Aso Mollar, Ángel(Universitat Politècnica de València, 2022-10-13)
[ES] Uno de los grandes retos de la Inteligencia Artificial ha sido y sigue siendo la capacidad de inferir soluciones dadas instancias pequeñas de un problema, o incluso subproblemas, que puedan generalizar hacia otras de ...
Babli, Mohannad; Rincón-Arango, Jaime Andrés; Onaindia De La Rivaherrera, Eva; Carrascosa Casamayor, Carlos; Julian, Vicente(SpringerOpen, 2021-04-30)
[EN] Monitoring wellbeing and stress is one of the problems covered by ambient intelligence, as stress is a significant cause of human illnesses directly affecting our emotional state. The primary aim was to propose a ...
Sapena Vercher, Oscar; Torreño Lerma, Alejandro; Onaindia de la Rivaherrera, Eva(Cambridge University Press (CUP), 2016-11)
[EN] Most of the current top-performing planners are sequential planners that only handle total-order plans. Although this is a computationally efficient approach, the management of total-order plans restrict the choices ...
Babli, Mohannad; Sapena Vercher, Oscar; Onaindia De La Rivaherrera, Eva(Elsevier, 2023-08)
[EN] While executing its plan in a dynamic environment where multiple agents are operating, an autonomous agent may suffer a failure due to discrepancies between the expected and actual context and thus must replace its ...
Marzal Calatayud, Eliseo Jorge; Sebastiá Tarín, Laura; Onaindia de la Rivaherrera, Eva(Elsevier, 2016-08-15)
This paper presents TempLM, a novel approach for handling temporal planning problems with deadlines. The proposal revolves around the concept of temporal landmark, a proposition that must be necessarily true in all solution ...