Model Checking, Synthesis, and Learning Essays Dedicated to Bengt Jonsson on The Occasion of His 60th Birthday /

Model Checking, Synthesis, and Learning Essays Dedicated to Bengt Jonsson on The Occasion of His 60th Birthday / [electronic resource] : edited by Ernst-Rüdiger Olderog, Bernhard Steffen, Wang Yi. - 1st ed. 2021. - VIII, 219 p. 73 illus., 29 illus. in color. online resource. - Theoretical Computer Science and General Issues, 13030 2512-2029 ; . - Theoretical Computer Science and General Issues, 13030 .

Model Checking, Synthesis, and Learning -- From Linear Temporal Logics to Büchi Automata: The Early and Simple Principle -- Cause-Effect Reaction Latency In Real-Time Systems -- Quantitative Analysis of Interval Markov Chains -- Regular Model Checking: Evolution and Perspectives -- Regular Model Checking Revisited -- High-Level Representation of Benchmark Families for Petri Games -- Towards Engineering Digital Twinsby Active Behaviour Mining -- Never-Stop Context-Free Learning -- A Taxonomy and Reductions for Common Register Automata Formalisms.

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.

9783030913847

10.1007/978-3-030-91384-7 doi


Computer science.
Artificial intelligence.
Software engineering.
Microprogramming .
Computers, Special purpose.
Computer Science Logic and Foundations of Programming.
Artificial Intelligence.
Software Engineering.
Control Structures and Microprogramming.
Special Purpose and Application-Based Systems.

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