Department of Computer
Science
Viterbi School of Engineering
University of Southern California
Los Angeles, CA 90089
Tel: (213) 740-4780
EMAIL: rosenbloom@usc.edu
230 S. Thurston Ave.
Los Angeles, CA 90049
Tel: (310) 471-7021
Fax: (310) 471-7021
URL:
http://www-rcf.usc.edu/~rosenblo
B.S. (mathematical sciences),
1976, Stanford University (with distinction)
M.S. (computer science),
1978, Carnegie Mellon University
Ph.D. (computer science),
1983, Carnegie Mellon University
Professor, Computer Science
Department, University of Southern California, 1999-.
Deputy Director, Center for Rapid Automated Fabrication Technologies, Information Sciences Institute, University of Southern California, 2005-.
Programmer, TRW Inc., 6/73 - 9/73, 6/74 - 9/74, Lockheed Missiles & Space Co., Inc., 6/75 - 9/75, Amdahl Corp., 1/76 - 4/76, Systems Control Inc. 4/76 - 8/76.
Graduate Student, Computer Science Department,
Carnegie Mellon University, 1976-1983.
Visiting Graduate Student, Psychology Department,
University of California at San Diego, 1978-1979.
Research Computer Scientist, Computer Science
Department, Carnegie Mellon University, 1983-1984.
Acting Assistant Professor, Computer Science and
Psychology Departments, Stanford University, 1984.
Assistant Professor, Computer Science and Psychology
Departments, Stanford University, 1984-1987.
Assistant Professor, Computer Science Department (on
leave), Stanford University, 1987-1989.
Project Leader, Intelligent Systems Division,
Information Sciences Institute, University of Southern California, 1987-1993.
Research Assistant Professor, Computer Science
Department, University of Southern California, 1988-1990.
Associate Professor, Computer Science Department,
University of Southern California, 1991-1999.
Deputy Director, Intelligent Systems Division, Information Sciences Institute, University of Southern California, 1993-2002.
New Directions, Information Sciences Institute, University of Southern California, 1998-2000.
Director, New Directions, Information Sciences Institute, University of Southern California, 2000-2002.
Associate Director, Information Sciences Institute, University of Southern California, 2002-2007.
Deputy Director, Information Sciences Institute, University of Southern California, 2007.
American Association for
Artificial Intelligence
American Assoc. for the
Advancement of Science
Association for Computing
Machinery
Cognitive Science Society
IEEE Computer Society
Sigma Xi
National Merit scholarship,
1972.
NSF graduate fellowship,
1976-1979
Phi Beta Kappa, 1976
IBM fellowship, 1981-1982
Nominated for publisherÕs prize, Fourth National Conference on Artificial Intelligence (AAAI-84),
1984. (With J. E. Laird & A.
Newell)
Award for best written paper, Ninth National Conference on Artificial Intelligence (AAAI-91), 1991. (With A. Golding)
The American Voice Input/Output Society Gary K. Poock
Editor's Award for the Outstanding Paper in the AVIOS Journal, 1993. (With A. Golding)
Fellow of the American Association for Artificial
Intelligence (AAAI), 1994.
Special issue, Tutorials
in Quantitative Methods for Psychology, celebrating 25th
anniversary of article on Mechanisms of Skill Acquisition and the Law of
Practice, by A. Newell and P. S. Rosenbloom.
Chair: ACM Special Interest
Group on Artificial Intelligence (SIGART), 1987-1989.
Councilor: American
Association for Artificial Intelligence (AAAI), 1992-1995.
Program Co-Chair: National
Conference on Artificial Intelligence (AAAI), 1992.
Conference Chair: American
Association for Artificial Intelligence (AAAI), 1998-2001.
Chair: Soar Workshop, 1987,
1990, 1993.
Chair: DARPA ISAT Study on
ÒRobot-Agent-Person (RAP) Teams for Emerging ThreatsÓ, 2001.
Co-Chair: NSF Workshop on
ÒResponding to the UnexpectedÓ, 2002.
Editor: Machine Learning, 1988-1991.
Member:
Advisory
Board:
Journal of Artificial Intelligence Research, 1993-1998.
Editorial
Board:
Machine Learning, 1986-1988, 1992-1995.
Applied Intelligence, 1991-1995.
Journal of Artificial Intelligence Research, 1993-1996.
Cognitive Science, 1996-2000.
IEEE Intelligent Systems, 1999-2003.
Program
and/or Organizing Committee:
International
Joint Conference on Artificial Intelligence (IJCAI), 1987.
National
Conference on Artificial Intelligence (AAAI), 1986, 1987, 1988, 1991, 1996.
International
Machine Learning Conference/Workshop, 1988, 1989, 1991, 1993, 1994.
AAAI
Spring Symposium on Integrated Intelligent Architectures, 1991.
ML-91
Workshop on Computational Models of Human Learning, 1991.
International
Workshop on Knowledge Compilation and Speedup Learning, 1993.
International
Round-Table on Abstract Intelligent Agent (AIA), 1993, 1994.
International
Conference on AI Planning Systems, 1994.
International
Conference on Multiagent Systems, 1996.
Other Professional Committees:
AAAI Fellows Selection Committee, 1997-1999.
AAAI Awards Committee, 1999-2000.
DARPA Information Science and Technology (ISAT) Study Group, 1999-2002.
NSF Review Panel, 2008.
Contributor:
AFOSR
Working Group on ÒArchitectures for Intelligent Real-Time Problem Solving'',
1989.
DARPA
ISAT Study on ÒMachine Learning'', 1989.
DARPA
ISAT Study on ÒSimulation Technology Assessment'', 1992.
DARPA
ISAT Study on ÒTotal Recall: Combining Human & Digital MemoryÓ, 2000.
DARPA
ISAT Study on ÒMassively Populated Persistent WorldsÓ, 2002.
AAAI
Report to ARPA on ÒTwenty First Century Intelligent Systems'', 1994.
AAAI
Report to NSF on ÒIntelligent Systems in the NII'', 1994-1995.
DoD
Working Group on ÒComputer Generated Forces'', 1998.
Rapporteur: National Academy Research Briefing Panel on Cognitive Science & Artificial Intelligence, 1983.
Dirk Ruiz, Learning
and Problem Solving: What is Learned while Solving the Towers of Hanoi,
Stanford University, Department of Psychology, 1987.
Milind Tambe, Eliminating
Combinatorics from Production Match, Carnegie Mellon University, School of
Computer Science, 1991. (Co-advised with Allen Newell)
Andrew Golding, Pronouncing
Names by a Combination of Rule-Based and Case-Based Reasoning, Stanford
University, Department of Computer Science, 1991.
