TY - JOUR AU - Ciolek, Daniel AU - D'Ippolito, Nicolás AU - Pozanco, Alberto AU - Sardiña, Sebastian PY - 2020/06/01 Y2 - 2024/03/29 TI - Multi-Tier Automated Planning for Adaptive Behavior JF - Proceedings of the International Conference on Automated Planning and Scheduling JA - ICAPS VL - 30 IS - 1 SE - Main Track DO - 10.1609/icaps.v30i1.6646 UR - https://ojs.aaai.org/index.php/ICAPS/article/view/6646 SP - 66-74 AB - <p>A planning domain, as any model, is never “complete” and inevitably makes assumptions on the environment's dynamic. By allowing the specification of just one domain model, the knowledge engineer is only able to make one set of assumptions, and to specify a single objective-goal. Borrowing from work in Software Engineering, we propose a <em>multi-tier</em> framework for planning that allows the specification of different sets of assumptions, and of different corresponding objectives. The framework aims to support the synthesis of <em>adaptive</em> behavior so as to mitigate the intrinsic risk in any planning modeling task. After defining the multi-tier planning task and its solution concept, we show how to solve problem instances by a succinct compilation to a form of non-deterministic planning. In doing so, our technique justifies the applicability of planning with <em>both</em> fair and unfair actions, and the need for more efforts in developing planning systems supporting dual fairness assumptions.</p> ER -