In this thesis we focus on the design and implementation of a particular framework of Possibilistic Defeasible Logic Programming (RP-DeLP). This framework is based on a general notion of collective (non-binary) conflict among arguments allowing to ensure direct and indirect consistency properties with respect to the strict knowledge. An output of an RP-DeLP program is a pair of sets of warranted and blocked conclusions (literals), all of them recursively based on warranted conclusions but, while warranted conclusions do not generate any conflict, blocked conclusions do. An RP-DeLP program may have multiple outputs in case of circular definitions of conflicts among arguments. We introduce two semantics, the first one where all possible ...
By using Reinforcement Learning (RL), an autonomous agent interacting with the environment can learn...
Muchos problemas procedentes de aplicaciones del mundo real pueden ser modelados como problemas mate...
Tesis por compendio[EN] The work done for this doctorate thesis focuses on error correction of Next ...
This doctoral dissertation is structured in four chapters as follows. The first chapter contains a s...
This doctoral dissertation is structured in four chapters as follows. The first chapter contains a s...
In this thesis we have explored the co-designed paradigm to show alternative processor design points...
Logic programming and constraint programming are two declarative programming paradigms which rely on...
This thesis takes a HW/SW collaborative approach to tackle the problem of computational inefficiency...
Tesi en modalitat de cotutela: Universitat Politècnica de Catalunya i École Centrale de NantesIdenti...
Tesi en modalitat de cotutela: Universitat Politècnica de Catalunya i École Centrale de NantesIdenti...
Tesis per compendi de publicacions, amb diverses seccions retallades per drets d'editorThe improveme...
The world of computing simulation has experienced great progresses in recent years and requires more...
Supervised machine learning relies on a labeled training set, whose size is closely related to the a...
Supervised machine learning relies on a labeled training set, whose size is closely related to the a...
Supervised machine learning relies on a labeled training set, whose size is closely related to the a...
By using Reinforcement Learning (RL), an autonomous agent interacting with the environment can learn...
Muchos problemas procedentes de aplicaciones del mundo real pueden ser modelados como problemas mate...
Tesis por compendio[EN] The work done for this doctorate thesis focuses on error correction of Next ...
This doctoral dissertation is structured in four chapters as follows. The first chapter contains a s...
This doctoral dissertation is structured in four chapters as follows. The first chapter contains a s...
In this thesis we have explored the co-designed paradigm to show alternative processor design points...
Logic programming and constraint programming are two declarative programming paradigms which rely on...
This thesis takes a HW/SW collaborative approach to tackle the problem of computational inefficiency...
Tesi en modalitat de cotutela: Universitat Politècnica de Catalunya i École Centrale de NantesIdenti...
Tesi en modalitat de cotutela: Universitat Politècnica de Catalunya i École Centrale de NantesIdenti...
Tesis per compendi de publicacions, amb diverses seccions retallades per drets d'editorThe improveme...
The world of computing simulation has experienced great progresses in recent years and requires more...
Supervised machine learning relies on a labeled training set, whose size is closely related to the a...
Supervised machine learning relies on a labeled training set, whose size is closely related to the a...
Supervised machine learning relies on a labeled training set, whose size is closely related to the a...
By using Reinforcement Learning (RL), an autonomous agent interacting with the environment can learn...
Muchos problemas procedentes de aplicaciones del mundo real pueden ser modelados como problemas mate...
Tesis por compendio[EN] The work done for this doctorate thesis focuses on error correction of Next ...