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Zhe Hou is a lecturer in the School of Information and Communication Technology at Griffith University, Nathan, Australia. His research pursuits include explainable AI, autonomous systems, formal verification, and automated reasoning.
Although the fields of logic and computation are intrinsically related, most courses treat the two topics separately. This unique textbook aims to compress and unify important concepts of logical reasoning and computational theory, facilitating an in-depth understanding.
Delivering theory with practical approaches, the book features early chapters accompanied by exercises in Isabelle/HOL, a popular and user-friendly theorem prover. Latter chapters address modelling and verification in Process Analysis Toolkit (PAT), a feature-rich model checker based on Hoare’s Communicating Sequential Processes. The exposition focuses on the syntax, semantics and proof theory of various logics, as well as on automata theory, formal languages, computability, and complexity. It also builds a hybrid skill set of practical theorem proving and model checking, which will provide a solid grounding for future research or work involving formal methods.Topicsand features:
Zhe Hou is a lecturer in the School of Information and Communication Technology at Griffith University, Nathan, Australia. His research pursuits include explainable AI, autonomous systems, formal verification, and automated reasoning.
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