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Model checking is a computer-assisted method for the analysis of dynamical systems that can be modeled by state-transition systems. Drawing from research traditions in mathematical logic, programming languages, hardware design, and theoretical computer science, model checking is now widely used for the verification of hardware and software in industry. The editors and authors of this handbook are among the world's leading researchers in this domain, and the 32 contributed chapters present a thorough view of the origin, theory, and application of model checking. In particular, the editors classify the advances in this domain and the chapters of the handbook in terms of two recurrent themes that have driven much of the research agenda: the algorithmic challenge, that is, designing model-checking algorithms that scale to real-life problems; and the modeling challenge, that is, extending the formalism beyond Kripke structures and temporal logic. The book will be valuable for researchers and graduate students engaged with the development of formal methods and verification tools.

This Festschrift, dedicated to Bengt Jonsson on the occasion of his 60th birthday, contains papers written by many of his friends and collaborators. Bengt has made major contributions covering a wide range of topics including verification and learning. His works on verification, in finite state systems, learning, testing, probabilistic systems, timed systems, and distributed systems reflect both the diversity and the depth of his research. Besides being an excellent scientist, Bengt is also a leader who has greatly influenced the careers of both his students and his colleagues. His main focus throughout his career has been in the area of formal methods, and the research papers dedicated to him in this volume address related topics, particularly related to model checking, temporal logic, and automata learning.

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This timely book examines the role of fact-checking journalism within political policy debates, and its potential contribution to public engagement. Understanding facts not to operate in a political vacuum, the book argues for a wide remit for fact-checking journalism beyond empirically-checkable facts, to include the causal relationships and predictions that form part of wider political arguments and are central to electoral pledges. Whilst these statements cannot be proven or disproven, fact-checking can, and sometimes does, ask pertinent critical questions about the premises of those claims and arguments. The analysis centres on the three dedicated national British fact-checkers during the UK’s 2017 snap general election, including their activity and engagement on Twitter. The book also makes a close political discourse and argumentation analysis of three key issue debates in flagship reporting from Channel 4 News and the BBC.

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