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The 22nd International Symposium on Practical Aspects of Declarative Languages (PADL 2020)

https://popl20.sigplan.org/home/PADL-2020

20-21 January 2020, New Orleans, Louisiana, United States

Co-located with ACM POPL 2020 (https://popl20.sigplan.org/)


Declarative languages is an umbrella term that include functional, logic, and constraint programming languages. These languages have been successfully applied to many different real-world situations, ranging from database management to active networks to software engineering to decision support systems.

New developments in theory and implementation have opened up new application areas. At the same time, applications of declarative languages to challenging problems raise intriguing research questions, such as scalable design and implementation, language extensions for application deployment, and programming environments. Thus, applications drive the progress in the theory and implementation of declarative systems, and benefit from this progress as well.

PADL is a well-established forum for researchers and practitioners to present original work emphasizing novel applications and implementation techniques for all forms of declarative programming, including functional and logic programming, database and constraint programming, and theorem proving. Topics of interest include, but are not limited to:

  • Innovative applications of declarative languages
  • Declarative domain-specific languages and applications
  • Practical applications of theoretical results
  • New language developments and their impact on applications
  • Declarative languages for software engineering
  • Evaluation of implementation techniques on practical applications
  • Practical experiences and industrial applications
  • Novel uses of declarative languages in the classroom
  • Practical languages and extensions such as probabilistic and reactive languages

PADL 2020 especially welcomes new ideas and approaches pertaining to applications, design and implementation of declarative languages going beyond the scope of the past PADL symposia, for example, advanced database languages and contract languages, as well as verification and theorem proving methods that rely on declarative languages.

Important Dates and Submission Guidelines:

  • Abstracts due: 11 October 2019
  • Papers due: 18 October 2019
  • Notification to authors: 18 November 2019
  • Camera-ready: 29 November 2020
  • Symposium dates: 20 - 21 January 2020

Highlights

Supporters
Dates
Plenary
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Mon 20 Jan

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08:30 - 10:00
Logical Engines and ApplicationsPADL at Bacchus
Chair(s): Ekaterina Komendantskaya Heriot-Watt University, UK
08:30
15m
Day opening
Opening
PADL
08:45
50m
Talk
Invited Talk: Logical Engines for Cloud Configurations
PADL
I: Nikolaj Bjørner Microsoft Research
09:35
25m
Talk
Interactive Text Graph Mining with a Prolog-based Dialog Engine
PADL
Paul Tarau University of North Texas, Eduardo Blanco
10:00 - 10:30
Monday Morning BreakCatering at Break
10:30 - 12:00
Answer Set Programming SystemsPADL at Bacchus
Chair(s): Neng-Fa Zhou CUNY Brooklyn College and Graduate Center
10:30
25m
Talk
AQuA: ASP-based Visual Question Answering
PADL
10:55
15m
Short-paper
Diagnosing Data Pipeline Failures Using Action Languages: A Progress Report
PADL
11:10
15m
Short-paper
VRASP: A Virtual Reality Environment for Learning Answer Set Programming
PADL
Vinh The Nguyen Texas Tech University, Yuanlin Zhang , Kwanghee Jung , Wanli Xing , Tommy Dang Texas Tech University
11:25
35m
Other
Panel: Programming with logic for the masses
PADL
Nikolaj Bjørner Microsoft Research, Paul Tarau University of North Texas, Eduardo Blanco , Kinjal Basu , Farhad Shakerin , Gopal Gupta , Alex Brik , Jeffrey Xu UCLA, Vinh The Nguyen Texas Tech University, Yuanlin Zhang , Kwanghee Jung , Wanli Xing , Tommy Dang Texas Tech University
12:30 - 14:00
Monday LunchCatering at Lunch Room
12:30
90m
Lunch
Lunch
Catering

