Motion Planning with Uncertain Information in Robotic Tasks

This paper presents a method for Entity Disambiguation in Information Extraction from different sources in the web. Once entities and relations between them are extracted, it is needed to determine which ones are referring to the same real-world entity. We model the problem as a graph partitioning problem in order to combine the available information more accurately than a pairwise classifier. ...

System engineers are facing new opportunities and challenges at the beginning of this new century. Silicon technology has progressed even more rapidly than expected, and the increased miniaturization of devices enables monolithic system to realize very complex functions. New emerging technologies have matured, and start being candidates for replacing silicon-based technologies in the coming yea...

An H∞ filtering problem for a system driven by uncertain previewable signals is discussed, and a design method of an H∞ filtering law is presented. The problem pertains to generalized H∞ filtering with previewable reference signals or disturbances. The solvability condition is characterized by the solutions of differential/algebraic Riccati equations, and some interpretations are provided for t...

Context-aware systems must be able to deal with uncertain context information. We propose a generic context architecture and representation that incorporates the uncertainty of context elements in terms of upper and lower bounds of probabilities. It is shown how opinion nets can be used to reason with these upper and lower bound probabilities. In this way it is possible to combine ambiguous or ...

In the logical view on IR systems, retrieval is interpreted as implication [Rijsbergen 86]: Let d denote a document (represented as logical formula) and q a query, then retrieval deals with the task of finding those documents which imply the query, i.e. for which the formula d → q is true. Due to the intrinsic uncertainty and vagueness of IR, we have to switch to uncertain inference. Using a pr...

In planning, hybrid system states consisting of logical and numerical variables are usually assumed to be completely known. In particular, for numerical state variables full knowledge of their exact values is assumed. However, in real world applications states are results of noisy measurements and imperfect actuators. Therefore, a planned sequence of state transitions might fail to lead a hybri...

The thesis proposed here intends to assist Natural Language Processing tasks through the negation and speculation detection. We are focusing on the biomedical and review domain in which it has been proven that the treatment of these language forms helps to improve the performance of the main task. In the biomedical domain, the existence of a corpus annotated for negation, speculation and their ...

In information driven MAS, information consumers collect information about their environment from various sources such as sensors. However, there is no guarantee that a source will provide the requested information truthfully and correctly. Even if information is provided only by trustworthy sources, it can contain conflicts that hamper its usability. In this paper, we propose to exploit such c...

In this paper, a unified framework for rep­ resenting uncertain information based on the notion of an interval structure is proposed. It is shown that the lower and upper approx­ imations of the rough-set model, the lower and upper bounds of incidence calculus, and the belief and plausibility functions all obey the axioms of an interval structure. An inter­ val structure can be used to synthesi...