated publication.
- What the Assassins' Guild
Taught Me About Distributed Computing, Jacob Beal, International
Conference on Complex Systems (ICCS) 2006, June 2006.
See note above on the associated publication.
Miscellaneous Work
This is where interesting things that aren't in the main stream of
my
research go. Some of it may be dead ends or re-inventions of the
wheel.
Publications
- Adjustable
Autonomy for Cross-Domain Entitlement Decisions, Jacob Beal,
Jonathan Webb, and Michael Atighetchi, 3rd ACM workshop on Artificial
Intelligence and Security (AISec), October 2010.
Reaction
Factoring and Bipartite Update Graphs Accelerate the Gillespie
Algorithm for Large-Scale Biochemical Systems Sagar Indurkhya and
Jacob Beal, in PLoS ONE 5(1): e8125. doi:10.1371/journal.pone.0008125,
January 2010.
Code for the LOLCAT algorithm is available in MIT DSpace
- LTML - A Language for
Representing Semantic Web Service Workflow Procedures, Mark
Burstein, Robert P. Goldman, Drew V. McDermott, David McDonald, Jacob
Beal, and John Maraist, workshop on "Semantics for the Rest of Us --
Variants of Semantic Web Languages in the Real World", at 8th
International Semantic Web Conference, October 2009
- Research Challenges in
Information Systems for the Next Generation Electric Grid, Richard
Schantz, Jacob Beal, Joseph Loyall, Partha Pal, Kurt Rohloff, and Azer
Bestavros, NITRD Workshop on New Research Directions for Future
Cyber-Physical Energy Systems, June 2009.
- Cognitive Security
for
Personal Devices, Rachel Greenstadt and Jacob Beal, First ACM
workshop on AISec, October 2008.
This is a position paper on attaining more human-like security
by having a device imprint on a broad-spectrum collection of passively
available biometrics. A prior version was published as MIT CSAIL Tech
Report
2008-016, in March 2008.
- Learning From Snapshot
Examples,
Jacob Beal, MIT AI Memo 2005-012, April 2005.
The ideas in this memo need more contextualizion w.r.t. other
machine learning work. As it stands, it documents an abstraction
barrier and learning heuristic I needed and was unable to find
elsewhere. Obsoleted by the IIES mechanism in my PhD thesis.
- Shrinking the Leap of
Faith,
Jacob Beal and Tim Shepard, unpublished draft, March 2005.
This sketches some ideas about exploiting the locality of
wireless
connections to make it easier to establish trust with distant servers
on the Internet.
- Deamplification of DoS Attacks
via Puzzles,
Jacob Beal and Tim Shepard, unpublished draft, October 2004.
Tim was trying to figure out whether the puzzles in the IETF's
proposed Host Identity Protocol were actually a useful defense against
an attacker with a large network of hijacked computers. We found out
that it is.
- Predictive Modelling for
Fisheries
Management in the Colombian Amazon,
Jacob Beal and Sara Bennett,
International Conference on Complex Systems (ICCS) 2004, June 2004.
This was an application of modelling to a real-world problem
that has
petered out because the project it was to support lost funding.
- The
Development
of a Small Autonomous Helicopter Robot for Search and Rescue in
Hostile Environments, Jacob Beal, Carl Blaurock, Keith Bonawitz,
Kyrilian Dyer, Paul Elliott, Paul Eremenko, Eric Feron, Emilio
Frazzoli, Benjamin Ingram, Michael Lester, Manway Liu, Stefan Marti,
Joshua Napoli, Kailas Narendran, and Scott Rasmussen, Proceedings of
the AUVSI Annual Symposium, July, 1999.
When I was an undergrad, I was on the MIT Aerial Robotics Team,
whose purpose was to compete in an unmanned aerial vehicles contest.
I recently discovered online the paper we sent one year to the
conference associated with the contest. I have no idea which portions
I wrote or who even went to the conference.
Talks
- Adjustable Autonomy for
Cross-Domain Entitlement Decisions, presented at 3rd ACM workshop
on Artificial Intelligence and Security (AISec), October 2010.
- Learning from Snapshot Examples,
presented
in
CSAIL
Student
Seminar, MIT, April 2005.
See note above on the associated publication.
- Analyzing Failures as Noise
Presented with Seth Gilbert at LIDS Student Conference 2004, MIT,
January 2004.
I don't know any technique for analyzing the failure response of
a network where nodes are continually being added and removed. Seth
& I
kicked around ideas for a while and brought them to a student
conference
looking for others who might have ideas. We still haven't figured
anything out.
- Organizer, Engineered Self-Organization Seminar Series, ongoing
at BBN Technologies.
- Program Co-Chair, IEEE
International
Conference on Self-adaptive and Self-Organizing Systems
(SASO) 2011, October 2011.
- Organizer, IJCAI 2011 2nd Workshop on
Agents
Learning Interactively from Human Teachers, July 2011.
- Publications Chair, 3rd
International
Workshop
on
Bio-Design Automation (IWBDA), June 2011.
- Guest Editor, Special
Issue on Spatial Computing, ACM Transactions on Autonomous and
Adaptive Systems, scheduled for publication mid-2011.
- Workshop Chair for IEEE
International
Conference
on
Self-adaptive and Self-Organizing Systems
(SASO) 2010.
- Organizer,
Spatial Computing Workshop 2010 at IEEE SASO 2010. Also organized
the 2009 and 2008 workshops.
- Track Chair, Swarm,
Amorphous, Spatial, and Complex Systems Track at 12th International
Symposium on Stabilization, Safety, and Security of Distributed Systems
(SSS 2010)
- Organizer, AAMAS 2010 Workshop on Agents
Learning Interactively from Human Teachers.
- Poster
Chair for IEEE International Conference on Self-adaptive and
Self-Organizing Systems (SASO) 2009.
- Guest Editor, Special
Issue
on
Human-Level
Intelligence, IEEE Intelligent Systems, July
2009.
- Organizer, Naturally-Inspired
Artificial
Intelligence symposium, in AAAI 2008 Fall Symposium
Series, November 2008.
- Organizer, Seminar
on
Dangerous
Ideas, MIT CSAIL seminar series, Fall 2001 to Spring
2004.
- Organizer, Genesis Group internal workshop, Fall 2003.
In addition, I am serving / have recently served on numerous program
committees, and as a reviewer for a number of journals and granting
agencies. Details are in my CV.
Students
Now that I've graduated some students, I'm going to start listing
supervised theses here:
Rants & Ramblings
These are written informally, impolitely, and imprecisely. Don't
take them
seriously unless they happen to inspire you...
- Human-Like vs.
Complementary Intelligence
I sometimes think that AI is incoherent because we mean
different things
when we say "intelligence". This rant tries to pry the definitions
apart
and figure out what human-like intelligence might mean. (October, 2004)
- How do we know when we're
winning?
Thoughts on AI research methodology presented during the Genesis
Group's
internal workshop in 2003.