Amy Unruh, Using
Automatic Abstraction for Problem-Solving and Learning, Stanford
University, Department of Computer Science, 1993.
Soowon Lee, Multi-Method
Planning, University of Southern California, Department of Computer
Science, 1994.
Robert Doorenbos, Production
Matching for Large Learning Systems, Carnegie Mellon University, School of
Computer Science, 1995.
(Co-advised with Jill Fain Lehman)
Benjamin Smith, Induction
as Knowledge Integration, University of Southern California, Department of
Computer Science, 1995.
Jihie Kim, Bounding
the Cost of Learned Rules: A Transformation Approach, University of
Southern California, Department of Computer Science, 1996.
Bonghan Cho, Efficient
Production System Match and Constraint Satisfaction Problem Solving,
University of Southern California, Department of Computer Science, 1996.
(Co-advised with Milind Tambe)
ÒIntroduction to Computing BÓ, Carnegie Mellon
University, Spring 1980.
ÒArtificial Intelligence for PsychologistsÓ, Stanford
University, Fall 1984, Fall 1985.
ÒCognitive ArchitectureÓ, Stanford University, Spring
1985, Spring 1987.
ÒComputer Science ColloquiumÓ, Stanford University,
Spring 1985.
ÒLearning in Man and MachineÓ, Stanford University,
Winter 1985-86.
ÒCognitive Introduction to Artificial IntelligenceÓ,
Stanford University, Winter 1986-87.
ÒMachine LearningÓ, University of Southern California,
Spring 1989.
ÒAdvanced Machine LearningÓ, University of Southern
California, Spring 1990, Fall 1990, Spring 1991, Spring 1993.
ÒArtificial IntelligenceÓ, University of Southern
California, Fall 1991, Fall 1994.
ÒIntegrated Intelligent SystemsÓ, University of
Southern California, Fall 1992.
ÒIntroduction to Artificial IntelligenceÓ, University
of Southern California, Fall 1993, Spring 2008.
ÒNew Perspective/Directions for ComputingÓ, University
of Southern California, Fall 2007.
ÒFoundations of Artificial IntelligenceÓ, University of
Southern California, Spring 2008.
Gift in support of research, Hughes Aircraft Company
Research Laboratories, 1985, $20,000.
Gift in support of research, Hughes Aircraft Company
Research Laboratories, 1987, $25,000.
ÒThe SOAR ProjectÓ, Hughes Aircraft Company Research
Laboratories, 3/1/88 to 12/31/88, $20,044.[1]
ÒResearch on Abstraction in SoarÓ, Hughes Aircraft
Company Research Laboratories, 1/1/89 to 9/30/89, $24,325.1
ÒProposal for Research on Soar: An Architecture for
General Intelligence and LearningÓ, Defense Advanced Research Projects Agency
(DARPA), 8/22/86 to 3/31/90, $487,859.
ÒResearch on Abstraction in SoarÓ, Hughes Aircraft
Company Research Laboratories, 1/1/90 to 6/30/90, $20,159.1
ÒResearch on SoarÓ, National Aeronautics and Space
Administration (NASA) Ames Research Center, 1/1/88 to 12/31/90, $211,688.
Gift in support of Neuro-Soar research, Hughes
Aircraft Company Research Laboratories, 1990 to 1991, $37,859.
ÒExperiments in Skill Acquisition: Integrating
explanation-based learning with abstraction, macro-operators, and nonlinear
plansÓ, Defense Advanced Research Projects Agency (DARPA) and the Office of
Naval Research (ONR), 5/1/89 to 4/30/92, $431,013.
Gift in support of Neuro-Soar research, Hughes
Aircraft Company Research Laboratories, 1991 to 1992, $30,000.
Gift in support of research on simulation agents,
Hughes Aircraft Company Research Laboratories, 1992, $5,400.
ÒTowards Knowledge-Based Simulated AgentsÓ, Defense
Advanced Research Projects Agency (DARPA), 6/18/92 to 6/17/93, $138,278
($50,000 of this is a subcontract to Carnegie Mellon University).
ÒRosenbloom Powell 94Ó, Powell Foundation, 7/1/93 to
9/30/94, $16,100.
ÒIntelligent automated forces for SIMNETÓ, Office of
Naval Research (ONR), 4/1/91 to 12/31/94, $160,000.
ÒPowell/RosenbloomÓ, Powell Foundation, 1/1/93 to
12/31/94, $11,500.
ÒLearning to Use DevicesÓ, National Aeronautics and
Space Administration (NASA) Ames Research Center, 1/1/91 to 5/31/95, $270,854.
ÒIntelligent Automated Agents and Analysis Tools for
Simulated EnvironmentsÓ, Advanced Research Projects Agency (ARPA) and Naval
Research Laboratory (NRL), as a subcontract from the University of Michigan,
7/15/92 to 7/14/95, $1,361,234.
Grant in support of the Soar theory of human
cognition, James S. McDonnell Foundation (by way of Carnegie Mellon
University), 1992 to 1995, $20,000.
ÒAssessment of Soar for Command Decision MakingÓ, US
Army Artificial Intelligence Center, 6/19/96 to 9/19/96, $7,500.
ÒIntelligent Forces for Simulated EnvironmentsÓ,
Defense Advanced Research Projects Agency (DARPA) and the Naval Command,
Control, and Ocean Surveillance Center, RDTE Division (NRaD), 2/15/95 to
2/14/98, $5,244,988.
ÒAdaptive Agent and Agent-Group Modeling for Automated
Target IdentificationÓ, Wright-Patterson AFB, as a subcontract from Sverdrup
Technology, Inc., 1/1/97 to 6/30/98, $99,991. (co-PI)
ÒFlexible Group BehaviorÓ, Defense Advanced Research
Projects Agency (DARPA), as a subcontract from The University of Michigan,
4/28/97 to 9/30/99, $1,525,683.
ÒAdaptive Synthetic ForcesÓ, Office of Naval Research
(ONR), 1/1/98 to 12/31/00, $304,032.
ÒDigital Government:
Responding to the UnexpectedÓ, National Science Foundation (NSF), 3/15/02 to
2/29/04, $232,633.
ÒHeterogeneous, Peer-to-Peer,
Robot-Agent-Person (RAP) TeamsÓ, Defense Advanced Research Projects Agency
(DARPA), 7/1/02 to 10/27/03, $450,000.
