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Dagstuhl Reports, Volume 9, Issue 12



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Complete Issue
Dagstuhl Reports, Volume 9, Issue 12, December 2019, Complete Issue

Abstract
Dagstuhl Reports, Volume 9, Issue 12, December 2019, Complete Issue

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Dagstuhl Reports, Volume 9, Issue 12, December 2019, Complete Issue. In Dagstuhl Reports, Volume 9, Issue 12, pp. 1-136, Schloss Dagstuhl - Leibniz-Zentrum für Informatik (2020)


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@Article{DagRep.9.12,
  title =	{{Dagstuhl Reports, Volume 9, Issue 12, December 2019, Complete Issue}},
  pages =	{1--136},
  journal =	{Dagstuhl Reports},
  ISSN =	{2192-5283},
  year =	{2020},
  volume =	{9},
  number =	{12},
  editor =	{},
  publisher =	{Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{https://drops.dagstuhl.de/entities/document/10.4230/DagRep.9.12},
  URN =		{urn:nbn:de:0030-drops-120074},
  doi =		{10.4230/DagRep.9.12},
  annote =	{Keywords: Dagstuhl Reports, Volume 9, Issue 12, December 2019, Complete Issue}
}
Document
Front Matter
Dagstuhl Reports, Table of Contents, Volume 9, Issue 12, 2019

Abstract
Dagstuhl Reports, Table of Contents, Volume 9, Issue 12, 2019

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Dagstuhl Reports, Table of Contents, Volume 9, Issue 12, 2019. In Dagstuhl Reports, Volume 9, Issue 12, pp. i-ii, Schloss Dagstuhl - Leibniz-Zentrum für Informatik (2020)


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@Article{DagRep.9.12.i,
  title =	{{Dagstuhl Reports, Table of Contents, Volume 9, Issue 12, 2019}},
  pages =	{i--ii},
  journal =	{Dagstuhl Reports},
  ISSN =	{2192-5283},
  year =	{2020},
  volume =	{9},
  number =	{12},
  editor =	{},
  publisher =	{Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{https://drops.dagstuhl.de/entities/document/10.4230/DagRep.9.12.i},
  URN =		{urn:nbn:de:0030-drops-120088},
  doi =		{10.4230/DagRep.9.12.i},
  annote =	{Keywords: Table of Contents, Frontmatter}
}
Document
Big Graph Processing Systems (Dagstuhl Seminar 19491)

Authors: Angela Bonifati, Alexandru Iosup, Sherif Sakr, and Hannes Voigt


Abstract
This report documents the program and the outcomes of Dagstuhl Seminar 19491 "Big Graph Processing Systems". We are just beginning to understand the role graph processing could play in our society. Data is not just getting bigger, but, crucially, also more connected. Exploring, describing, predicting, and explaining real- and digital-world phenomena is increasingly relying on abstractions that can express interconnectedness. Graphs are such an abstraction. They can model naturally the complex relationships, interactions, and interdependencies between objects. However, after initial success, graph processing systems are struggling to cope with the new scale, diversity, and other real-world needs. The Dagstuhl Seminar 19491 aims to addresses the question: How could the next decade look like for graph processing systems? To identify the opportunities and challenges of graph processing systems over the next decade, we met in December 2019 with circa 40 high-quality and diverse researchers for the Dagstuhl Seminar on Big Graph Processing Systems. A main strength of this seminar is the combination of the data management and large-scale systems communities. The seminar was successful, and addressed in particular topics around graph processing systems: ecosystems, abstractions and other fundamental theory, and performance.

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Angela Bonifati, Alexandru Iosup, Sherif Sakr, and Hannes Voigt. Big Graph Processing Systems (Dagstuhl Seminar 19491). In Dagstuhl Reports, Volume 9, Issue 12, pp. 1-27, Schloss Dagstuhl - Leibniz-Zentrum für Informatik (2020)


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@Article{bonifati_et_al:DagRep.9.12.1,
  author =	{Bonifati, Angela and Iosup, Alexandru and Sakr, Sherif and Voigt, Hannes},
  title =	{{Big Graph Processing Systems (Dagstuhl Seminar 19491)}},
  pages =	{1--27},
  journal =	{Dagstuhl Reports},
  ISSN =	{2192-5283},
  year =	{2020},
  volume =	{9},
  number =	{12},
  editor =	{Bonifati, Angela and Iosup, Alexandru and Sakr, Sherif and Voigt, Hannes},
  publisher =	{Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{https://drops.dagstuhl.de/entities/document/10.4230/DagRep.9.12.1},
  URN =		{urn:nbn:de:0030-drops-120098},
  doi =		{10.4230/DagRep.9.12.1},
  annote =	{Keywords: Abstractions, Big Data, Big Graph, data management, Ecosystems, graph processing, Performance, systems, Theory}
}
Document
Future Automotive HW/SW Platform Design (Dagstuhl Seminar 19502)

Authors: Dirk Ziegenbein, Selma Saidi, Xiaobo Sharon Hu, and Sebastian Steinhorst


Abstract
This report documents the program and the outcomes of Dagstuhl Seminar 19502 "Future Automotive HW/SW Platform Design". The goal of this seminar was to gather researchers and practitioners from academia and industry to discuss key industrial challenges, existing solutions and research directions in the design of future automotive HW/SW platforms, particularly focusing on predictability of systems regarding extra-functional properties, safe integration of hardware and software components and programmability and optimization of emerging heterogeneous platforms.

