Analyzing plans with conditional effects
Elly Winner, Manuela Veloso · 2002
Several tasks, such as plan reuse and agent modelling, need to interpret a given or observed plan to generate the underlying plan rationale. Although there are several previous methods that successfully extract plan rationales, they do not apply to complex plans, in particular to plans with actions that have conditional effects. In this paper, we introduce SPRAWL,an algorithm to find a minimal annotated partially ordered structure in an observed totally ordered plan with conditional effects.