Augmenting Artificial Intelligence Creativity: Event Segmentation and AI planning for Quest Generation
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The persistent rise in demand for content in the gaming industry means that programs with the ability to produce content autonomously will save an extraordinary amount of time and cost. In that context, this thesis proposes a novel architecture for procedural narrative generation and Implements it as software called Automatic Quest Planning Generator (AQPG). The architecture combines the computation of Event Segmentation Theory (EST) with Artificial Intelligence (AI) planning methods to automatically generate quests. The idea in this work is that since Event Segmentation generates actions and goals to facilitate planning in humans, a good representation of these types of events either in natural language text or other media should be able to automatically generate planning components for an AI planning system as well. Results from this work found that the AQPG system is capable of generating planning files that can be used for quest generation.
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Copyright © 2021 the author(s). Theses may be used for non-commercial research, educational, or related academic purposes only. Such uses include personal study, research, scholarship, and teaching. Theses may only be shared by linking to Carleton University Institutional Repository and no part may be used without proper attribution to the author. No part may be used for commercial purposes directly or indirectly via a for-profit platform; no adaptation or derivative works are permitted without consent from the copyright owner.
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- 2021
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