Paris Automata and Concurrency Theory Seminar

(Paris ACTS)

Upcoming Seminars

29 January 2025

Venue: IRIF, Université Paris Cité

Speaker 1: (present) Laetitia Laversa, IRIF, Université Paris Cité, France

Title: TBA

Speaker 2: (present) Glynn Winskel, Queen Mary University of London, UK

Title: From Concurrent Games to Gödel's Dialectica Interpretation

Abstract: Computation today is highly distributed and interactive. Event structures represent computation in terms of causal dependency and conflict relations on events; the relations make precise the sense in which events can occur concurrently (independently, in parallel). By redeveloping games in sufficient generality, as event structures, interactive computation becomes a strategy and its type a game. Then the dichotomy between a system and its environment is caught in the distinction between Player and Opponent moves. A functional approach has to handle the dichotomy much more ingeniously, through its blunter distinction between input and output. This has led to a variety of functional approaches, specialised to particular interactive demands. A surprise in the development of concurrent games has been that several, seemingly disparate, historical approaches in logic and computation reappear as special cases. They include stable domain theory; nondeterministic dataflow; geometry of interaction; the dialectica interpretation; lenses and optics; and their extensions to containers in dependent lenses and optics.

Past Seminars

10 October 2024

Venue: LRE, EPITA Paris

Speaker 1: (present) Uli Fahrenberg, EPITA

Title: Introduction to Paris ACTS

Abstract:

Speaker 2: (online) Ian Hayes, University of Queensland, Brisbane, Australia

Title: Concurrent Refinement Algebra

Abstract:

26 November 2024

Venue: LIX, École polytechnique

Speaker 1: (present) Enzo Erlich, IRIF, Université Paris Cité, France

Title: Expressivity of First Order and Temporal Logics for Pomset Languages

Abstract:

Speaker 2: (online) Masaki Waga, Kyoto University, Japan

Title: Active Learning of Deterministic Timed Automata with Myhill-Nerode Style Characterization

Abstract: