Story Generation and Aviation Incident Representation
Peter Clark

TL;DR
This paper explores methods for generating aviation incident stories to understand the knowledge needed for incident comprehension, comparing earlier unsuccessful approaches with a simple, simulation-based generator inspired by TALE-SPIN.
Contribution
It introduces a basic incident generator using world simulation, highlighting the potential of story generation techniques for aviation incident analysis.
Findings
Earlier script and grammar-based methods were unsuccessful
A simple simulation approach was feasible at a toy level
The approach offers insights into incident understanding
Abstract
This working note discusses the topic of story generation, with a view to identifying the knowledge required to understand aviation incident narratives (which have structural similarities to stories), following the premise that to understand aviation incidents, one should at least be able to generate examples of them. We give a brief overview of aviation incidents and their relation to stories, and then describe two of our earlier attempts (using `scripts' and `story grammars') at incident generation which did not evolve promisingly. Following this, we describe a simple incident generator which did work (at a `toy' level), using a `world simulation' approach. This generator is based on Meehan's TALE-SPIN story generator (1977). We conclude with a critique of the approach.
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Taxonomy
TopicsNatural Language Processing Techniques · Topic Modeling · Artificial Intelligence in Games
