The Influential Paper Award seeks to recognize publications that have made influential and long-lasting contributions to the field. Candidates for this award are papers that have proved a key result, led to the development of a new subfield, demonstrated a significant new application or system, or simply presented a new way of thinking about a topic that has proved influential.
Previous winners
Proceedings of the Twentieth International Conference on Machine Learning (ICML '03), pages 242-249
A General Class of No-Regret Learning Algorithms and Game-Theoretic Equilibria
Learning Theory and Kernel Machines, (Lecture Notes in Computer Science, vol 2777), Springer, pages 2-12
Nash Q-Learning for General-Sum Stochastic Games
Journal of Machine Learning Research, Volume 4, pages 1039-1069
Flocks, Herds and Schools: A Distributed Behavioral Model
Proceedings of the 14th Annual Conference on Computer Graphics and Interactive Techniques (SIGGRAPH '87), pages 25-34
Negotiation decision functions for autonomous agents
Robotics and Autonomous Systems, Volume 24, Issues 3-4, pages 159-182
Learning to cooperate via policy search
Proceedings of the Sixteenth Conference on Uncertainty in Artificial Intelligence – AAAI-98, pages 746-752
The dynamics of reinforcement learning in cooperative multiagent systems
Proceedings of the Fifteenth National Conference on Artificial Intelligence – AAAI-98, pages 746-752
Computing the optimal strategy to commit to
Proceedings of the 7th ACM Conference on Electronic Commerce – EC 06, pages 82-90
A domain-independent framework for modeling emotion
Cognitive Systems Research, Volume 5, Issue 4, pages 269-306
Alternating-time Temporal Logic
Proceedings of the 38th Annual Symposium on Foundations of Computer Science – FOCS '97, pages 100-109, and Journal of the ACM, Volume 49, Issue 5, September 2002, pages 672-713
Emotion and Sociable Humanoid Robots
International Journal of Human-Computer Studies, Volume 59, Issues 1-2, pages 119-155
Approximate mechanism design without money
Proceedings of the 10th ACM Conference on Electronic Commerce (ACM EC 2009), pages 177-186
A multiagent approach to autonomous intersection management
Journal of Artificial Intelligence, Volume 31, pages 591-656.
The complexity of decentralized control of Markov decision processes
Proceedings of the Sixteenth Conference on Uncertainty in Artificial Intelligence, pages 32-37
The complexity of decentralized control of Markov decision processes
Mathematics of Operations Research, Volume 27, Issue 4, pages 819-840.
The Gaia Methodology for Agent-Oriented Analysis and Design
Journal of Autonomous Agents and Multi-Agent Systems, Volume 3, Issue 3, September 2000, pages 285-312
Developing Multiagent Systems: The Gaia Methodology
ACM Transactions on Software Engineering Methodology, Volume 12, Issue 3, July 2003, pages 317-370
21st Annual Conference on Computer Graphics and Interactive Techniques, pages 413-420
Animated pedagogical agents: Face-to-face interaction in interactive learning environments
International Journal of Artificial Intelligence in Education, Volume 11, pages 47-78
Agent Communication Languages: Rethinking the Principles
IEEE Computer, Volume 31, No. 12, December 1998, pages 40-47
Markov games as a framework for multi-agent reinforcement learning
Proceedings of the Eleventh International Conference on Machine Learning (ICML-94), July 1994, pages 157-163
Methods for task allocation via agent coalition formation
Artificial Intelligence, Volume 101, Issues 1-2, May 1998, pages 165-200
Modelling social action for AI agents
Artificial Intelligence, Volume 103, Issues 1-2, August 1998, pages 157-182
Commitment: From individual intentions to groups and organizations
First International Conference on Multi-Agent Systems, pages 41-49
Journal of Artificial Intelligence Research, Volume 1, pages 1-23
Journal of Artificial Intelligence Research, Volume 7, pages 83-124
Artificial Intelligence, Volume 60, Issue 1, pages 51-92
The Distributed Constraint Satisfaction Problem: Formalization and Algorithms
IEEE Transactions on Knowledge and Data Engineering 10:673-685
Distributed Breakout Algorithm for Solving Distributed Constraint Satisfaction Problems
Second International Conference on Multiagent Systems (ICMAS-96), pp.401-408
Distributed Artificial Intelligence.
London, Pitman.
Readings in Distributed Artificial Intelligence.
San Mateo, CA, Morgan Kaufmann.
Distributed Artificial Intelligence (Volume II).
Pitman and Morgan Kaufmann.
Plans and resource-bounded practical reasoning.
Computational Intelligence, 4, pages 349-355.
Partial global planning: A coordination framework for distributed hypothesis formation.
In: IEEE Transactions on Systems, Man, and Cybernetics, 21, pages 1167-1183.
Special recognition given to:
Intelligent Agents: Theory and Practice
The Knowledge Engineering Review, 10 (2), pp. 115-152.
In: Proceedings of the 9th International Joint Conference on Artificial Intelligence, Los Angeles , California , August 1985, pages 91-99.
Modelling rational agents within a BDI-architecture.
In: Proceedings of the 2nd International Conference on Principles of Knowledge Representation and Reasoning, Cambridge, Massachussets, pages 473-484.
Collaborative Plans for Complex Group Actions.
Artificial Intelligence, 86, pages 269-358.
Intention is choice with commitment.
Artificial Intelligence , 42(2-3), pages 213-261.
Negotiation as a Metaphor for Distributed Problem Solving.
Artificial Intelligence, 20(1), pages 63-109.