Rosenbloom, P. S. (1983). The Chunking of Goal Hierarchies: A Model of Practice and Stimulus-Response Compatibility. , Carnegie-Mellon University. (Available in Laird, J. E., Rosenbloom, P. S., and Newell, A. Universal Subgoaling and Chunking: The Automatic Generation and Learning of Goal Hierarchies, Hingham, MA: Kluwer, 1986.)
Laird,
J. E., Rosenbloom, P. S. & Newell, A. (1986). Universal Subgoaling and Chunking: The Automatic Generation and
Learning of Goal Hierarchies. Hingham, MA: Kluwer Academic Publishers.
Laird,
J. E., Langley, P., Mitchell, T. M. & Rosenbloom, P. S. (Eds.). (1991). Working Notes of the AAAI Spring Symposium
on Integrated Intelligent Architectures. Stanford, CA: AAAI. (Appeared as a
special section of SIGART Bulletin,
Vol. 2, Num. 4, August 1991.)
Rosenbloom,
P. S., Laird, J. E. & Newell, A. (Eds.). (1993). The Soar Papers: Research on Integrated Intelligence (Volume One).
Cambridge, MA: MIT Press.
Rosenbloom,
P. S., Laird, J. E. & Newell, A. (Eds.). (1993). The Soar Papers: Research on Integrated Intelligence (Volume Two).
Cambridge, MA: MIT Press.
Arens,
Y. & Rosenbloom, P. (Eds.). (2002). Responding
to the Unexpected: Report of the Workshop Held in New York City, February 27
– March 1, 2002.
(Available from USC/ISI or at http://www.isi.edu/crue.)
Rosenbloom, P. S. (In Preparation). Computing Compass: Exploring Computing in a
Multidisciplinary Context.
Rosenbloom,
P. S. (1982). A world-championship-level Othello program. Artificial Intelligence, 19, 279-320.
Rosenbloom,
P. S., Laird, J. E., McDermott, J., Newell, A. & Orciuch, E. (1985).
R1-Soar: An experiment in knowledge-intensive programming in a problem-solving
architecture. IEEE Transactions on
Pattern Analysis and Machine Intelligence, 7, 561-569.
Laird,
J. E., Rosenbloom, P. S. & Newell, A. (1986). Chunking in Soar: The anatomy
of a general learning mechanism. Machine
Learning, 1, 11-46.
Laird,
J. E., Newell, A.,& Rosenbloom, P. S. (1987). Soar: An architecture for
general intelligence. Artificial
Intelligence, 33, 1-64.
Tambe,
M., Newell, A. & Rosenbloom, P. S. (1990). The problem of expensive chunks
and its solution by restricting expressiveness. Machine Learning, 5, 299-348.
Rosenbloom,
P. S., Laird, J. E., Newell, A. & McCarl, R. (1991). A preliminary analysis
of the Soar architecture as a basis for general intelligence. Artificial Intelligence, 47, 289-325.
Golding,
A. & Rosenbloom, P. S. (1993). A comparison of Anapron with seven other
name-pronunciation systems. Journal of
the American Voice I/O Society, 14, 1-21.
Tambe,
M. & Rosenbloom, P. S. (1994). Investigating production system
representations for non-combinatorial match. Artificial Intelligence, 68, 155-199.
Golding,
A. R. & Rosenbloom, P. S. (1996). Improving accuracy by combining
rule-based and case-based reasoning. Artificial
Intelligence, 87, 215-254.
Tambe,
M. & Rosenbloom, P. S. (1996). Event tracking in a dynamic multi-agent
environment. Computational Intelligence,
12, 499-521.
Kim,
J. & Rosenbloom, P. S. (2000). Bounding the cost of learned rules. Artificial Intelligence, 120, 43-80.
Rosenbloom,
P. S. (2004). A new framework for
Computer Science and Engineering. IEEE Computer, 37, 31-36.
Rosenbloom,
P. S. (2006). A cognitive odyssey:
From the power law of practice to a general learning mechanism and beyond. Tutorials in Quantitative Methods for
Psychology, 2, 43-51.
Rosenbloom, P. S. (Submitted). The great
scientific domains and society: A metascience perspective from the domain of
computing. The International
Journal of Science in Society.
Rosenbloom,
P. S. (1984). Review of "The Modularity of Mind" by J. A. Fodor. American Scientist, 72, 634.
Rosenbloom,
P. S. (1987). Weak versus strong claims about the algorithmic level: Commentary
on "Methodologies for studying human knowledge" by J. R. Anderson. The Behavioral and Brain Sciences, 10,
490.
Laird,
J. E., Hucka, M., Huffman, S. B.,& Rosenbloom, P. S. (1991). An analysis of
Soar as an integrated architecture. SIGART
Bulletin, 2, 98-103.
Rosenbloom,
P. S. (1991). Climbing the hill of cognitive-science theory. Psychological Science, 2, 308-311.
Laird,
J. E. & Rosenbloom, P. S. (1991, Winter). Report on the AAAI 1991 Spring
Symposium on "Integrated Intelligent Architectures". AI Magazine, 12, 35-36.
Laird,
J. E. & Rosenbloom, P. S. (1992, Winter). In pursuit of mind: The research
of Allen Newell. AI Magazine, 13,
17-45.
Rosenbloom,
P. S. & Laird, J. E. (1993). On
Unified Theories of Cognition: A response to the reviews. Artificial Intelligence, 59, 389-413.
Tambe,
M., Johnson, W. L., Jones, R. M., Koss, F., Laird, J. E., Rosenbloom, P. S.
& Schwamb, K. B. (1995, Spring). Intelligent agents for interactive
simulation environments. AI Magazine, 16,
15-39.
Arens, Y. & Rosenbloom, P. S. (2003). Responding to the
Unexpected. Communications of the ACM, 46,
33-35.
Dennning, P. J. &
Rosenbloom, P. S. (2009).
Computing: The fourth great domain of science. Communications of the
ACM. In Preparation.
Rosenbloom,
P. S. & Newell, A. (1982). Learning by chunking: Summary of a task and a
model, Proceedings of the National
Conference on Artificial Intelligence (pp. 255-257). Pittsburgh, PA: AAAI.
Laird,
J. E., Rosenbloom, P. S. & Newell, A. (1984). Towards chunking as a general
learning mechanism, Proceedings of the
National Conference on Artificial Intelligence (pp. 188-192). Austin, TX:
AAAI.
