122 citations · 266 across the 12 of their papers we have counts for
10 papers · 1 filter
A context-aware knowledge acquisition for planning applications using ontologies
Mohannad Babli, Eva Onaindia
Automated planning technology has developed significantly. Designing a planning model that allows an automated agent to be capable of reacting intelligently to unexpected events in…
Extending planning knowledge using ontologies for goal opportunities
Mohannad Babli, Eva Onaindia, Eliseo Marzal
Approaches to goal-directed behaviour including online planning and opportunistic planning tackle a change in the environment by generating alternative goals to avoid failures or s…
Learning STRIPS Action Models with Classical Planning
Diego Aineto, Sergio Jiménez, Eva Onaindia
This paper presents a novel approach for learning STRIPS action models from examples that compiles this inductive learning task into a classical planning task. Interestingly, the c…
Cooperative Multi-Agent Planning: A Survey
Alejandro Torreño, Eva Onaindia, Antonín Komenda +1
Cooperative multi-agent planning (MAP) is a relatively recent research field that combines technologies, algorithms and techniques developed by the Artificial Intelligence Planning…
Handling PDDL3.0 State Trajectory Constraints with Temporal Landmarks
Eliseo Marzal, Mohannad Babli, Eva Onaindia +1
Temporal landmarks have been proved to be a helpful mechanism to deal with temporal planning problems, specifically to improve planners performance and handle problems with deadlin…
Evaluating the quality of tourist agendas customized to different travel styles
Jesús Ibáñez-Ruiz, Laura Sebastiá, Eva Onaindia
Many tourist applications provide a personalized tourist agenda with the list of recommended activities to the user. These applications must undoubtedly deal with the constraints a…