Multi-agent planning for interactive emergent narrative systems

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Creator: 

Breault, Vincent

Date: 

2015

Abstract: 

Generation of narrative is a domain that is mostly exclusive to human authors. Most current narrative generators use planning to adapt or follow a human authored story or guideline. This work proposes an engine for Creation Of Novel Adventure Narrative (CONAN). It uses a procedural approach to story generation that uses series of quests to make a rich player – NPC (non-player character) interaction from which a structured narrative can emerge. The engine is tested on its ability to create quests, which are sets of actions that must be performed in order to achieve a certain goal, usually for
a reward. Compared against human structural quest analysis, the current engine was found to be able to replicate the structure found in commercial video game quests.

Subject: 

Computer Science
Artificial Intelligence

Language: 

English

Publisher: 

Carleton University

Thesis Degree Name: 

Master of Cognitive Science: 
M.Cog.Sc

Thesis Degree Level: 

Master's

Thesis Degree Discipline: 

Cognitive Science

Parent Collection: 

Theses and Dissertations

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