There exists a large amount of knowledge representation models. But most of them have significant limitations at the epistemic level. They do not have explanatory power. Most of them do not have means to represent some functional needs to work…

In this work we present an approach to model an action-oriented system controlled by BDI agents using a defeasible argumentation formalism to represent its knowledge. Here, our main concern will be modelling the software agents that drive the physical robots.

Signature schemes are fundamental cryptographic primitives, useful as a stand-alone application, and as a building block in the design of secure protocols and other cryptographic objects. In this thesis, we study both the uses that signature schemes find in protocols,…

This study presents a theoretical model for predictions of near-shore hydrodynamic characteristics and the local sediment transport rate along long, straight beaches. The wave may be periodic or random, the beach may be plane or barred, and the bed may…

Effective document retrieval using domain knowledge and semantics is one of the major challenges in Information Retrieval. Over the last years, there has been a growing interest in ontologies as an artifact for human knowledge representation and a critical component…

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Evolutionary algorithms (EAs) are merely blind search algorithms, which only make use of the relative fitness of solutions, but completely ignore the nature of the problem. Their performance can be improved by using new multirecombinative approaches, which provide a good…

This paper presents an overview of a theory of discourse structure, and discusses a model for assimilating text into a frame-based data structure. The model has been applied to the analysis of news articles. The theory assumes sentences contain links…

Following the deaths of Victoria Climbié and of Peter Connelly (Baby P) the media has raged about social work competence, the public have expressed dismay and the government has responded with proposals designed to alter practice procedures. Altering procedures gives…

A fuzzy controller is usually designed by formulating the knowledge of a human expert into a set of linguistic variables and fuzzy rules. As it is well known, the use of prior knowledge can dramatically improve the performance and quality…