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Lecture Notes in Computer Science
Automatically generated models may provide the key towards controlling the evolution of complex systems, form the basis for test generation and may be applied as monitors for running applications. However, the practicality of automata learning is currently largely preempted by its extremely high complexity and unrealistic frame conditions. By optimizing a standard learning method according to domainspecific structural properties, we are able to generate abstract models for complex reactivedoi:10.1007/978-3-540-45069-6_31 fatcat:o53xeniwzbavjeo4lo3r5vecme