ML Anthology

Domain Engineering to Represent Human Behavior Using Multi-Agent Planning and Inductive Methodologies

Salena Torres Ashton
AAAI 2024 pp. 23381-23382
doi:10.1609/AAAI.V38I21.30391 /aaai/2024/ashton2024aaai-domain/

Abstract

This research combines multi agent planning, the psycholinguistics of question asking, procedural grounded theory, and hierarchical task networks to represent domains for automated planning.

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Cite

Text

Ashton. "Domain Engineering to Represent Human Behavior Using Multi-Agent Planning and Inductive Methodologies." AAAI Conference on Artificial Intelligence, 2024. doi:10.1609/AAAI.V38I21.30391

Markdown

[Ashton. "Domain Engineering to Represent Human Behavior Using Multi-Agent Planning and Inductive Methodologies." AAAI Conference on Artificial Intelligence, 2024.](https://mlanthology.org/aaai/2024/ashton2024aaai-domain/) doi:10.1609/AAAI.V38I21.30391

BibTeX

@inproceedings{ashton2024aaai-domain,
  title     = {{Domain Engineering to Represent Human Behavior Using Multi-Agent Planning and Inductive Methodologies}},
  author    = {Ashton, Salena Torres},
  booktitle = {AAAI Conference on Artificial Intelligence},
  year      = {2024},
  pages     = {23381-23382},
  doi       = {10.1609/AAAI.V38I21.30391},
  url       = {https://mlanthology.org/aaai/2024/ashton2024aaai-domain/}
}