AAAI Classic Paper Award
The AAAI Classic Paper award honors the author(s) of paper(s) deemed most influential, chosen from a specific conference year. Each year, the time period considered will advance by one year. The 2019 award will be given to the most influential paper(s) from the Eighteenth National Conference on Artificial Intelligence, held in 2002 in Edmonton, Alberta, Canada.
Papers will be judged on the basis of impact, for example:
- Started a new research (sub)area
- Led to important applications
- Answered a long-standing question/issue or clarified what had been murky
- Made a major advance that figures in the history of the subarea
- Has been picked up as important and used by other areas within (or outside of) AI
- Has been very heavily cited
All members of the artificial intelligence community are encouraged to submit nominations for this award. Candidacy is not limited to AAAI members, nor to people still active in artificial intelligence. Posthumous awards will be considered.
Nominations will be reviewed by the AAAI Awards Committee. Nominations are due September 28, 2018.
The award will be presented at the AAAI-19 conference in Honolulu, Hawaii, USA. A total of $1,000 in travel support is available to enable the author(s) to travel to the conference to accept the award in person.
For more information regarding these awards, please contact Carol Hamilton, Executive Director, AAAI (awards19@aaai.org).
Past Recipients
2018
- Classic Paper Award Recipients: Natasha Noy and Mark A. Musen
PROMPT: Algorithm and Tool for Automated Ontology Merging and Alignment Presented at the Seventeenth National Conference on Artificial Intelligence (AAAI-2000), Austin, Texas, USA
For pioneering ontology matching and integration research, by identifying the specifics of the problem and providing a first innovative solution.
2017
- Classic Paper Award Recipients: Dieter Fox, Wolfram Burgard, Frank Dellaert, and Sebastian Thrun
Monte Carlo Localization: Efficient Position Estimation for Mobile Robots Presented at the Sixteenth National Conference on Artificial Intelligence (AAAI-99), Orlando, Florida, USA
For pioneering the application of particle filtering to provide an effective and scalable method for robot localization. - Classic Paper Honorable Mention Recipients: Nathaniel Good, J. Ben Schafer, Joseph A. Konstan, Al Borchers, Badrul Sarwar, Jon Herlocker, and John Riedl
Combining Collaborative Filtering with Personal Agents for Better Recommendations Presented at the Sixteenth National Conference on Artificial Intelligence (AAAI-99), Orlando, Florida, USA
For developing an effective way to combine collaborative filtering and content filtering to provide better recommendations to users. - Classic Paper Honorable Mention Recipients: Ellen Riloff and Rosie Jones
Learning Dictionaries for Information Extraction by Multi-Level Bootstrapping Presented at the Sixteenth National Conference on Artificial Intelligence (AAAI-99), Orlando, Florida, USA
For introducing a mutual bootstrapping technique for information extraction that simultaneously learns the semantic lexicon and the extraction patterns.
2016
- Classic Paper Award Recipients: Wolfram Burgard, Armin B. Cremers, Dieter Fox, Dirk Hähnel, Gerhard Lakemeyer, Dirk Schulz, Walter Steiner, and Sebastian Thrun
The Interactive Museum Tour-Guide Robot Presented at the Fifteenth National Conference on Artificial Intelligence (AAAI-98), Madison, Wisconsin, USA
For significant contributions to probabilistic robot navigation and the integration with high-level planning methods. - Classic Paper Award Recipients: Carla P. Gomes, Bart Selman, and Henry Kautz
Boosting Combinatorial Search through Randomization Presented at the Fifteenth National Conference on Artificial Intelligence (AAAI-98), Madison, Wisconsin, USA
For significant contributions to the area of automated reasoning and constraint solving through the introduction of randomization and restarts into complete solvers.
