The Complexity of Boolean State Separation (Technical Report)
Ronny Tredup, Evgeny Erofeev

TL;DR
This paper characterizes the computational complexity of the state separation problem in Boolean Petri nets, providing a comprehensive understanding of when such nets can be synthesized from transition systems.
Contribution
It offers a complete complexity classification of the $ au$-state separation property for all Boolean Petri net types, advancing theoretical understanding.
Findings
Provides complexity classifications for $ au$-SSP across all Boolean Petri net types.
Establishes conditions under which a transition system can be embedded into a $ au$-net.
Clarifies the relationship between $ au$-SSP and $ au$-ESSP in net synthesis.
Abstract
For a Boolean type of nets , a transition system is synthesizeable into a -net if and only if distinct states of correspond to distinct markings of , and prevents a transition firing if there is no related transition in . The former property is called -state separation property (-SSP) while the latter -- -event/state separation property (-ESSP). is embeddable into the reachability graph of a -net if and only if has the -SSP. This paper presents a complete characterization of the computational complexity of \textsc{-SSP} for all Boolean Petri net types.
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Taxonomy
TopicsMachine Learning and Algorithms · Quantum Computing Algorithms and Architecture · Computability, Logic, AI Algorithms
