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ChatGPT and Other Large Language Models as Evolutionary Engines for Online Interactive Collaborative Game Design

Authors:

Pier Luca Lanzi,

Daniele LoiaconoAuthors Info & Claims

GECCO '23: Proceedings of the Genetic and Evolutionary Computation Conference

Pages 1383 - 1390

https://doi.org/10.1145/3583131.3590351

Published: 12 July 2023 Publication History

Abstract

Large language models (LLMs) have taken the scientific world by storm, changing the landscape of natural language processing and human-computer interaction. These powerful tools can answer complex questions and, surprisingly, perform challenging creative tasks (e.g., generate code and applications to solve problems, write stories, pieces of music, etc.). In this paper, we present a collaborative game design framework that combines interactive evolution and large language models to simulate the typical human design process. We use the former to exploit users' feedback for selecting the most promising ideas and large language models for a very complex creative task---the recombination and variation of ideas. In our framework, the process starts with a brief and a set of candidate designs, either generated using a language model or proposed by the users. Next, users collaborate on the design process by providing feedback to an interactive genetic algorithm that selects, recombines, and mutates the most promising designs. We evaluated our framework on three game design tasks with human designers who collaborated remotely.

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ChatGPT and Other Large Language Models as Evolutionary Engines for Online Interactive Collaborative Game Design

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cover image ACM Conferences

GECCO '23: Proceedings of the Genetic and Evolutionary Computation Conference

July 2023

1667 pages

ISBN:9798400701191

DOI:10.1145/3583131

Chair:
Sara Silva,
Program Chair:
Luís Paquete

Copyright © 2023 ACM.

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Published: 12 July 2023

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