2007

Current reasoning systems attempt to model an agent's knowledge and interaction with its environment in a symbolic manner. This environment, its world is generally dynamic and changing due to natural evolution or the actions of other agents that are a…

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…

Mémoire numérisé par la Division de la gestion de documents et des archives de l'Université de Montréal

The design of intelligent agents is a key issue for many applications. Although there is no universally accepted de nition of intelligence, a notion of rational agency has been proposed as an alternative for the characterization of intelligent agency.
Modeling…

The Sami people have struggled for centuries to maintain their culture in spite of pressures against it from colonialism. The formal education systems of Norway and Finland have acted in discord with Sami decision-making since their inception. In response to…

Thèse numérisée par la Division de la gestion de documents et des archives de l'Université de Montréal

Research in decision making has identified the importance of prior knowledge and heuristics on decision making behaviour. These develop with experience in a fashion similar to how domain experts develop specialized knowledge structures and heuristic reasoning patterns. This research is…

The aim of this study is to test the assumption that the depictions of ancient boxing found on Attic Black and Red Figure pottery are accurate. Due to the scarcity of ancient written material and physical evidence, most of our…

This paper presents a proposal for an architecture that integrates knowledge discovery systems (automatic acquisition) and knowledge based systems (experts systems). This work formulates considerations over the viability of the implementation of this architecture according to the advance of the…