Recently, Markus Hecher has won the EurAI dissertation award 2021, as well as the GI Dissertationspreis 2021 for his excellent PhD thesis. Further, for his contributions in KR and AI so far, he received the KR Early Career Award 2022.
An Erwin Schrödinger Research Funding was granted to team member Markus Hecher. He will work on his project "QuantASP - Quantitatives Schlussfolgern und Zählen für ASP" (translation: quantitative reasoning and counting for ASP) at the "Computer Science and Artificial Intelligence Laboratory" at M.I.T. (Massachusetts Institute of Technology).
For their respective dissertations, Jan Maly received the "Dissertationspreis der Stadt Wien" from the city council of Vienna, and Markus Hecher received the "award of excellence" from the Austrian ministry of education, science, and research. You can find out more about the awardees and their theses here.
We are happy to announce that two papers by team members have been accepted to this year's International Conference on Principles and Practice of Constraint Programming (CP 2021) and another two papers (one long, one short) at the International Conference on Principles of Knowledge Representation and Reasoning (KR 2021).
We are pleased to announce that Viktor Besin, Markus Hecher and PI Stefan Woltran won the Best Paper Award and Best Student Paper Award with their paper Utilizing Treewidth for Quantitative Reasoning on Epistemic Logic Programs at the International Conference on Logic Programming ICLP 2021.
The project team submitted two argumentation solvers to this year's International Competition on Computational Models of Argumentation (ICCMA): the new tree decomposition-based portfolio A-Folio DPDB and the updated ASP-based ASPARTIX-V21 system.
We are happy to announce that A-Folio DPDB won the classical tracks for complete and stable semantics, and ASPARTIX-V21 won the classical track for stage semantics!
The new Special Issue of Theory and Practice of Logic Programming on revised and extended papers presented at LPNMR'19 with Guest Editors Marcello Balduccini, Yuliya Lierler, and PI Stefan Woltran (also co-chair of LPNMR'19) is now available.
Team member Markus Hecher successfully defended his binational PhD thesis Advanced Tools and Methods for Treewidth-Based Problem Solving.
Congratulations!
Image (left to right): Markus Hecher, supervisor Stefan Woltran, and co-supervisor Torsten Schaub.
An Erwin Schrödinger research funding was granted to project member Jan Maly for his project "A holistic analysis of participatory budgeting". Soon the project will start and Jan will continue his work at the Institute of Logic, Language and Computation of the University of Amsterdam.
PI Stefan Woltran was invited to give a talk at CILC 2020 titled "Computational Argumentation - Formal Models and Complexity Results".
The abstract can be found here.
Team member Markus Hecher co-organized the first international competition on model counting (MC 2020), the first international workshop on model counting (MCW 2020), and the 13th edition of the Workshop on Answer Set Programming and Other Computing Paradigms (ASPOCP 2020).
Moreover, PI Stefan Woltran and team members Martin Lackner and Jan Maly organized the First Vienna Workshop on Computational Social Choice.
All of the events were a great success!
Team member Jan Maly successfully defended his PhD thesis Ranking Sets of Objects: How to Deal with Impossibility Results.
The full thesis is available here.
Congratulations!
We are delighted to announce that two papers by team members have been accepted for presentation at this year's AAAI conference in New York.
Team member Markus Hecher successfully co-organize this years PACE-Challenge. A report on the challenge can written by Johannes Fichte and Markus Hecher can be found in the FTP Newsletter.
Team member Günther Charwat published the paper "Expansion-based QBF Solving on Tree Decompositions" in Fundamenta Informaticae, vol. 167 describing the dynQBF system developed in the project.
PI Stefan Woltran was co-chair for LPNMR 2019 (15th International Conference on Logic Programming and Nonmonotonic Reasoning). The conference took place in Philadelphia, USA on June 3 - 7, 2019.
Team member Markus Hecher participated and gave a talk at the Shonan Meeting 144 "Parameterized Graph Algorithms & Data Reduction" in Shonan, Japan titled "Projected model counting using small treewidth". The slides can be found here.
We are delighted to announce that four papers by team members have been accepted for presentation at this year's AAAI conference in Hawaii. The conference proceedings are now available here.
Master student Andre Schidler presented his master thesis "A Solver for the Steiner Tree Problem with few Terminals" at the TU Epilog. The thesis was written under the supervision of PI Stefan Woltran and team member Johannes Fichte. The developed solver achieved the 4th place out of 12 participants in track A of the PACE 2018 competition.
TU Wien hosted this years edition of the taasp. workshop with invited talks by Vladimir Lifschitz, and Gerd Brewka. The workshop was co-organized by team members Michael Morak and Markus Hecher.
We are happy to announce that team member Markus Hecher will co-organize next years PACE-Challenge.
Congratulations to PI Stefan Woltran, who has been elected a fellow of the European Association for Artificial Intelligence (EurAI).
The new Special Issue of KI on Answer Set Programming by Guest Editors Torsten Schaub and Stefan Woltran is now available, answering the questions "What Answer Set Programming is about" and "What Answer Set Programming can do for you".
Andre Schidler, Johannes Fichten and Markus Hecher successfully participated in the PACE'18 challenge and achieved the 4th place out of 12 participants in track A.
Thank you to the competition organizers!
For older news, see the news archive.
TopHandling computationally complex queries over huge data is an insurmountable obstacle for standard algorithms, thus novel methods are required. Our solution is to exploit structure. In reality, social networks are not random graphs and medical ontologies are not arbitrary sets of relations. Thus, structural parameters can serve as a key to apply recent techniques from the area of parameterized complexity. We shall focus here on the concept of decomposition (which divides the problem into smaller pieces making use of structural properties of the instance) and dynamic programming algorithms which solve the problem in terms of the decomposed instance. Notably, structure is not solely found in data like social networks but is also present in queries for complex reasoning (for instance, when seeking for a certain structure in molecules, this is naturally reflected in the query). The main vision of the decodyn project is to understand how structure can be simultaneously exploited on these two different levels, in such a way that (deco)mposition and (dyn)amic programming provide novel methods to make problems of this kind amenable to today's computers.
Several query languages which allow formalizations of complex reasoning tasks are nowadays available, among them variants of datalog or description logics. In the course of the project, we will first focus on Answer-Set Programming (also known as disjunctive datalog). In fact, Answer-Set Programming has shown great potential in the aforementioned application areas, but its use is still limited when problems of huge size have to be solved. In the second phase, we intend to migrate our results and methods to other reasoning paradigms and query languages.
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Several systems delivered and extended in course of the project are publicly available.