Reachability objectives are arguably the most basic ones in the theory of games on graphs (and beyond). But far from being bland, they constitute the cornerstone of this field. Reachability is everywhere, as are the tools we use to reason about it. In this invited contribution, we take the reader on a journey through a zoo of models that have reachability objectives at their core. Our goal is to illustrate how model complexity impacts the complexity of strategies needed to play optimally in the corresponding games and computational complexity.
@InProceedings{brihaye_et_al:LIPIcs.FSTTCS.2023.1, author = {Brihaye, Thomas and Goeminne, Aline and Main, James C. A. and Randour, Mickael}, title = {{Reachability Games and Friends: A Journey Through the Lens of Memory and Complexity}}, booktitle = {43rd IARCS Annual Conference on Foundations of Software Technology and Theoretical Computer Science (FSTTCS 2023)}, pages = {1:1--1:26}, series = {Leibniz International Proceedings in Informatics (LIPIcs)}, ISBN = {978-3-95977-304-1}, ISSN = {1868-8969}, year = {2023}, volume = {284}, editor = {Bouyer, Patricia and Srinivasan, Srikanth}, publisher = {Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik}, address = {Dagstuhl, Germany}, URL = {https://drops.dagstuhl.de/entities/document/10.4230/LIPIcs.FSTTCS.2023.1}, URN = {urn:nbn:de:0030-drops-193747}, doi = {10.4230/LIPIcs.FSTTCS.2023.1}, annote = {Keywords: Games on graphs, reachability, finite-memory strategies, complexity} }
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