A Goal-Based Model of Personality for Planning-Based Narrative Generation
Authors: Julio Bahamon, Camille Barot, R. Michael Young
AAAI 2015 | Conference PDF | Archive PDF | Plain Text | LLM Run Details
| Reproducibility Variable | Result | LLM Response |
|---|---|---|
| Research Type | Theoretical | We present an approach to incorporate interesting and compelling characters in planning-based narrative generation. The approach is based on a computational model that utilizes character actions to portray these as having distinct and well-deļ¬ned personalities. In this paper we present a computational model aimed at facilitating the inclusion of compelling characters in narratives that are automatically generated by a planning-based system. |
| Researcher Affiliation | Academia | Julio C esar Baham on, Camille Barot, and R. Michael Young North Carolina State University, Liquid Narrative Research Group Campus Box 8206, Raleigh NC 27695-8206, USA {jcbahamo, cbarot}@ncsu.edu, young@csc.ncsu.edu |
| Pseudocode | No | The paper describes the narrative generation mechanism in prose and through definitions but does not provide a formal pseudocode or algorithm block. |
| Open Source Code | No | The paper does not provide any information about open-source code availability. |
| Open Datasets | No | The paper is theoretical and does not describe the use of any publicly available or open dataset for training or evaluation. |
| Dataset Splits | No | The paper does not describe any experimental setup or dataset splits for training, validation, or testing. |
| Hardware Specification | No | The paper does not describe any experimental setup, and therefore does not provide hardware specifications. |
| Software Dependencies | No | The paper does not mention specific software dependencies with version numbers. |
| Experiment Setup | No | The paper does not describe an experimental setup, including hyperparameters or system-level training settings. |