Dagstuhl-Seminar 21091
Algorithmic Foundations of Programmable Matter Cancelled
( 28. Feb – 05. Mar, 2021 )
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Ersetzt durch
Organisatoren
- Aaron Becker (University of Houston, US)
- Sándor Fekete (TU Braunschweig, DE)
- Irina Kostitsyna (TU Eindhoven, NL)
- Matthew J. Patitz (University of Arkansas - Fayetteville, US)
- Damien Woods (National University of Ireland - Maynooth, IE)
Kontakt
- Michael Gerke (für wissenschaftliche Fragen)
- Jutka Gasiorowski (für administrative Fragen)
„Algorithmic Foundations of Programmable Matter” is an area that designs models and algorithms for materials that can change their physical properties in a programmable fashion or based on external stimuli. Many research areas have already been brought together, with connections to distributed computing, computational geometry, self-assembly, and swarm robotics, but the number of problems that have been identified so far is limited. In this Dagstuhl Seminar, we will significantly broaden the range of problems by seeking inspiration from researchers in areas where programmable matter promises to have a major impact in the future: engineering, physics and biological systems. Each of these areas also have their specific characteristics and challenges making them particularly interesting for this seminar: physics with its very small components, space technologies and engineering with their extremely large structures, and biology with its extremely complex structures. As a second objective, we will intensify interactions between participants towards concrete outcomes, which was successfully initiated during the previous Dagstuhl Seminar (18331, Algorithmic Foundations of Programmable Matter).
Klassifikation
- artificial intelligence / robotics
- bioinformatics
- data structures / algorithms / complexity
Schlagworte
- Programmable matter
- distributed algorithms
- robotics
- self-assembly
- reconfiguration