Overview
The Ninth Workshop on Statistical Relational Artificial Intelligence (StaRAI) is set to take place from February 7-8, 2020, in New York, co-located with AAAI 2020. This workshop aims to unite researchers and practitioners from various fields, including logical AI, probabilistic AI, and neural approaches, particularly in the context of structured data and knowledge graphs. By fostering collaboration among these domains, the workshop seeks to enhance understanding and accelerate progress in AI research.
Background & Relevance
Statistical Relational AI represents a crucial intersection of multiple AI disciplines, combining elements of logic, probability, and neural networks. Historically, these fields have developed independently, often using different terminologies for similar concepts, which has hindered progress. The workshop aims to promote synergy among these areas, addressing the challenges posed by complex real-world applications that involve uncertainty and relational structures. This integration is essential for advancing AI capabilities in various domains, including social networks, bioinformatics, and robotics.
Key Details
- Workshop Dates: February 7-8, 2020
- Location: New York, co-located with AAAI 2020
- Paper Submission Deadline: November 15, 2020
- Notification of Acceptance: December 3, 2020
- Camera-Ready Submission Due: January 15, 2020
- Submission Site: EasyChair
Eligibility & Participation
The workshop invites researchers from all subfields of AI, including those focused on satisfiability, knowledge representation, and statistical learning. It is particularly relevant for individuals working on applications that require a blend of logical reasoning and probabilistic inference. Participants will have the opportunity to engage in discussions and presentations that explore innovative approaches in Statistical Relational AI.
Submission or Application Guidelines
Authors are encouraged to submit one of the following types of papers:
– A full paper detailing novel contributions or ongoing work (up to 7 pages, excluding references)
– A short position paper (up to 2 pages, excluding references)
– An already published work (verbatim, no page limit, citing the original work)
All submissions must be in PDF format and will undergo a thorough peer-review process to ensure quality and relevance.
Additional Context / Real-World Relevance
The integration of logic and probability in AI has significant theoretical and practical implications. By developing general-purpose reasoning tools, researchers can address complex challenges in various fields. The workshop will focus on practical applications and encourage collaboration among researchers from diverse backgrounds, including natural language processing, vision, and robotics, to explore how these tools can be utilized effectively.
Conclusion
The Ninth Workshop on Statistical Relational AI presents a valuable opportunity for researchers to connect, share insights, and advance the field. Participants are encouraged to submit their work and engage in discussions that will shape the future of AI research. Explore this unique opportunity to contribute to the evolving landscape of Statistical Relational AI.
Category: Conferences & Workshops
Tags: statistical ai, relational ai, neural ai, knowledge graphs, big data, natural language processing, robotics, computer vision, machine learning
