IPSS: a hybrid reasoner for planning and scheduling
Maria Dolores R-Moreno, Angelo Oddi, Daniel Borrajo, Amedeo Cesta, Daniel Meziat · European Conference on Artificial Intelligence · 2004
In this paper we describe IPSS (Integrated Planning and Scheduling System), a domain independent solver that integrates an AI heuristic planner, that synthesizes courses of actions, with a constraint-based scheduler for reasoning about time and resources. IPSS is able to solve planning problems with time (precedence constraints, deadline, time windows, etc) and binary resource usage/consumption. Experimental results show that the contextual reasoning of the planner with the constraint-based solver allows to improve the total makespan on a set of problems characterized by multiple agents.