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Dirk Ziegenbein, Selma Saidi, Xiaobo Sharon Hu, and Sebastian Steinhorst. Future Automotive HW/SW Platform Design (Dagstuhl Seminar 19502). In Dagstuhl Reports, Volume 9, Issue 12, pp. 28-66, Schloss Dagstuhl - Leibniz-Zentrum für Informatik (2020)


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@Article{ziegenbein_et_al:DagRep.9.12.28,
  author =	{Ziegenbein, Dirk and Saidi, Selma and Hu, Xiaobo Sharon and Steinhorst, Sebastian},
  title =	{{Future Automotive HW/SW Platform Design (Dagstuhl Seminar 19502)}},
  pages =	{28--66},
  journal =	{Dagstuhl Reports},
  ISSN =	{2192-5283},
  year =	{2020},
  volume =	{9},
  number =	{12},
  editor =	{Ziegenbein, Dirk and Saidi, Selma and Hu, Xiaobo Sharon and Steinhorst, Sebastian},
  publisher =	{Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{https://drops.dagstuhl.de/entities/document/10.4230/DagRep.9.12.28},
  URN =		{urn:nbn:de:0030-drops-120101},
  doi =		{10.4230/DagRep.9.12.28},
  annote =	{Keywords: automotive, hw/sw platforms, real-time systems, systems design automation}
}
Document
Artificial and Computational Intelligence in Games: Revolutions in Computational Game AI (Dagstuhl Seminar 19511)

Authors: Jialin Liu, Tom Schaul, Pieter Spronck, and Julian Togelius


Abstract
The 2016 success of Google DeepMind’s AlphaGo, which defeated the Go world champion, and its follow-up program AlphaZero, has sparked a renewed interest of the general public in computational game playing. Moreover, game AI researchers build upon these results to construct stronger game AI implementations. While there is high enthusiasm for the rapid advances to the state-of-the-art in game AI, most researchers realize that they do not suffice to solve many of the challenges in game AI which have been recognized for decades. The Dagstuhl Seminar 19511 "Artificial and Computational Intelligence in Games: Revolutions in Computational Game AI" seminar was aimed at getting a clear view on the unsolved problems in game AI, determining which problems remain outside the reach of the state-of-the-art, and coming up with novel approaches to game AI construction to deal with these unsolved problems. This report documents the program and its outcomes.

Cite as

Jialin Liu, Tom Schaul, Pieter Spronck, and Julian Togelius. Artificial and Computational Intelligence in Games: Revolutions in Computational Game AI (Dagstuhl Seminar 19511). In Dagstuhl Reports, Volume 9, Issue 12, pp. 67-114, Schloss Dagstuhl - Leibniz-Zentrum für Informatik (2020)


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@Article{liu_et_al:DagRep.9.12.67,
  author =	{Liu, Jialin and Schaul, Tom and Spronck, Pieter and Togelius, Julian},
  title =	{{Artificial and Computational Intelligence in Games: Revolutions in Computational Game AI (Dagstuhl Seminar 19511)}},
  pages =	{67--114},
  journal =	{Dagstuhl Reports},
  ISSN =	{2192-5283},
  year =	{2020},
  volume =	{9},
  number =	{12},
  editor =	{Liu, Jialin and Schaul, Tom and Spronck, Pieter and Togelius, Julian},
  publisher =	{Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{https://drops.dagstuhl.de/entities/document/10.4230/DagRep.9.12.67},
  URN =		{urn:nbn:de:0030-drops-120113},
  doi =		{10.4230/DagRep.9.12.67},
  annote =	{Keywords: artificial intelligence, computational intelligence, game theory, games, optimization}
}
Document
Interactive Design and Simulation (Dagstuhl Seminar 19512)

Authors: Thomas A. Grandine, Jörg Peters, and Ulrich Reif


Abstract
This report documents the program and the outcomes of Dagstuhl Seminar 19512 ""Interactive Design and Simulation". After the executive summary, the collection of abstracts of the presentations forms the core of this report, complemented by an example of working group results that highlights the diversity of backgrounds and approaches.

Cite as

Thomas A. Grandine, Jörg Peters, and Ulrich Reif. Interactive Design and Simulation (Dagstuhl Seminar 19512). In Dagstuhl Reports, Volume 9, Issue 12, pp. 115-134, Schloss Dagstuhl - Leibniz-Zentrum für Informatik (2020)


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@Article{grandine_et_al:DagRep.9.12.115,
  author =	{Grandine, Thomas A. and Peters, J\"{o}rg and Reif, Ulrich},
  title =	{{Interactive Design and Simulation (Dagstuhl Seminar 19512)}},
  pages =	{115--134},
  journal =	{Dagstuhl Reports},
  ISSN =	{2192-5283},
  year =	{2020},
  volume =	{9},
  number =	{12},
  editor =	{Grandine, Thomas A. and Peters, J\"{o}rg and Reif, Ulrich},
  publisher =	{Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{https://drops.dagstuhl.de/entities/document/10.4230/DagRep.9.12.115},
  URN =		{urn:nbn:de:0030-drops-120120},
  doi =		{10.4230/DagRep.9.12.115},
  annote =	{Keywords: simulation of physical systems, geometric models for engineering analysis, partial differential equations, interactive and real-time computation splines, model reduction}
}

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