Humans cannot always be treated as oracles for collaborative sensing. Robots thus need to maintain beliefs over unknown world states when receiving semantic data from humans, well account possible discrepancies between human-provided and these beliefs. To this end, paper introduces the problem of association (SDA) in relation conventional problems sensor fusion. It then develops a novel probabi...

In this paper, we propose a modal logic for reasoning about possibilistic belief fusion. This is a combination of multiagent epistemic logic and possibilistic logic. We use graded epistemic operators to represent agents’ uncertain beliefs, and the operators are interpreted in accordance with possibilistic semantics. We employ ordered fusion based on a level skipping strategy to resolve the inco...

Título: Una comparación longitudinal de los modelos de los trastornos de ansiedad de la terapia metacognitiva y la terapia de aceptación y compromiso. Resumen: La terapia metacognitiva (MCT) sugiere que los trastornos de ansiedad son causados por el síndrome atencional cognitivo (CAS), que es apoyado por creencias metacognitivas disfuncionales. La terapia de aceptación y compromiso (ACT) enfati...

Bayesian hypothesis testing inevitably requires prior probabilities of hypotheses. Motivated by human decision makers, this thesis studies how binary decision making is performed when the decision-making agents use imperfect prior probabilities. Three detection models with multiple agents are investigated: distributed detection with symmetric fusion, sequential detection with social learning, a...

  Background   Drug abuse and its unfavorable consequences are considered the most important concerns and social issues of the present era, and drug abuse and its destructive consequences are challenging issues concerning the students’ health. The present study aimed to investigate the relationship between health beliefs and family functioning with dr...

Underlying much of the information processing applications is the needto fuse information. Moreover, with the necessity to represent and reason over morecomplex symbolic and semantic information, these applications are turning towardsnew standardized Semantic Web technologies, such as OWL ontologies.Within the Defense and Security context, information fusion applications aim...

There is continuously increasing interest in research on multi-sensor data fusion technology. Because Dempster's rule of combination can be problematic when dealing with conflicting data, there are numerous issues that make data fusion a challenging task, including the exponential explosion, Zadeh Paradox, and one-vote veto. These issues lead to a great difference between the fusion results and...

This paper deals with iterated belief change. Epistemic states are suitable to represent an intelligent agent’s knowledge. Most of the time, when dealing with geographic information, the agent faces incomplete, uncertain, or inaccurate information and needs a mechanism for either revision, update or fusion to handle his change in beliefs in the presence of new items of information. After some p...

Data fusion under the belief function framework has attracted the interest of many researchers over the past few years. Until now, many combination rules have been proposed in order to aggregate beliefs induced form dependent or independent information sources. Although the choice of the most appropriate rule among several alternatives is crucial, it still requires non-trivial effort. In this i...