Results 261 to 270 of about 1,243,465 (283)

Guiding Belief Space Planning with Learned Models for Interactive Merging

2022 IEEE 25th International Conference on Intelligent Transportation Systems (ITSC), 2022
Safely navigating complex, interactive situations is one of the major challenges in planning for automated vehicles. The key difficulty is that drivers have unobservable properties determining their driving style.
Johannes Fischer, Etienne Bührle, Danial Kamran, C. Stiller   +3 more
semanticscholar   +1 more source

Quantum-Based Belief Merging

2009
Belief merging aims at building a common belief set issued from multiple belief sets. The quality of the resulting set is usually considered in terms of a closeness criterion between the initial belief sets and an integrity constraint with respect to the aim of the merging procedure.
Laurent Perrussel, Jerusa Marchi, Guilherme Bittencourt   +2 more
openaire   +1 more source

Declarative Belief Set Merging Using Merging Plans

2011
We present a declarative framework for belief set merging tasks over (possibly heterogeneous) knowledge bases, where belief sets are sets of literals. The framework is designed generically for flexible deployment to a range of applications, and allows to specify complex merging tasks in tree-structured merging plans, whose leaves are the possible ...
Christoph Redl, Thomas Eiter, Thomas Krennwallner   +2 more
openaire   +1 more source

Compositional Belief Merging.

2012
No ...
Everaere, Patricia, Konieczny, Sébastien, Marquis, Pierre   +2 more
openaire   +2 more sources

Main Issues in Belief Revision, Belief Merging and Information Fusion

A Guided Tour of Artificial Intelligence Research, 2020
D. Dubois, Patricia Everaere, S. Konieczny, Odile Papini   +3 more
semanticscholar   +1 more source

Merging Interval-Based Possibilistic Belief Bases

2012
In the last decade, several approaches were introduced in literature to merge multiple and potentially conflicting pieces of information. Within the growing field of application favourable to distributed information, data fusion strategies aim at providing a global and consistent point of view over a set of sources which can contradict each other ...
Benferhat, Salem, Hué, Julien, Lagrue, Sylvain, Rossit, Julien   +3 more
openaire   +3 more sources

Argumentation Framework for Merging Stratified Belief Bases

2016
This paper introduces a new approach for belief merging by using argumentation technique. The key idea is to organize each belief merging process as a game in which participating agents use argumentation technique to debate on their own belief bases to achieve consensus i.e. a common belief base. To this end, we introduce a framework for merging belief
Trong Hieu Tran, Thi Hong Khanh Nguyen, Quang-Thuy Ha, Ngoc Trinh Vu   +3 more
openaire   +1 more source

A Characterization of Belief Merging Operators in the Regular Horn Fragment of Signed Logic

Modeling Decisions for Artificial Intelligence, 2020
Pilar Dellunde
semanticscholar   +1 more source

Specifying the Merging of Desires into Goals in the Context of Beliefs

2002
Rao and Georgeff's BDICTL logic is a popular specification and verification language for cognitive agent systems, in which desires and goals are unified into a single motivational attitude. In this paper desires and goals are distinguished to specify the merging of desires into goals, an important process in several agent systems such as Broersen et al.
Mehdi Dastani, Leendert W. N. van der Torre   +1 more
openaire   +2 more sources

Merging Belief Bases Represented by Logic Programs

2009
This paper presents a method which allows for merging beliefs expressed thanks to logic programming with stable model semantics. This method is based on the syntactic merging operators described in the framework of propositional logic. The study of these operators leads to a new definition of the consequence relation between logic programs which is ...
Julien Hué, Odile Papini, Éric Würbel
openaire   +1 more source