John,
B. E., Rosenbloom, P. S. & Newell, A. (1985). A theory of stimulus-response
compatibility applied to human-computer interaction. In L. B. a. B. Curtis
(Ed.), Proceedings of CHI '85, Human
Factors in Computing Systems (pp. 213-219). San Francisco, CA: ACM/SIGCHI.
Rosenbloom,
P. S. & Laird, J. E. (1986). Mapping explanation-based generalization onto
Soar, Proceedings of the Fifth National
Conference on Artificial Intelligence (pp. 561-567). Philadelphia, PA:
AAAI.
Golding,
A. R., Rosenbloom, P. S. & Laird, J. E. (1987). Learning general search
control from outside guidance, Proceedings
of the Tenth International Joint Conference on Artificial Intelligence (pp.
334-337). Milan, Italy: IJCAII.
Rosenbloom,
P. S., Laird, J. E. & Newell, A. (1987). Knowledge level learning in Soar, Proceedings of Sixth National Conference on
Artificial Intelligence (pp. 499-504). Seattle, WA: AAAI.
Nayak,
P., Gupta, A. & Rosenbloom, P. S. (1988). Comparison of the Rete and Treat
production matchers for Soar (a summary), Proceedings
of the Seventh National Conference on Artificial Intelligence (pp.
693-698). St. Paul, MN: AAAI.
Tambe,
M. & Rosenbloom, P. S. (1989). Eliminating expensive chunks by restricting
expressiveness, Proceedings of the
Eleventh International Joint Conference on Artificial Intelligence (pp.
731-737). Detroit, MI: IJCAII.
Unruh,
A. & Rosenbloom, P. S. (1989). Abstraction in problem solving and learning,
Proceedings of the Eleventh International
Joint Conference on Artificial Intelligence (pp. 681-687). Detroit, MI:
IJCAII.
Laird,
J. E. & Rosenbloom, P. S. (1990). Integrating execution, planning, and
learning in Soar for external environments, Proceedings
of the Eighth National Conference on Artificial Intelligence (pp.
1022-1029). Boston, MA: MIT Press.
Rosenbloom,
P. S. & Aasman, J. (1990). Knowledge level and inductive uses of chunking
(EBL), Proceedings of the Eighth National
Conference on Artificial Intelligence (pp. 821-827). Boston, MA: MIT Press.
Smith,
B. D. & Rosenbloom, P. S. (1990). Incremental Non-Backtracking Focusing: A
polynomially bounded generalization algorithm for version spaces, Proceedings of the Eighth National
Conference on Artificial Intelligence (pp. 848-853). Boston, MA: MIT Press.
Tambe,
M. & Rosenbloom, P. S. (1990). A framework for investigating production
system formulations with polynomially bounded match, Proceedings of the Eighth National Conference on Artificial
Intelligence (pp. 693-700). Boston, MA: MIT Press.
Cho,
B., Rosenbloom, P. S. & Dolan, C. P. (1991). Neuro-Soar: A neural-network
architecture for goal-oriented behavior, Proceedings
of the Thirteenth Annual Conference of the Cognitive Science Society (pp.
673-677). Chicago, IL: Lawrence Erlbaum Associates.
Golding,
A. & Rosenbloom, P. S. (1991). Improving rule-based systems through
case-based reasoning, Proceedings of the
Ninth National Conference on Artificial Intelligence (pp. 22-27). Anaheim,
CA: MIT Press.
Kim,
J. & Rosenbloom, P. S. (1993). Constraining learning with search control, Machine Learning: Proceedings of the Tenth
International Conference (pp. 174-181). San Mateo, CA: Morgan Kaufmann.
Lee,
S. & Rosenbloom, P. S. (1993). Granularity in multi-method planning, Proceedings of the Eleventh National
Conference on Artificial Intelligence (pp. 486-491). Washington, D.C.:
AAAI.
Tambe,
M. & Rosenbloom, P. S. (1993). On the masking effect, Proceedings of the Eleventh National Conference on Artificial
Intelligence (pp. 526-533). Washington, D.C.: AAAI.
Tambe,
M. & Rosenbloom, P. S. (1995). RESC: An approach for real-time, dynamic
agent tracking, Proceedings of the 14th
International Joint Conference on Artificial Intelligence (pp. 103-110).
MontrŽal, Canada: IJCAII.
Kim,
J. & Rosenbloom, P. S. (1996). Learning efficient rules by maintaining the
explanation structure, Proceedings,
Thirteenth National Conference on Artificial Intelligence (pp. 763-770).
Portland, OR: AAAI.
Hill,
R. W., Chen, J., Gratch, J., Rosenbloom, P. S. & Tambe, M. (1997).
Intelligent agents for the synthetic battlefield: A company of rotary wing
aircraft, Proceedings, Ninth Conference on
Innovative Applications of Artificial Intelligence (pp. 1006-1012).
Providence, RI: AAAI.
Hill,
R., Gratch, J. & Rosenbloom, P. (2000). Flexible group behavior: Virtual
commanders for synthetic battlespaces.
In C. Sierra, M. Gini & J. S. Rosenschein (Eds.), Proceedings of the Fourth International
Conference on Autonomous Agents (pp. 31-38). Barcelona, Spain: ACM Press.
Scerri, P., Pynadath, D. V., Johnson, L., Rosenbloom, P., Schurr, N.
& Tambe, M. (2003). A prototype infrastructure for distributed robot-agent-person
teams. In Proceedings of the Second International Joint Conference on Autonomous
Agents & Multiagent Systems (pp. 433-440). Melbourne, Australia: ACM Press.
Rosenbloom, P. S.
(2009). Towards a new cognitive hourglass: Uniform implementation of cognitive
architecture via factor graphs. Submitted to the Twenty-First International
Joint Conference on Artificial Intelligence.
Rosenbloom, P. S.
(Submitted). Towards a new cognitive hourglass: Uniform implementation of
cognitive architecture via factor graphs.
Submitted to the 9th
International Conference on Cognitive Modeling (ICCM Õ09).
Newell,
A. & Rosenbloom, P. S. (1981). Mechanisms of skill acquisition and the law
of practice. In J. R. Anderson (Ed.), Cognitive
Skills and their Acquisition (pp. 1-55). Hillsdale, NJ: Erlbaum.
Rosenbloom,
P. S. & Newell, A. (1986). The chunking of goal hierarchies: A generalized
model of practice. In R. S. Michalski, J. G. Carbonell & T. M. Mitchell
(Eds.), Machine Learning: An Artificial
Intelligence Approach, Volume II (pp. 247-288). Los Altos, CA: Morgan
Kaufmann Publishers, Inc.
