In this article we present a generalized dynamic argumentation framework that handles arguments expressed in an abstract language assumed to be some first order logic fragment. Once the formalism is presented, we propose a reification to the description logic ALC…

Inheritance is one of the most important object-oriented mechanisms, allowing code reuse and a conceptual hierachical modelling of a given domain.
However, as a white-box reuse mechanism, it introduces hidden (implicit) coupling between classes in a hierarchy. This problem makes…

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Knowledge-intensive processes are widely used to recover from errors, handle exceptional cases and complaints, and to improve or adapt a process itself. In this context, evolved Business-Process Reengineering (BPR) techniques are changing to give some answers to this reality. In…

This study investigates an approach of knowledge discovery and data mining in insufficient databases. An application of Computational Taxonomy analysis demonstrates that the approach is effective in such a data mining process. The approach is characterized by the use of…

This article describes the authors' experiences of delivering a 3-day introductory diabetes workshop for healthcare professionals and unregistered practitioners (such as healthcare assistants), aimed at helping them develop diabetes knowledge and confidence in working with people with diabetes. The training…

This dissertation, based on roughly eighteen months of fieldwork in two laboratories at Princeton University, examines how practitioners of synthetic biology orient themselves vis-à-vis organic systems, by both engaging with and displacing biological knowledge. It also explores experimental methods in…

The goal of this work involves the developing of an argumentation-based formalism that an agent could use for constructing plans. In this formalism, agents will have certain knowledge about the world, and a set of actions that they will be…

This paper discusses questions about communication of probabilistic knowledge in the light of current theories of agent communication. It will argue that there is a semantic gap between these theories and research areas related to probabilistic knowledge representation and communication,…

Recent work on the application of relevance theory to humorous speech-acts (jokes) defines these as being characterised by an increased demand in processing effort for the attainment of maximum contextual effects. This increase, however, is limited to the resolution of…