CP 2016 Workshop on Constraint Programming and Artificial Intelligence
Aims and Scope
From their early days, Constraint Programming has played an important role in Artificial Intelligence, and Artificial Intelligence has played an important role in Constraint Programming. Artificial Intelligence is currently experiencing a great surge of interest, attention and funding. This workshop is intended to encourage efforts to increase the participation and visibility at this time of Constraint Programming in the wider AI community, to the mutual benefit of both. In particular, the Workshop will seek to formulate specific recommendations as to actions that members of the community might undertake, individually, or collectively through the ACP, to further identified objectives. As a start, it is hoped that participants at the Workshop will volunteer to take on specific roles that are deemed useful for achieving these objectives.
- 13:30 - 15:00
- Introduction — Eugene Freuder
- Invited Talk — Rina Dechter
Graphical models, an articulation point between Constraint Programming & Machine Learning — Position Paper by Thomas Schiex.
Stochastic Constraint Programming and Reinforcement Learning — Abstract by S. D. Prestwich, R. Rossi, and S. A. Tarim.
Empirical Model Learning, and the integration of machine learning models in CP — Abstract by Tias Guns, Michele Lombardi, Michela Milano, and Pascal Van Hentenryck.
Explanations for Human-Aware CP — Position Paper by Eugene C. Freuder.
- 15:00 - 15:30
- Coffee Break
- 15:30 - 17:30
Exact Solution Counting for Artificial Intelligence based on Decomposition of Constraint Networks — Abstract by Philippe Jégou, Hanan Kanso, and Cyril Terrioux.
Declarative Programming in Artificial Intelligence — Position Paper by Siegfried Nijssen.
Towards ethical agents in Distributed Constraint Reasoning — Position Paper by Ghizlane El Khattabi, Imade Benelallam, El Houssine Bouyakhf, and Rajae Haouari.
Success Stories of CP in Data Mining — Abstract by Tias Guns.
CP and AI — Promoting and Publicizing — Position Paper by Eugene C. Freuder.
Promoting and Publicizing CP for AI and CP as AI — and Vice Versa — Discussion.
Call for Contributions
One page abstracts (plus references) are solicited that:
- Describe prior, current, or proposed work combining constraint reasoning with other forms of AI,
- Survey work that has combined CP with a specific aspect, topic or field of AI,
- Identify relationships between constraint reasoning and other aspects of AI,
- Discuss the role CP can play within AI, in particular how CP can help AI, and vice versa,
- Propose new research programs or grand challenges that engage CP with the broader AI community.
One page position papers are solicited that provide some initial, “pump-priming” thoughts on the following brainstorming session topics, or other topics you propose:
- Encouraging the use of CP in AI and vice versa,
- Increasing the visibility of CP within AI,
- Engaging with "hot topics" such as deep learning and ethical/beneficial AI,
- Interesting industry in the AI implications of CP,
- Forming collaborative networks or "virtual laboratories" to address grand challenges that engage with AI and capture the popular imagination.
Submissions should be in PDF format. They should be submitted through EasyChair, on or before July 19, 2016 (GMT). The title of each submission should be prefaced by either “Abstract: ” or “Position Paper: ”. Authors may submit multiple abstracts and position papers if they wish.
All submissions that appropriately address the Call for Contributions will be accepted as is, without further revision, and will be made available at the workshop website. Notification of acceptance will be made on or before July 26, 2016 (GMT). At least one author of every accepted submission must attend the workshop and pay the conference or "workshop only" fee, else the submission will be withdrawn.
- July 2016
July 19, 2016
Notification of authors
July 26, 2016
- September 2016
Workshop on Constraint Programming and Artificial Intelligence
September 5, 2016
- Eugene C. Freuder, University College Cork
- Peter van Beek, University of Waterloo
- Rina Dechter, UC Irvine
- Alan Mackworth, University of British Columbia
- Laurent Michel, University of Connecticut
- Barry O’Sullivan, University College Cork
- Luc de Raedt, KU Leuven
- Francesca Rossi, University of Padova and IBM
- Peter Stuckey, University of Melbourne
- Pascal Van Hentenryck, University of Michigan
- Toby Walsh, NICTA, University of New South Wales