ML Anthology

Interactive Learning and Analogical Chaining for Moral and Commonsense Reasoning

Joseph A. Blass
AAAI 2016 pp. 4289-4290
doi:10.1609/AAAI.V30I1.9817 /aaai/2016/blass2016aaai-interactive/

Abstract

Autonomous systems must consider the moral ramifications of their actions. Moral norms vary among people and depend on common sense, posing a challenge for encoding them explicitly in a system. I propose to develop a model of repeated analogical chaining and analogical reasoning to enable autonomous agents to interactively learn to apply common sense and model an individual’s moral norms.

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Text

Blass. "Interactive Learning and Analogical Chaining for Moral and Commonsense Reasoning." AAAI Conference on Artificial Intelligence, 2016. doi:10.1609/AAAI.V30I1.9817

Markdown

[Blass. "Interactive Learning and Analogical Chaining for Moral and Commonsense Reasoning." AAAI Conference on Artificial Intelligence, 2016.](https://mlanthology.org/aaai/2016/blass2016aaai-interactive/) doi:10.1609/AAAI.V30I1.9817

BibTeX

@inproceedings{blass2016aaai-interactive,
  title     = {{Interactive Learning and Analogical Chaining for Moral and Commonsense Reasoning}},
  author    = {Blass, Joseph A.},
  booktitle = {AAAI Conference on Artificial Intelligence},
  year      = {2016},
  pages     = {4289-4290},
  doi       = {10.1609/AAAI.V30I1.9817},
  url       = {https://mlanthology.org/aaai/2016/blass2016aaai-interactive/}
}