会议信息

RP 2020: International Conference on Reachability Problems

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RP
截稿日期:
2020-06-30
通知日期:
2020-08-17
会议日期:
2020-10-19
会议地点:
Paris, France
届数:
14
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征稿

RP 2020 (International Conference on Reachability Problems) is an academic conference held in Paris, France on 2020-10-19. The paper submission deadline is 2020-06-30. Acceptance notifications are sent on 2020-08-17.

The institut de recherche en informatique fondamentale at Université de Paris organises the 14th International Conference on Reachability Problems (RP'20). Papers presenting original contributions related to reachability problems in different computational models and systems are being sought. This will also be the occasion to review recent breakthroughs by renowned invited experts and survey emerging trends and emphasise on key open challenges. Participants are kindly encouraged to discuss core scientific issues that need to be further tackled. The conference proceedings will be published in Springer's Lecture Notes in Computer Science (LNCS). A selection of articles among the contributed papers will be invited to a special issue of a journal (TBA). Topics The conference is specifically aimed at gathering together scholars from diverse disciplines and backgrounds interested in reachability problems that appear in ● Algebraic structures ● Automata theory and formal languages ● Computational game theory ● Concurrency and distributed computation ● Decision procedures in computational models ● Hybrid dynamical systems ● Logic and model checking ● Verification of finite and infinite-state systems Topics of interest include (but are not limited to): reachability problems in infinite-state systems, rewriting systems, dynamical and hybrid systems; reachability problems in logic and verification; reachability analysis in different computational models, counter timed/ cellular/ communicating automata; Petri nets; computational and combinatorial aspects of algebraic structures (semigroups, groups and rings); frontiers between decidable and undecidable reachability problems; predictability in iterative maps and new computational paradigms.
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