2015
- Classic Paper Award Recipient: Eugene Charniak
Statistical Parsing with a Context-Free Grammar and Word Statistics presented at the Fourteenth National Conference on Artificial Intelligence (AAAI-97), Providence, Rhode Island, USA
For significant contributions to sentence parsing and language models based on probabilities of possible alternative parses. - Honorable Mention Corecipients: Roberto J. Bayardo Jr. and Robert C. Schrag
Using CSP Look-Back Techniques to Solve Real-World SAT Instances presented at the Fourteenth National Conference on Artificial Intelligence (AAAI-97), Providence, Rhode Island, USA
For significant contributions to enhance proof procedures for propositional satisfiability on large instances of real-world problems.
2014
- Classic Paper Award Recipients: Michael J. Pazzani, Jack Muramatsu, and Daniel Billsus
Syskill & Webert: Identifying Interesting Web Sites presented at the Thirteenth National Conference on Artificial Intelligence (AAAI-96), Portland, Oregon, USA
For significant contributions to the field of personalizing Internet content and learning user profiles. - Honorable Mention Corecipients: Wolfram Burgard, Dieter Fox, Daniel Hennig, and Timo Schmidt
Estimating the Absolute Position of a Mobile Robot Using Position Probability Grids presented at the Thirteenth National Conference on Artificial Intelligence (AAAI-96), Portland, Oregon, USA
For significant contributions to solving the problem of self-localization of mobile robots. - Honorable Mention Corecipients: Henry Kautz and Bart Selman
Pushing the Envelope: Planning, Propositional Logic, and Stochastic Search presented at the Thirteenth National Conference on Artificial Intelligence (AAAI-96), Portland, Oregon, USA
For establishing satisfiability testing as a wide-ranging method for solving planning problems.
2013
- Classic Paper Award Recipient: Jean-Charles Rëgin
A Filtering Algorithm for Constraints of Difference in CSPs presented at the Twelfth National Conference on Artificial Intelligence (AAAI-94), Seattle, Washington, USA
For groundbreaking contributions to constraint programming via the development of one of the first propagators for global constraints. - Classic Paper Award Corecipients:
Anthony R. Cassandra, Leslie Pack Kaelbling and Michael L. Littman
Acting Optimally in Partially Observable Stochastic Domains presented at the Twelfth National Conference on Artificial Intelligence (AAAI-94), Seattle, Washington, USA
For significant contributions to the application of POMDP models in AI and to practical algorithms for their solution.
2012
- Classic Paper Award Corecipients: Pattie Maes and Robyn Kozierok
Learning Interface Agents presented at the Eleventh National Conference on Artificial Intelligence (AAAI-93), Washington, DC, USA
Citation: For highlighting directions and opportunities with harnessing machine learning and inference in automated personal assistance and human-computer interaction. - Honorable Mention Corecipients: Christian Bessiere and Marie-Odile Cordier
Arc-Consistency and Arc-Consistency Again presented at the Eleventh National Conference on Artificial Intelligence (AAAI-93), Washington, DC, USA
Citation: For contributions to the foundations of constraint programming, providing an influential optimal propagation algorithm. - Honorable Mention Recipient: Ellen Riloff
Automatically Constructing a Dictionary for Information Extraction Tasks presented at the Eleventh National Conference on Artificial Intelligence (AAAI-93), Washington, DC, USA
Citation: For contributions to automated information extraction from text corpora leveraging natural language processing and structural analysis of news reports.
2011
- Classic Paper Award Corecipients: Hector Levesque, David Mitchell, and Bart Selman
for their two papers Hard and Easy Distribution of SAT Problems and A New Method for Solving Hard Satisfiability Problems presented at the Tenth National Conference on Artificial Intelligence (AAAI-92), San Jose, California
Citation: For their significant contributions to the area of automated reasoning via methods and analyses on satisfiability, providing foundational insights about constraint satisfaction and search.
2010
- Classic Paper Award Corecipients: David McAllester and David Rosenblitt
Systematic Nonlinear Planning presented at the Ninth National Conference on Artificial Intelligence (AAAI-91), Anaheim, California
Citation: For contributing seminal principles of systematic nonlinear planning, with wide-ranging influences on the evolution of research on automated planning.
