University of Edinburgh Featured PhD Programmes
University of Southampton Featured PhD Programmes
University of Bristol Featured PhD Programmes

Generative Narratives for Complex Systems

Department of Computer Science

This project is no longer listed on and may not be available.

Click here to search for PhD studentship opportunities
Prof S Stepney , Mr R Walsh Applications accepted all year round Self-Funded PhD Students Only

About the Project

Research areas: Complex systems; Unconventional computing

There is good evidence that people comprehend the world through narrative, through stories about the world, through the agents and their behaviours and relationships. There is also good evidence that complex systems cannot be so narrated: current forms of story structure do not deal convincingly with the agency-less emergent properties of many complex systems. Many of the big problems facing the world today are complex systems problems: the complex system of climate change, complex ecological systems suffering extinction; complex social systems resisting improvement, and more. If these complex systems problems cannot be convincingly narrated, this implies that we literally cannot comprehend the problems of the world.

The long term goal of our research programme is to develop narratives for complex systems, in order to better understand and approach complex systems problems.

We start with simpler narratives. Narrative (story-telling) has a grammar and semantics of its own. But what distinguishes a narrative from a series of declarative statements? How do we formally distinguish the series of statements “There is a hole. There is a corner. The hole is around the corner” from the story “I went round that corner yesterday. I fell into a hole. I was stuck there all day”? How does the underlying logic constrain a cognitive grasp of systemic relations?

Specific PhD research topic
The first goal of this specific PhD research is to develop a narrative grammar and semantics for inclusion in an existing robot “world understanding model”. The robot uses this internal model to run forward simulations of possible futures, in order to plan suitable actions in the world, and then updates its model based on the results of its actions. Once this model has been augmented to include narratives, the second goal is to run experiments with this system to determine precisely how the narrative component helps (or hinders!) the robot’s ability to navigate worlds of differing complexity, to analyse the narratives it develops about these worlds, and to evaluate how the narratives change with complexity.

Search Suggestions

Search Suggestions

Based on your current searches we recommend the following search filters.

FindAPhD. Copyright 2005-2020
All rights reserved.