Génération dynamique de situations critiques en environnements virtuels : dilemme et ambiguïté

Abstract : Our work is related to dynamic generation of critical situations in virtual environments. We focus on two particular types of critical situations : dilemmas and ambiguous situations. The challenge of this work is to generate automatically these situations using knowledge models that are not destined to describe dilemmas and ambigous situations. A dilemma is commonly defined as a situation that includes a difficult choice. It refers to a situation where individuals have to choose between two, or more, inconvenient options. Ambiguity refers to situations that can be interpreted in different ways. In this work, we propose a formalization, inspired by humanities and social sciences, of these two notions. Using this formalization, we propose a set of algorithms and generation technics that use knowledge models — manipulated by domain experts — that are not destined to decribe dilemmas and ambiguous situations. The use of these models enables the generation engine to infer new knowledge used to extract the entities (e.g. actions, events, objects) that can potentially produce situations that meet the properties defined in the dilemma and ambiguity formalization. Furthermore, in order to propose an adapted content to each learner, it is necessary to take into consideration the values system of each person in the dilemma generation process. Thus, we propose to operationnalize the theory of universal values of (Schwartz, 2006). Concerning the ambiguity, it is necessary to take into account the level of knowledge of the learner regarding the world variables. Thus, we propose to model the mental representation of the learner. Besides, in order to consider the uncertainties in this representation, we propose to use the belief functions theory that is well-suited to this matter.
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https://hal.utc.fr/tel-01978866
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Submitted on : Monday, February 4, 2019 - 11:24:16 AM
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Azzeddine Benabbou. Génération dynamique de situations critiques en environnements virtuels : dilemme et ambiguïté. Intelligence artificielle [cs.AI]. Université de technologie de Compiègne, 2018. Français. ⟨tel-01978866v2⟩

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