Statistical Model Checking for Swarms
• Poster
This SEI poster created for the 2016 Research Review illustrates input attribution.
Publisher
Software Engineering Institute
Abstract
Statistical Model Checking (SMC) provides an estimate on the probability 𝑃[ℳ⊨Φ] that a predicate Φ in a model ℳ is satisfied; but does not address why a particular result was obtained. The goal of Input Attribution (IA) is to use machine learning techniques to synthesize an explanation for an SMC result in terms of the inputs. IA for SMC can be thought of as analogous to the counter-example in traditional model checking.