2008
- Classic Paper Award Corecipients: Steven Minton, Mark D. Johnston, Andrew B. Philips, and Philip Laird
Solving Large-Scale Constraint Satisfaction and Scheduling Problems Using a Heuristic Repair Method presented at the Eighth National Conference on Artificial Intelligence (AAAI-90), Boston, Massachusetts
Citation: For a seminal contribution to stochastic local search for constraint satisfaction and its broad influence on local search algorithms and applications in artificial intelligence.
Honorable Mention Corecipients: Pattie Maes and Rodney A. Brooks
Learning to Coordinate Behaviors presented at the Eighth National Conference on Artificial Intelligence (AAAI-90), Boston, Massachusetts
Citation: For pioneering work on machine learning applied to the field of robotics, and on advancing the field of behavioral robotics.
2007
- Classic Paper Award Corecipients: Peter Cheeseman, Matthew Self, Jim Kelly, Will Taylor, and Don Freeman
Bayesian Classification presented at the Seventh National Conference on Artificial Intelligence (AAAI-88), St. Paul, Minnesota
Honorable Mention Corecipients: Benjamin J. Kuipers and Yung-Tai Byun
A Robust, Qualitative Method for Robot Spatial Learning presented at the Seventh National Conference on Artificial Intelligence (AAAI-88), St. Paul, Minnesota
2006
- Classic Paper Award Corecipients: Philip E. Agre and David Chapman
Pengi: An Implementation of a Theory of Activity, presented at the Sixth National Conference on Artificial Intelligence (AAAI-87), Seattle, Washington
Classic Paper Award Corecipients: Amy Lansky and Michael P. Georgeff
Reactive Reasoning and Planning, presented at the Sixth National Conference on Artificial Intelligence (AAAI-87), Seattle, Washington
Honorable Mention Corecipients: Judea Pearl and Thomas Verma
The Logic of Representing Dependencies by Directed Graphs, presented at the Sixth National Conference on Artificial Intelligence (AAAI-87), Seattle, Washington
Honorable Mention Corecipient: Richard E Korf
Real-Time Heuristic Search: First Results, presented at the Sixth National Conference on Artificial Intelligence (AAAI-87), Seattle, Washington
2005
- Classic Paper Award Corecipient: David Haussler
Quantifying the Inductive Bias in Concept Learning (extended abstract), presented at the Fifth National Conference on Artificial Intelligence (AAAI-86), Philadelphia, Pennsylvania
Classic Paper Award Corecipients: Steve Hanks and Drew McDermott
Default Reasoning, Nonmonotonic Logics, and the Frame Problem, presented at the Fifth National Conference on Artificial Intelligence (AAAI-86), Philadelphia, Pennsylvania
2004
- Classic Paper Award Recipient: Hector Levesque
A Logic of Implicit and Explicit Belief, presented at the Fourth National Conference on Artificial Intelligence (AAAI-84), Austin, Texas
Honorable Mention Corecipient: Michael Georgeff, for A Theory of Action for MultiAgent Planning
Honorable Mention Corecipients: Ronald J. Brachman and Hector J. Levesque, for The Tractability of Subsumption in Frame-Based Description Languages
2002
- Classic Paper Award Recipient: John Canny
A Variational Approach to Edge Detection, presented at the Third National Conference on Artificial Intelligence (AAAI-83), Washington, D.C.
2000
- Classic Paper Award Recipient: Judea Pearl
Reverend Bayes on Inference Engines: A Distributed Hierarchical Approach, presented at the Second National Conference on Artificial Intelligence (AAAI-82), Pittsburgh, Pennsylvania.
1999
- Classic Paper Award Recipient: John McDermott
R1: An Expert in the Computer Systems Domain, presented at the First National Conference on Artificial Intelligence (AAAI-80), Stanford University, Stanford, California.