Rosenbloom,
P. S., Laird, J. E., Newell, A., Golding, A. & Unruh, A. (1986). Current
research on learning in Soar. In T. M. Mitchell, J. G. Carbonell & R. S.
Michalski (Eds.), Machine Learning: A
Guide to Current Research (pp. 281-290). Boston, MA: Kluwer Academic Press.
Rosenbloom,
P. S. & Newell, A. (1987). Learning by chunking: A production-system model
of practice. In D. Klahr, P. Langley & R. Neches (Eds.), Production System Models of Learning and
Development (pp. 221-286). Cambridge, MA: Bradford Books/MIT Press.
Rosenbloom,
P. S. (1987). Best-first search. In S. C. Shapiro (Ed.), Encyclopedia of Artificial Intelligence (pp. 998-1000). New York,
NY: John Wiley and Sons.
Rosenbloom,
P. S. (1988). A world-championship-level Othello program. In D. N. L. Levey
(Ed.), Computer Games II (pp.
365-405). New York, NY: Springer-Verlag. (Reformatted reprint of Rosenbloom, P.
S., 1982, in Artificial Intelligence,
Vol. 19, pp. 279-320.)
Rosenbloom,
P. S. & Newell, A. (1988). An integrated computational model of
stimulus-response compatibility and practice. In G. H. Bower (Ed.), The Psychology of Learning and Motivation,
Volume 21 (pp. 1-52). San Diego, CA: Academic Press.
Rosenbloom,
P. S., Laird, J. E. & Newell, A. (1988). Meta-levels in Soar. In P. Maes
& D. Nardi (Eds.), Meta-Level
Architectures and Reflection (pp. 227-240). Amsterdam, Netherlands: North
Holland.
Rosenbloom,
P. S., Laird, J. E. & Newell, A. (1989). The chunking of skill and
knowledge. In B. A. G. Elsendoorn & H. Bouma (Eds.), Working Models of Human Perception (pp. 391-410). London, England:
Academic Press.
Newell,
A., Rosenbloom, P. S. & Laird, J. E. (1989). Symbolic architectures for
cognition. In M. I. Posner (Ed.), Foundations
of Cognitive Science (pp. 93-131). Cambridge, MA: Bradford Books/MIT Press.
Rosenbloom,
P. S. (1989). A symbolic goal-oriented perspective on connectionism and Soar.
In R. Pfeifer, Z. Schreter, F. Fogelman-Soulie & L. Steels (Eds.), Connectionism in Perspective (pp.
245-263). Amsterdam, Netherlands: Elsevier (North-Holland).
Laird,
J. E., Rosenbloom, P. S. & Newell, A. (1990). Chunking in Soar: The anatomy
of a general learning mechanism. In J. W. S. a. T. G. Dietterich (Ed.), Readings in Machine Learning (pp.
555-572). San Mateo, CA: Morgan Kaufmann. (Reprint of Laird, Rosenbloom, and
Newell, 1986, in Machine Learning,
Vol. 1, pp. 11-46.)
Mitchell,
T. M., Buchanan, B. G., DeJong, G. F., Dietterich, T. G., Rosenbloom, P. S.
& Waibel, A. H. (1990). Machine learning. In J. F. Traub, B. J. Grosz, B.
W. Lampson & N. J. Nilsson (Eds.), Annual
Review of Computer Science, Volume 4 (pp. 417-433). Palo Alto, CA: Annual
Reviews Inc.
Newell,
A., Yost, G. R., Laird, J. E., Rosenbloom, P. S. & Altmann, E. (1991).
Formulating the problem space computational model. In R. F. Rashid (Ed.), CMU Computer Science: A 25th Anniversary
Commemorative (pp. 255-293). New York, NY: ACM Press/Addison-Wesley.
Rosenbloom,
P. S., Laird, J. E., McDermott, J., Newell, A. & Orciuch, E. (1991).
R1-Soar: An experiment in knowledge-intensive programming in a problem-solving
architecture. In O. N. Garcia & Y. T. Chen (Eds.), Knowledge-Based Systems: Fundamentals and Tools (pp. 353-361). Los
Alamitos, CA: IEEE Computer Society Press. (Reprint of Rosenbloom et al, 1985, in IEEE Transactions on Pattern Analysis and Machine Intelligence, Vol.
7, pp. 561-569.)
Rosenbloom,
P. S., Newell, A. & Laird, J. E. (1991). Towards the knowledge level in
Soar: The role of the architecture in the use of knowledge. In K. VanLehn
(Ed.), Architectures for Intelligence
(pp. 75-111). Hillsdale, NJ: Erlbaum.
Rosenbloom,
P. S., Laird, J. E., Newell, A. & McCarl, R. (1992). A preliminary analysis
of the Soar architecture as a basis for general intelligence. In D. Kirsh
(Ed.), Foundations of Artificial
Intelligence (pp. 289-325). Cambridge, MA: Bradford Books/MIT Press.
(Reprint of Rosenbloom et al, 1991,
in Artificial Intelligence, vol. 47,
pp. 289-325.)
Golding,
A. & Rosenbloom, P. S. (1993). Improving rule-based systems through
case-based reasoning. In B. G. Buchanan & D. C. Wilkins (Eds.), Readings in Knowledge Acquisition and
Learning: Automating the Construction and Improvement of Expert Systems
(pp. 759-764). San Mateo, CA: Morgan Kaufmann. (Reprint of Golding and
Rosenbloom, 1991, in Proceedings of the
Ninth National Conference on Artificial Intelligence, pp. 22-27.)
Laird,
J. E., Rosenbloom, P. S. & Newell, A. (1993). Chunking in Soar: The anatomy
of a general learning mechanism. In B. G. B. a. D. C. Wilkins (Ed.), Readings in Knowledge Acquisition and
Learning: Automating the Construction and Improvement of Expert Systems
(pp. 518-535). San Mateo, CA: Morgan Kaufmann. (Reprint of Laird, Rosenbloom,
and Newell, 1986, in Machine Learning,
Vol. 1, pp. 11-46.)
Rosenbloom,
P. S. & Newell, A. (1993). Symbolic Architectures: Organization of
Intelligence. In T. A. Poggio & D. A. Glaser (Eds.), Exploring Brain Functions: Models in Neuroscience (pp. 225-231).
Chichester, England: John Wiley and Sons.
Rosenbloom,
P. S., Lee, S. & Unruh, A. (1993). Bias in planning and explanation-based
learning. In S. Minton (Ed.), Machine
Learning Methods for Planning (pp. 197-232). San Mateo, CA: Morgan
Kaufmann.
