Please use this identifier to cite or link to this item:
https://www.um.edu.mt/library/oar/handle/123456789/30983
Title: | Personas versus clones for player decision modelling |
Authors: | Holmgard, Christoffer Liapis, Antonios Togelius, Julian Yannakakis, Georgios N. |
Keywords: | Computer games -- Design Evolutionary computation Artificial intelligence |
Issue Date: | 2014 |
Publisher: | IEEE |
Citation: | Holmgrad, C., Liapis, A., Togelius, J., & Yannakakis, G. N. (2014). Personas versus clones for player decision modelling. Proceedings of the International Conference on Entertainment Computing, Sydney. 159-166. |
Abstract: | The current paper investigates how to model human play styles. Building on decision and persona theory we evolve game playing agents representing human decision making styles. Two methods are developed, applied, and compared: procedural personas, based on utilities designed with expert knowledge, and clones, trained to reproduce play traces. Additionally, two metrics for comparing agent and human decision making styles are proposed and compared. Results indicate that personas evolved from designer intuitions can capture human decision making styles equally well as clones evolved from human play traces. |
URI: | https://www.um.edu.mt/library/oar//handle/123456789/30983 |
Appears in Collections: | Scholarly Works - InsDG |
Files in This Item:
File | Description | Size | Format | |
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Personas_versus_clones_for_player_decision_modelling_2014.pdf | 185.16 kB | Adobe PDF | View/Open |
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