Comics have been used as a programming tool for agents, giving them instructions on how to act. In this thesis I do this in reverse, I use comics to describe the actions of agents already interacting with each other to create a storytelling engine that dynamically generate stories, based on the interaction of said agents. The model for the agent behaviours is based on the improvisational puppets model of Barbara Hayes-Roth. This model is chosen due to the nature of comics themselves. Comics like those found on newspapers and children magazines are funny because their characters behaviour depends heavily on emotions, which is why this model is well suited for this application. This project implements an emotion-based model for agent behaviour in a way that tells a story in the form of comic strips. For this, the model is adapted to a discrete time form since the actions no longer occur in real time (like in traditional simulation games) but rather in a sequence of frames or panels. The model is inspired by the analysis of time and space mechanics in comics by Scott McCloud. The emotional model is also adapted to reflect the rather extreme emotions and responses that characterize cartoon characters.
| Identifer | oai:union.ndltd.org:UPSALLA1/oai:DiVA.org:liu-12228 |
| Date | January 2008 |
| Creators | Porcel, Juan Carlos |
| Publisher | Linköpings universitet, Institutionen för datavetenskap, Institutionen för datavetenskap |
| Source Sets | DiVA Archive at Upsalla University |
| Language | English |
| Detected Language | English |
| Type | Student thesis, info:eu-repo/semantics/bachelorThesis, text |
| Format | application/pdf |
| Rights | info:eu-repo/semantics/openAccess |
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