Conferences  >  Informatics  >  Information Theory, Foundations of Computer Science

Schloss Dagstuhl – Leibniz-Zentrum für Informatik GmbH

This GI-Dagstuhl Seminar aims to bring together junior researchers from different research areas related to the modeling and analysis of stochastic hybrid systems. The involved communities address quantitative modeling, the verification of (stochastic) hybrid systems, and statistical model checking. The seminar will cover intersecting research questions around semantics, tool interoperability, benchmarking, and reproducibility. Its goal is to launch discussions, the exchange of ideas, and fruitful collaborations with an emphasis on networking and the training of the participating young scientists to strengthen their qualifications and skills.

Hybrid systems; Stochastic systems; Formal methods; Modeling; Verification; Formal Languages and Automata Theory

Schloss Dagstuhl – Leibniz-Zentrum für Informatik GmbH

Mu-calculi are logical systems for reasoning about inductive and co-inductive constructions. They link a number of important fields in mathematics and theoretical computer science: arithmetic, recursion theory, temporal and spatial logics, topology, infinite games, descriptive set theory, and automata theory. The purpose of this Dagstuhl Seminar is to bring together experts from these fields to discuss connections and encourage new avenues of interdisciplinary collaboration.

Schloss Dagstuhl – Leibniz-Zentrum für Informatik GmbH

This Dagstuhl Seminar seeks to extend and deepen the convergence across disciplinary boundaries by fostering exchange and collaboration among the relevant experts and practitioners, uniting expertise in proof theory with proof complexity, categorical semantics, constructive mathematics, proof mining, program extraction, and automated theorem proving. By bridging these domains, we seek to empower the next generation of researchers to frame and connect their work within this converging landscape, ultimately advancing the computational applications of proof systems in both theoretical and practical contexts.

Banff International Research Station for Mathematical Innovation and Discovery (BIRS)

Information theory aims to find mathematically precise answers to fundamental questions such as how information is stored, processed, or sent reliably through noisy communication links. Towards the end of the 20th century, researchers started asking how these information-processing tasks change when information is encoded in systems exhibiting quantum-mechanical behavior. Remarkably, features of quantum mechanics such as the superposition principle and entanglement give rise to phenomena in information theory that cannot be realized with classical information-processing systems. Their discovery has led to the creation of the now thriving field of quantum information theory. A cornerstone of quantum information theory is the principle of non-additivity of information measures. Roughly speaking, non-additivity occurs if a communication resource becomes more powerful when used repeatedly or in conjunction with another resource. On the one hand, non-additivity effects are desirable as they push the limits of faithfully communicating information. On the other hand, they complicate an exact characterization of these limits in both mathematical and computational terms. Our workshop gathers experts from all areas of quantum information theory, with the goal of shedding further light on, and identifying new methods to study, the nature of non-additivity phenomena in quantum information-processing systems.