Learning from Play: Facilitating character design through genetic programming and human mimicry

Swen Gaudl, Joseph Osborn, Joanna Bryson

Research output: Contribution to conferencePaperpeer-review

2 Citations (SciVal)
233 Downloads (Pure)


Mimicry and play are fundamental learning processes by which
individuals can acquire behaviours, skills and norms. In this paper we
utilise these two processes to create new game characters by
mimicking and learning from actual human players. We present our
approach towards aiding the design process of game characters through
the use of genetic programming. The current state of the art in game
character design relies heavily on human designers to manually create
and edit scripts and rules for game characters. Computational
creativity approaches this issue with fully autonomous character
generators, replacing most of the design process using black box
solutions such as neural networks. Our GP approach to this problem not only mimics actual human play but creates character controllers which can be further authored and developed by a designer.
This keeps the designer in the loop while reducing repetitive labour. Our system also provides insights into how players express themselves
in games and into deriving appropriate models for representing those insights. We present our framework and preliminary results supporting
our claim.
Original languageEnglish
Number of pages6
Publication statusPublished - 8 Sept 2015
Event17th Portuguese Conference on Artificial Intelligence (EPIA-2015) - University of Coimbra, Coimbra, Portugal
Duration: 8 Sept 201511 Sept 2015


Conference17th Portuguese Conference on Artificial Intelligence (EPIA-2015)


  • agent design
  • games
  • genetic programming
  • machine learning


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