Rosenbloom,
P. S., Lee, S. & Unruh, A. (1993). Bias in planning and explanation-based
learning. In S. Chipman & A. L. Meyrowitz (Eds.), Foundations of Knowledge Acquisition: Cognitive Models of Complex
Learning (pp. 269-307). Hingham, MA: Kluwer Academic Publishers.
(Reformatted reprint of a version of Rosenbloom, P. S., Lee, S. and Unruh, A.,
1993, in Machine Learning Methods for
Planning.)
Washington,
R. & Rosenbloom, P. S. (1993). Applying Problem Solving and Learning to
Diagnosis. In P. S. Rosenbloom, J. E. Laird & A. Newell (Eds.), The Soar Papers: Research on Integrated
Intelligence (Volume One) (pp. 674-687). Cambridge, MA: MIT Press.
Polk,
T. A. & Rosenbloom, P. S. (1994). Task-independent constraints on a unified
theory of cognition. In F. B. a. J. Grafman (Ed.), Handbook of Neuropsychology, Volume 9 (pp. 393-407). Amsterdam,
Netherlands: Elsevier.
Rosenbloom,
P. S. & Laird, J. E. (1994). On Unified
Theories of Cognition: A response to the reviews. In W. J. Clancey, S. W.
Smoliar & M. J. Stefik (Eds.), Contemplating
Minds: A Forum for Artificial Intelligence (pp. 141-165). Cambridge, MA:
MIT Press. (Reprint of Rosenbloom and Laird, 1993, in Artificial Intelligence, vol. 59, pp. 389-413.)
Laird,
J. E., Newell, A. & Rosenbloom, P. S. (1995). Soar: An architecture for
general intelligence. In N. S. a. A. J. Chapman (Ed.), Cognitive Science (Volume I) : Edward Elgar Publishing Ltd.
(Reprint of Laird, Newell, and Rosenbloom, 1987, in Artificial Intelligence, Vol. 33, pp. 1-64.)
Laird,
J. E. & Rosenbloom, P. S. (1996). The evolution of the Soar cognitive
architecture. In D. M. Steier and T. M. Mitchell (Ed.), Mind Matters: A Tribute to Allen Newell (pp. 1-50). Mahwah, NJ:
Lawrence Erlbaum Associates.
Rosenbloom,
P. S. (1996). Learning matters. In D. M. Steier & T. M. Mitchell (Eds.), Mind Matters: A Tribute to Allen Newell
(pp. 111-118). Mahwah, NJ: Lawrence Erlbaum Associates.
Tambe,
M. & Rosenbloom, P. S. (1996). Architectures for agents that track other
agents in multi-agent worlds. In M. Wooldridge, J. P. MŸller & M. Tambe
(Eds.), Intelligent Agents II - Agent
Theories, Architectures, and Languages (pp. 156-170): Springer.
Lehman,
J. F., Laird, J. E. & Rosenbloom, P. S. (1998). A gentle introduction to
Soar, an architecture for human cognition. In S. S. a. D. Scarborough (Ed.), An Invitation to Cognitive Science (Second
Edition), Volume 4: Methods, Models and Conceptual Issues (pp. 211-253).
Cambridge, MA: MIT Press.
Rosenbloom,
P. S., Laird, J. E., Newell, A. & McCarl, R. (1998). A preliminary analysis
of the Soar architecture as a basis for general intelligence. In A. Clark &
J. Toribio (Eds.), Cognitive
Architectures in Artificial Intelligence: The Evolution of Research Programs. New York, NY: Garland Publishing.
(Reprint of Rosenbloom et al, in Artificial Intelligence, vol. 47, pp.
289-325.)
Rosenbloom,
P. S., Laird, J. E., Newell, A. & McCarl, R. (2000). A preliminary analysis
of the Soar architecture as a basis for general intelligence. In R. Chrisley
& S. Begeer (Eds.), Artificial
Intelligence: Critical Concepts in Cognitive Science. London, England:
Routledge. (Reprint of Rosenbloom et al,
in Artificial Intelligence, vol. 47,
pp. 289-325.)
Macedonia,
M. R. & Rosenbloom, P. S. (2001). Entertainment technology and virtual
environments for training and education.
In M. Devlin, R. Larson & J. Meyerson (Eds.), The Internet and the University: 2000 Forum (pp. 79-95). Boulder: CO:
EDUCAUSE
Rosenbloom, P. S., Laird, J. E., Newell, A. & McCarl, R. (2002). A
preliminary analysis of the Soar architecture as a basis for general
intelligence. In T. A. Polk & C. M. Seifert (Eds.), Cognitive Modeling. Cambridge, MA: MIT Press. (Abridged version of
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289-325.)
Rosenbloom,
P. S. & Newell, A. (1983). The chunking of goal hierarchies: A generalized
model of practice. In R. S. Michalski, J. G. Carbonell & T. M. Mitchell
(Eds.), Proceedings of the International
Machine Learning Workshop (pp. 183-197). Champaign-Urbana, IL. (Same as
Rosenbloom and Newell, 1986, in Machine
Learning: An Artificial Intelligence Approach, Volume II.)
Rosenbloom,
P. S., Laird, J. E., McDermott, J., Newell, A. & Orciuch, E. (1984).
R1-Soar: An experiment in knowledge-intensive programming in a problem-solving
architecture, Proceedings of the IEEE
Workshop on Principles of Knowledge-Based Systems (pp. 65-72). Denver, CO:
IEEE Computer Society. (Early version of Rosenbloom et al, 1985, in IEEE
Transactions on Pattern Analysis and Machine Intelligence.)
Rosenbloom,
P. S., Laird, J. E., Newell, A., Golding, A. & Unruh, A. (1985). Current
research on learning in Soar. In T. M. Mitchell, J. G. Carbonell & R. S.
Michalski (Eds.), Proceedings of the
Third International Machine Learning Workshop (pp. 163-172). Skytop, PA.
(Same as Rosenbloom et al, 1986, in Machine Learning: A Guide to Current
Research.)
Rosenbloom,
P. S., Laird, J. E. & Newell, A. (1986). Meta-levels in Soar, Proceedings of the Workshop on Meta-Level
Architecture and Reflection . Alghero, Sardinia. (Early draft of
Rosenbloom, Laird, and Newell, 1988, in Meta-Level
Architectures and Reflection.)
Laird,
J. E., Rosenbloom, P. S. & Newell, A. (1986). Overgeneralization during
knowledge compilation in Soar. In T. G. Dietterich (Ed.), Proceedings of the Workshop on Knowledge Compilation (pp. 46-57).
