Software Engineering and Formal Methods. SEFM 2024 Collocated Workshops

ReacTS 2024 and CIFMA 2024, Aveiro, Portugal, November 4–5, 2024, Revised Selected Papers

AvJosé Proença,Raul Fervari

Häftad, Engelska, 2025

Del 15551 i serien Lecture Notes in Computer Science

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Beskrivning

This volume constitutes the papers of two workshops which were held in conjunction with the 22nd International Workshop on Software Engineering and Formal Methods, SEFM 2024 Collocated Workshops, held in Aveiro, Portugal, during November 4-5, 2024.

Produktinformation

Utgivningsdatum:2025-08-12
Mått:155 x 235 x 17 mm
Vikt:458 g
Format:Häftad
Språk:Engelska
Serie:Lecture Notes in Computer Science
Antal sidor:291
Förlag:Springer International Publishing AG
ISBN:9783031947476

Utforska kategorier

Programvaruutveckling inom Data och IT
Systemvetenskap och AI inom Data och IT

Innehållsförteckning

ReacTS 2024ReacTS 2024 Organizers’s Message.- Behavioural Equivalences over Reconfigurable Systems.- Graph Games and Dynamic Logics.- Arbitrary Radical Upgrades.- Binders for switch graphs specification.- Higher-order arrows for Path-Dependent Many-Valued Systems.- Towards resolving distributed beliefs.- A new fuzzy approach to transition and bisimulation systems.- Pivotal Rules Consequence in Action Model Logic.- Paraconsistent Reactive Graphs.- Reconfiguring staggered quantum walks with ZX⋆.- Many-logic modal structures based on the lattice L6: a first look.- CIFMA 2024CIFMA 2024 Organizers’s Message.- On group secrets and the metacommunicative aspects of revealing a true secret.- Explicit Legg-Hutter intelligence calculations which suggest non-Archimedean intelligence.- Cognitive Aspects in the Formal Modelling of Multi-party Human-computer Interaction.- On the Morphic Problem in Artificial Neural Networks.- Time Factor in Neural Learning Processes.- How Does Culture Shape the Perception of Social Robots?.- Executive Cognitive Control of Free Choices.- Towards a Readability Criterion for Humans and Machines.- From birth to loss of representations in artificial neural networks.