13:30 - 15:00
Memory and Real-Time in Functional ProgrammingPADL at Bacchus
Chair(s): John Hughes Chalmers University of Technology, Sweden
13:30
25m
Talk
On the Effects of Integrating Region-based Memory Managemen and Generational Garbage Collection in ML
PADL
Martin Elsman University of Copenhagen, Denmark, Niels Hallenberg
13:55
25m
Talk
RTMLton: An SML Runtime for Real-Time Systems
PADL
14:20
25m
Talk
A Timed IO Monad
PADL
David Janin Bordeaux INP / CNRS LaBRI / Bordeaux University
14:45
15m
Other
Panel: Memory and real-time programming in practice
PADL
Martin Elsman University of Copenhagen, Denmark, Niels Hallenberg , Bhargav Shivkumar , Jeffrey Murphy , Lukasz Ziarek SUNY Buffalo, USA, David Janin Bordeaux INP / CNRS LaBRI / Bordeaux University
15:05 - 15:35
Monday Afternoon BreakCatering at Break
15:30 - 17:00
Answer Set Programming Applications and Competitive programming experiencePADL at Bacchus
Chair(s): Alex Brik
15:30
25m
Talk
Flexible Graph Matching and Graph Edit Distance Using Answer Set Programming
PADL
Sheung Chi Chan , James Cheney University of Edinburgh, UK
15:55
25m
Talk
On Repairing Web Services Workflows
PADL
Thanh Hai Nguyen , Enrico Pontelli New Mexico State University, Tran Cao Son
16:20
40m
Talk
Competitive Programming with PiCat
PADL
Neng-Fa Zhou CUNY Brooklyn College and Graduate Center

Tue 21 Jan

Displayed time zone: Saskatchewan, Central America change

10:00 - 10:30
Tuesday Morning BreakCatering at Break
12:30 - 14:00
Tuesday LunchCatering at Lunch Room
12:30
90m
Lunch
Lunch
Catering

13:30 - 15:00
Invited Experience and Direction SessionPADL at Bacchus
Chair(s): Konstantinos (Kostis) Sagonas Uppsala University, Sweden, David Warren Stony Brook University
13:30
30m
Talk
Invited Talk: Relational Artificial Intelligence
PADL
Molham Aref Relational.ai
14:00
30m
Talk
Invited Talk: Learning Interpretable Rules from Structured Data
PADL
Mayur Naik University of Pennsylvania
14:30
30m
Talk
Invited Talk: An Introduction to the Imandra Automated Reasoning System
PADL
Grant Passmore Imandra Inc.
15:05 - 15:35
Tuesday Afternoon BreakCatering at Break
15:30 - 17:00
Invited Experience and Direction Session (Continued)PADL at Bacchus
Chair(s): Y. Annie Liu Stony Brook University, Konstantinos (Kostis) Sagonas Uppsala University, Sweden, David Warren Stony Brook University
15:30
30m
Talk
Invited Talk: We Are All Poor Schmucks: On the Value of Gradual Types
PADL
Philip Wadler University of Edinburgh, UK
16:00
45m
Other
Panel: Experience and Direction
PADL
I: Molham Aref Relational.ai, I: Mayur Naik University of Pennsylvania, I: Grant Passmore Imandra Inc., I: Philip Wadler University of Edinburgh, UK
16:45
15m
Day closing
Closing
PADL
Ekaterina Komendantskaya Heriot-Watt University, UK, Y. Annie Liu Stony Brook University

Invited Speakers

Nikolaj Bjørner, Microsoft Research

Nikolaj Bjørner

Adnan Darwiche, UCLA

Adnan Darwiche

______

Invited Experience and Direction Session

Invited Speakers

Molham Aref, Relational AI

Molham Aref

Mayur Naik, University of Pennsylvania

Mayur Naik

Grant Passmore, Imandra Inc. and Cambridge University

Grant Passmore

Philip Wadler, University of Edinburgh

Phil Wadler

______

List of All Talks and Events

Title
A DSL for Integer Range Reasoning: Partition, Interval and Mapping Diagrams
PADL
AQuA: ASP-based Visual Question Answering
PADL
A Timed IO Monad
PADL
Closing
PADL
Competitive Programming with PiCat
PADL
Diagnosing Data Pipeline Failures Using Action Languages: A Progress Report
PADL
Explanations for Dynamic Programming
PADL
Exploiting Database Systems and Treewidth for Counting
PADL
Flexible Graph Matching and Graph Edit Distance Using Answer Set Programming
PADL
Interactive Text Graph Mining with a Prolog-based Dialog Engine
PADL
Invited Talk: An Introduction to the Imandra Automated Reasoning System
PADL
Invited Talk: Learning Interpretable Rules from Structured Data
PADL
Invited Talk: Logical Engines for Cloud Configurations
PADL
Invited Talk: Relational Artificial Intelligence
PADL
Invited Talk: Symbolic Reasoning About Machine Learning Systems
PADL
Invited Talk: We Are All Poor Schmucks: On the Value of Gradual Types
PADL
On Repairing Web Services Workflows
PADL
On the Effects of Integrating Region-based Memory Managemen and Generational Garbage Collection in ML
PADL
Opening
PADL
Panel: Experience and Direction
PADL
Panel: Memory and real-time programming in practice
PADL
Panel: Programming with logic for the masses
PADL
Panel: Reasoning for machine learning at large
PADL
RTMLton: An SML Runtime for Real-Time Systems
PADL
Variability-aware Datalog
PADL
VRASP: A Virtual Reality Environment for Learning Answer Set Programming
PADL
Whitebox Induction of Default Rules Using High-Utility Itemset Mining
PADL

Call for Papers

Authors should submit an electronic copy of the full paper in PDF using the Springer LNCS format. The submission will be done through EasyChair conference system: https://easychair.org/conferences/?conf=padl2020

All submissions must be original work written in English. Submissions must be unpublished and not submitted for publication elsewhere. Work that already appeared in unpublished or informally published workshops proceedings may be submitted but the authors should notify the program chair about the place on which it has previously appeared.

PADL 2020 will accept both technical and application papers:

Technical papers must describe original, previously unpublished research results. Technical papers must not exceed 15 pages (plus one page of references).

Application papers are a mechanism to present important practical applications of declarative languages that occur in industry or in areas of research other than Computer Science. Application papers are expected to describe complex and/or real-world applications that rely on innovative use of declarative languages. Application descriptions, engineering solutions and real-world experiences (both positive and negative) are solicited. The limit for application papers is 8 pages (plus one page of references) but such papers can also point to sites with supplemental information about the application or the system that they describe.

The proceedings of PADL 2020 will appear in the LNCS series of Springer Verlag: https://www.springer.com/gp/computer-science/lncs.

Journal Publication for Best Papers

The best papers (as selected by the PC chairs) will be invited to submit a longer version for journal publication after the symposium. For papers related to logic programming, in the journal Theory and Practice of Logic Programming (TPLP) https://www.cambridge.org/core/journals/theory-and-practice-of-logic-programming, and for papers related to functional programming, in Journal of Functional Programming (JFP) https://www.cambridge.org/core/journals/journal-of-functional-programming.

The authors of these papers will be invited to submit a journal version containing at least 30% new material. This will be reviewed by the PC and/or the respective journal editors for a swifter reviewing process of the journal version.

Such extensions could be explanations for which there was no space, illuminating examples and proofs, additional definitions and theorems, further experimental results, implementational details and feedback from practical/engineering use, extended discussion of related work and such like.

The proceedings of PADL 2020 will appear in the Springer LNCS series: https://www.springer.com/gp/computer-science/lncs

Free access to the proceedings (LNCS 12007) will be granted to all conference participants for 4 weeks through the following link: https://link.springer.com/book/10.1007/978-3-030-39197-3

PADL has 4 Discussion Panels this year:

Panel 1: Programming with logic for the masses Panelists: Nikolaj Bjørner, Microsoft Research; Paul Tarau, University of North Texas; Kinjal Basu; Farhad Shakerin; Gopal Gupta; Alex Brik, Jeffrey Xu, UCLA; Vinh The Nguyen, Texas Tech University; Yuanlin Zhang; Kwanghee Jung; Wanli Xing; Tommy Dang, Texas Tech University

Panel 2: Memory and real-time programming in practice Panelists: Martin Elsman, University of Copenhagen, Denmark; Niels Hallenberg; Bhargav Shivkumar; Jeffrey Murphy; Lukasz Ziarek, SUNY Buffalo, USA; David Janin, Bordeaux INP / CNRS LaBRI / Bordeaux University

Panel 3: Reasoning for machine learning at large Panelists: Adnan Darwiche, UCLA; Johannes K. Fichte, TU Dresden; Markus Hecher; Patrick Thier; Stefan Woltran; Farhad Shakerin; Gopal Gupta; Martin Erwig, Oregon State University; Prashant Kumar; Alan Fern; Johannes Eriksson; Masoumeh Parsa; Ramy Shahin; Marsha Chechik, University of Toronto, Konstantinos Sagonas

Panel 4: Experience and Direction Panelists: Molham Aref, Relational.ai; Mayur Naik, University of Pennsylvania; Grant Passmore, Imandra Inc.; Philip Wadler, University of Edinburgh, UK

All attendees are invited to add their questions to the panelists following this link: https://docs.google.com/document/d/1nIPQU9jjLw1COdhCPZ8wz1w3nF8kupj5X48d_DDMDVk/edit#