Otter Crest, OR: AAAI/Oregon State U.
Steier,
D. M., Laird, J. E., Newell, A., Rosenbloom, P. S., Flynn, R., Golding, A.,
Polk, T. A., Shivers, O. G., Unruh, A. & Yost, G. R. (1987). Varieties of
Learning in Soar: 1987. In P. Langley (Ed.), Proceedings of the Fourth International Workshop on Machine Learning
(pp. 300-311). Los Altos, CA: Morgan Kaufmann Publishers, Inc.
Rosenbloom,
P. S., Laird, J. E. & Newell, A. (1987). A preliminary analysis of the Soar
architecture as a basis for general intelligence. In D. Kirsh & C. Hewitt
(Eds.), Proceedings of the Workshop on
Foundations of Artificial Intelligence . Dedham, MA. (Early version of
Rosenbloom et al, 1991, in Artificial Intelligence.)
Unruh,
A., Rosenbloom, P. S. & Laird, J. E. (1987). Dynamic abstraction problem
solving in Soar, Proceedings of the Third
Annual Aerospace Applications of Artificial Intelligence Conference (pp.
245-256). Dayton, OH.
Laird,
J. E. & Rosenbloom, P. S. (1987). Research on learning in Soar, Proceedings of the Second Annual Artificial
Intelligence Research Forum (pp. 240-253). Palo Alto, CA: NASA Ames
Research Center.
Rosenbloom,
P. S. (1988). Beyond generalization as search: Towards a unified framework for
the acquisition of new knowledge. In G. F. DeJong (Ed.), Proceedings of the AAAI Symposium on Explanation-Based Learning
(pp. 17-21). Stanford, CA: AAAI.
Golding,
A. R. & Rosenbloom, P. S. (1989). Combining Analytical and Similarity-Based
CBR, Proceedings: Case-Based Reasoning
Workshop (pp. 259-263). Pensacola Beach, FL.
Cohen,
P. R. & Rosenbloom, P. S. (1990). Architectures. In L. D. Erman (Ed.), Intelligent Real-Time Problem Solving
(IRTPS): Workshop Report (pp. 19-28). Santa Cruz, CA. (Cimflex Teknowledge
Report TTR-ISE-90-101.)
Lewis,
R. L., Huffman, S. B., John, B. E., Laird, J. E., Lehman, J. F., Newell, A.,
Rosenbloom, P. S., Simon, T. & Tessler, S. G. (1990). Soar as a unified
theory of cognition: Spring 1990, Proceedings
of the 12th Annual Conference of the Cognitive Science Society (pp.
1035-1042). Cambridge, MA.
Unruh,
A. & Rosenbloom, P. S. (1990). Two new weak method increments for
abstraction. In T. Ellman (Ed.), Working
Notes of the AAAI-90 Workshop on Automatic Generation of Approximations and
Abstractions (pp. 78-86). Boston, MA: AAAI.
Rosenbloom,
P. S., Lee, S. & Unruh, A. (1990). Responding to impasses in memory-driven
behavior: A framework for planning, Proceedings
of the Workshop on Innovative Approaches to Planning, Scheduling, and Control
(pp. 181-191). San Diego, CA: DARPA.
Rosenbloom,
P. S., Laird, J. E., Newell, A. & McCarl, R. (1990). A preliminary analysis
of the Soar architecture as a basis for general intelligence, Proceedings of the Workshop on Innovative
Approaches to Planning, Scheduling, and Control (pp. 468-489). San Diego,
CA: DARPA. (Same as Rosenbloom et al,
1991, in Artificial Intelligence,
vol. 47, pp 289-325.)
Laird,
J. E., Hucka, M., Huffman, S. B. & Rosenbloom, P. S. (1991). An analysis of
Soar as an integrated architecture. In J. E. L. a. P. L. a. T. M. M. a. P. S.
Rosenbloom (Ed.), Working Notes of the
AAAI Spring Symposium on Integrated Intelligent Architectures (pp. 88-94).
Stanford, CA: AAAI. (Same as Laird et al,
1991, in SIGART Bulletin.)
Lee,
S. & Rosenbloom, P. S. (1992). Creating and coordinating multiple planning
methods, Proceedings of PRICAI '92
(pp. 89-95). Seoul, Korea.
Tambe,
M., Kalp, D. & Rosenbloom, P. S. (1992). An efficient algorithm for
production systems with linear-time match, Proceedings
of the 4th International IEEE Conference on Tools with Artificial Intelligence
(pp. 36-44): IEEE.
Milnes,
B. G., Pelton, G., Doorenbos, R., Hucka, M., Laird, J., Rosenbloom, P. &
Newell, A. (1992). A Specification of the Soar Cognitive
Architecture in Z, Technical Report CS-92-169, Carnegie Mellon University
Computer Science Department.
Jones,
R. M., Tambe, M., Laird, J. E. & Rosenbloom, P. S. (1993). Intelligent
automated agents for flight training simulators, Proceedings of the Third Conference on Computer Generated Forces and
Behavioral Representation (pp. 33-42). Orlando, FL: STRICOM/DMSO/IST.
Rosenbloom,
P. S., Lehman, J. F. & Laird, J. E. (1993). Overview of Soar as a unified
theory of cognition: Spring 1993. In L. E. Associates (Ed.), Proceedings of the Fifteenth Annual
Conference of the Cognitive Science Society (pp. 98-101). Boulder, CO.
Rosenbloom,
P. S., Hirsh, H., Cohen, W. W. & Smith, B. D. (1993). Two frameworks for
integrating knowledge in induction. In K. Krishen (Ed.), Seventh Annual Workshop on Space Operations, Applications, and Research
(SOAR '93) (pp. 226-233). Houston, TX: Space Technology Interdependency
Group. (NASA Conference Publication 3240.)
Stobie,
I., Tambe, M. & Rosenbloom, P. S. (1993). Flexible integration of
path-planning capabilities. In W. J. Wolfe & W. H. Chun (Eds.), Mobile Robots VII (pp. 52-61). Boston,
MA. (Proceedings SPIE 1831.)
Golding,
A. R. & Rosenbloom, P. S. (1994). The evaluation of Anapron: A case study
in evaluating a case-based system, Working
Notes of the AAAI-94 Workshop on Case-Based Reasoning (pp. 84-90). Seattle,
WA.
