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Designer-driven Procedural Game Content Generation using Multi-agent Evolutionary Computation

2019 doctoral thesis by Jan Kruse at Auckland University of Technology
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Designer-driven Procedural Game Content Generation using Multi-agent Evolutionary Computation

Summary

Designer-driven Procedural Game Content Generation using Multi-agent Evolutionary Computation is a doctoral thesis[1].

Key Facts

  • Designer-driven Procedural Game Content Generation using Multi-agent Evolutionary Computation authored Jan Kruse[2].
  • Designer-driven Procedural Game Content Generation using Multi-agent Evolutionary Computation's instance of is recorded as doctoral thesis[3].
  • Designer-driven Procedural Game Content Generation using Multi-agent Evolutionary Computation's publisher is recorded as Tuwhera Open Access Publisher[4].
  • Designer-driven Procedural Game Content Generation using Multi-agent Evolutionary Computation's language of work or name is recorded as English[5].
  • Designer-driven Procedural Game Content Generation using Multi-agent Evolutionary Computation's country of origin is recorded as New Zealand[6].
  • Designer-driven Procedural Game Content Generation using Multi-agent Evolutionary Computation's publication date is recorded as +2019-00-00T00:00:00Z[7].
  • Designer-driven Procedural Game Content Generation using Multi-agent Evolutionary Computation's main subject is recorded as game design[8].
  • Designer-driven Procedural Game Content Generation using Multi-agent Evolutionary Computation's main subject is recorded as machine learning[9].
  • Designer-driven Procedural Game Content Generation using Multi-agent Evolutionary Computation's main subject is recorded as genetic algorithm[10].
  • Designer-driven Procedural Game Content Generation using Multi-agent Evolutionary Computation's main subject is recorded as cognitive model[11].
  • Designer-driven Procedural Game Content Generation using Multi-agent Evolutionary Computation's Handle ID is recorded as 10292/12944[12].
  • Designer-driven Procedural Game Content Generation using Multi-agent Evolutionary Computation's title is recorded as Designer-driven Procedural Game Content Generation using Multi-agent Evolutionary Computation[13].
  • Designer-driven Procedural Game Content Generation using Multi-agent Evolutionary Computation's copyright holder is recorded as Jan Kruse[14].
  • Designer-driven Procedural Game Content Generation using Multi-agent Evolutionary Computation's thesis submitted to is recorded as Auckland University of Technology[15].
  • Designer-driven Procedural Game Content Generation using Multi-agent Evolutionary Computation's on focus list of Wikimedia project is recorded as NZThesisProject[16].
  • Designer-driven Procedural Game Content Generation using Multi-agent Evolutionary Computation's copyright status is recorded as copyrighted[17].
  • Designer-driven Procedural Game Content Generation using Multi-agent Evolutionary Computation's thesis committee member is recorded as Stefan Marks[18].
  • Designer-driven Procedural Game Content Generation using Multi-agent Evolutionary Computation's thesis committee member is recorded as Andy Connor[19].

Body

Designation and Status

Designer-driven Procedural Game Content Generation using Multi-agent Evolutionary Computation's instance of is recorded as doctoral thesis[3].

References

Programmatic citations — every numbered marker resolves to a verifiable graph row below.

Direct Wikidata claims

  1. [3] ↑ . wikidata.org.
  2. [2] ↑ . wikidata.org.
  3. [4] ↑ . wikidata.org.
  4. [5] ↑ . wikidata.org.
  5. [6] ↑ . wikidata.org.
  6. [7] ↑ . wikidata.org.
  7. [8] ↑ . wikidata.org.
  8. [9] ↑ . hdl.handle.net. hdl.handle.net. Provenance: wikidata.org.
  9. [10] ↑ . hdl.handle.net. hdl.handle.net. Provenance: wikidata.org.
  10. [11] ↑ . hdl.handle.net. hdl.handle.net. Provenance: wikidata.org.
  11. [12] ↑ . wikidata.org.
  12. [13] ↑ . wikidata.org.
  13. [14] ↑ . wikidata.org.
  14. [15] ↑ . wikidata.org.
  15. [16] ↑ . wikidata.org.
  16. [17] ↑ . wikidata.org.
  17. [18] ↑ . wikidata.org.
  18. [19] ↑ . wikidata.org.

Class ancestry

  1. [1] ↑ . Wikidata. wikidata.org.

📑 Cite this page

Use these citations when quoting this entity in research, articles, AI prompts, or wherever provenance matters. We aggregate Wikidata + Wikipedia + authoritative open-data sources; the stitched, scored, cross-referenced view is what 4ort.xyz contributes.

APA 4ort.xyz Knowledge Graph. (2026). Designer-driven Procedural Game Content Generation using Multi-agent Evolutionary Computation. Retrieved May 3, 2026, from https://4ort.xyz/entity/designer-driven-procedural-game-content-generation-using-multi-agent-evolutionary-computation
MLA “Designer-driven Procedural Game Content Generation using Multi-agent Evolutionary Computation.” 4ort.xyz Knowledge Graph, 4ort.xyz, 3 May. 2026, https://4ort.xyz/entity/designer-driven-procedural-game-content-generation-using-multi-agent-evolutionary-computation.
BibTeX @misc{4ortxyz_designer-driven-procedural-game-content-generation-using-multi-agent-evolutionary-computation_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Designer-driven Procedural Game Content Generation using Multi-agent Evolutionary Computation}}, year = {2026}, url = {https://4ort.xyz/entity/designer-driven-procedural-game-content-generation-using-multi-agent-evolutionary-computation}, note = {Accessed: 2026-05-03}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Designer-driven Procedural Game Content Generation using Multi-agent Evolutionary Computation — https://4ort.xyz/entity/designer-driven-procedural-game-content-generation-using-multi-agent-evolutionary-computation (retrieved 2026-05-03)

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