AICYJan 17, 2019

A model for prohibition and obligation dilemmas generation in virtual environments

arXiv:1901.09790v1
Originality Synthesis-oriented
AI Analysis

This addresses the need for effective training tools in virtual environments for individuals facing critical decision-making scenarios, though it appears incremental as it builds on existing knowledge modeling and scenario generation techniques.

The paper tackles the problem of training individuals to handle critical dilemma situations in virtual environments by developing a Scenario Orchestration System that dynamically generates prohibition and obligation dilemmas using Knowledge Models, with a proof of concept presented for the generation process.

Under the project Maccoy Critical, we would like to train individuals, in virtual environments, to handle critical situations such as dilemmas. These latter refer to situations where there is no ``good'' solution. In other words, situations that lead to negative consequences whichever choice is made. Our objective is to use Knowledge Models to extract necessary properties for dilemmas to emerge. To do so, our approach consists in developing a Scenario Orchestration System that generates dilemma situations dynamically without having to write them beforehand. In this paper we present this approach and expose a proof of concept of the generation process.

Foundations

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