Jones,
R. M., Laird, J. E., Tambe, M. & Rosenbloom, P. S. (1994). Generating
behavior in response to interacting goals, Proceedings
of the Fourth Conference on Computer Generated Forces and Behavioral
Representation (pp. 317-324). Orlando, FL: STRICOM/DMSO/IST.
Rosenbloom,
P. S., Johnson, W. L., Jones, R. M., Koss, F., Laird, J. E., Lehman, J. F.,
Rubinoff, R., Schwamb, K. B. & Tambe, M. (1994). Intelligent automated
agents for tactical air simulation: A progress report, Proceedings of the Fourth Conference on Computer Generated Forces and
Behavioral Representation (pp. 69-78). Orlando, FL: STRICOM/DMSO/IST.
Tambe,
M., Jones, R. M., Laird, J. E. & Rosenbloom, P. S. (1994). Building
believable agents for simulation environments. In J. Bates (Ed.), Working Notes of the AAAI Spring Symposium
on Believable Agents (pp. 82-85). Stanford, CA: AAAI.
Tambe,
M. & Rosenbloom, P. S. (1994). Event tracking in complex multi-agent
environments, Proceedings of the Fourth
Conference on Computer Generated Forces and Behavioral Representation (pp.
473-484). Orlando, FL: STRICOM/DMSO/IST.
Tambe,
M. & Rosenbloom, P. S. (1994). Event tracking for an intelligent automated
agent. In S. Goodwin & H. J. Hamilton (Eds.), Proceedings of the Time94 International Workshop on Temporal
Representation and Reasoning (pp. 60-69). Pensacola, FL.
Hendler,
J., Carbonell, J., Lenat, D., Mizoguchi, R. & Rosenbloom, P. (1995). VERY
large knowledge bases - Architecture vs engineering, Proceedings for the Fourteenth International Joint Conference on
Artificial Intelligence (pp. 2033-2036). Montreal, Canada. (Panel report.)
Laird,
J. E., Johnson, W. L., Jones, R. M., Koss, F., Lehman, J. F., Nielsen, P. E.,
Rosenbloom, P. S., Rubinoff, R., Schwamb, K. B., Tambe, M., Dyke, J. V., Lent,
M. v. & Wray, R. (1995). Simulated Intelligent Forces For Air: The
Soar/IFOR Project 1995, Proceedings of
the Fifth Conference on Computer Generated Forces and Behavioral Representation
(pp. 27-36). Orlando, FL: STRICOM/DMSO/IST.
Tambe,
M. & Rosenbloom, P. S. (1995). Agent tracking in complex multi-agent
environments: New results, Proceedings of
the Fifth Conference on Computer Generated Forces and Behavioral Representation
(pp. 125-133). Orlando, FL: STRICOM/DMSO/IST.
Tambe,
M., Rosenbloom, P. S. & Schwamb, K. B. (1995). Constraints and design
choices in building intelligent pilots for simulated aircraft: Extended
abstract, Working Notes of the AAAI
Spring Symposium on Lessons from Implemented Software Architectures for
Physical Agents (pp. 203-212). Stanford, CA: AAAI.
Tambe,
M., Schwamb, K. B. & Rosenbloom, P. S. (1995). Building intelligent pilots
for simulated rotary wing aircraft, Proceedings
of the Fifth Conference on Computer Generated Forces and Behavioral
Representation (pp. 39-44). Orlando, FL: STRICOM/DMSO/IST.
Tambe,
M. & Rosenbloom, P. S. (1995). Agent tracking in real-time dynamic
environments: A summary of results. In M. Wooldridge, K. Fisher, P.
Gmytrasiewicz, N. R. Jennings & J. P. M. a. M. Tambe (Eds.), Working notes of the IJCAI-95 Workshop on
Agent Theories, Architectures, and Languages (pp. 173-185). MontrŽal,
Canada.
Smith,
B. D. & Rosenbloom, P. S. (1996). Induction as Knowledge Integration. In R.
S. Michalski & J. Wnek (Eds.), Proceedings
of the Third International Conference on Multistrategy Learning (pp.
39-51). Harpers Ferry, WV: AAAI Press.
Kim,
J. & Rosenbloom, P. S. (1996). A transformational analysis of the EBL
utility problem, Proceedings, Thirteenth
National Conference on Artificial Intelligence (pp. 1394). Portland, OR:
AAAI. (Student Abstract.)
Cho,
B., Rosenbloom, P. S. & Tambe, M. (1997). Efficient production match
algorithm and its implication for dynamic constraint satisfaction problems, Proceedings, Fourteenth National Conference
on Artificial Intelligence (pp. 825). Providence, RI: AAAI. (Student
Abstract.)
Hill,
R. W., Chen, J., Gratch, J., Rosenbloom, P. S. & Tambe, M. (1998).
Soar-RWA: Planning, teamwork, and intelligent behavior for synthetic rotary
wing aircraft, Proceedings of the Seventh
Conference on Computer Generated Forces and Behavioral Representation (pp.
177-188). Orlando, FL.
Hill, R., Gratch,
J. & Rosenbloom, P.
(2000). Flexible group
behavior: Lessons learned about creating autonomous commanders, Proceedings of the Ninth Conference on
Computer Generated Forces and
Behavioral Representation.
Orlando, FL.
Macedonia,
M. R. & Rosenbloom, P. S. (2000). Entertainment technology and virtual
reality, Proceedings of the NATO Research and Technology Organization Workshop (Human
Factors and Medicine Panel). The Hague, Netherlands.
Pynadath, D. V., Tambe, M., Arens,
Y., Chalupsky, H., Gil, Y., Knoblock, C., Lee, H., Lerman, K., Oh, J.,
Ramachandran, S., Rosenbloom, P. S. and Russ, T. (2000). Electric Elves:
Immersing an agent organization in a human organizations, Working Notes
of the AAAI Fall Symposium on Socially Intelligent Agents — The Human in
the Loop.
Scerri,
P., Johnson, L., Pynadath, D. V., Rosenbloom, P., Schurr, N., Si, M. and Tambe,
M. (2003). Getting robots, agents
and people to cooperate: An initial report, Working
Notes of the AAAI Spring Symposium on Human
Interaction with Autonomous Systems in Complex Environments.
Stanford, CA: AAAI.
Rosenbloom, P. S.
(Submitted). A graphical
rethinking of the cognitive inner loop.
Submitted to the IJCAI
International Workshop on Graphical Structures for Knowledge Representation and
Reasoning.
[1] A contract to Stanford University, with Nils Nilsson as the official PI (since I left Stanford), but with me still in charge of proposal writing and research guidance.