Overview
The Sixth Workshop on Probabilistic Logic Programming (PLP 2019) is set to take place from September 20-25, 2019, in Las Cruces, New Mexico, as part of the 35th International Conference on Logic Programming. This workshop aims to foster collaboration and discussion among researchers interested in the intersection of logic programming and probabilistic methods, addressing the growing need for reasoning under uncertainty in various application domains.
Background & Relevance
Probabilistic logic programming is an emerging field that combines the principles of logic programming with probability theory. This approach is particularly valuable in scenarios where uncertainty is prevalent, such as in bioinformatics, robotics, and the semantic web. The workshop will explore various aspects of this discipline, including new languages, algorithms, and methodologies that enhance the capabilities of traditional logic programming by incorporating probabilistic reasoning. As the field continues to evolve, it presents both opportunities and challenges, making this workshop a significant event for researchers and practitioners alike.
Key Details
- Submission Deadline: August 19, 2019
- Notification to Authors: August 30, 2019
- Camera Ready Version Due: September 13, 2019
- Workshop Dates: September 20-25, 2019
- Location: Las Cruces, New Mexico, USA
- Submission Link: EasyChair
- Proceedings: Available electronically and stored in CEUR Workshop Proceedings
Eligibility & Participation
The workshop invites contributions from researchers and practitioners in the field of probabilistic logic programming. It is particularly relevant for those working on new results, ongoing research, and technical summaries of significant contributions. At least one author of each accepted paper is required to attend the workshop to present their work.
Submission or Application Guidelines
Submissions should be formatted according to the LNCS style. The workshop seeks a variety of contributions, including:
– Full papers (6-12 pages) presenting new results
– Short papers (2-5 pages) for work in progress or technical summaries
All submissions will be managed through EasyChair, and the workshop proceedings will categorize the accepted papers accordingly.
Additional Context / Real-World Relevance
The integration of probabilistic reasoning into logic programming is crucial for advancing AI and machine learning applications. This workshop will serve as a platform for discussing innovative approaches and methodologies that can enhance the understanding and implementation of probabilistic logic programming. By addressing the challenges and opportunities in this field, participants can contribute to the development of more robust AI systems capable of reasoning under uncertainty.
Conclusion
The Sixth Workshop on Probabilistic Logic Programming offers a unique opportunity for researchers to share their insights and findings in a rapidly evolving area of study. Interested participants are encouraged to submit their papers and engage in discussions that could shape the future of probabilistic logic programming. For more information, please visit the workshop’s official page.
Category: CFP & Deadlines
Tags: probabilistic logic programming, logic programming, AI, machine learning, statistical inference, bioinformatics, robotics, semantic web, Bayesian learning
