Bounded rationality leads to optimal decision-making and learning under uncertainty: Satisficing, prospect theory, and comparative valuation breaking the speed-accuracy tradeoff

Tatsuji Takahashi, Kuratomo Oyo, Yu Kohno. Bounded rationality leads to optimal decision-making and learning under uncertainty: Satisficing, prospect theory, and comparative valuation breaking the speed-accuracy tradeoff. In Markus Knauff, Michael Pauen, Natalie Sebanz, Ipke Wachsmuth, editors, Proceedings of the 35th Annual Meeting of the Cognitive Science Society, CogSci 2013, Berlin, Germany, July 31 - August 3, 2013. cognitivesciencesociety.org, 2013. [doi]

@inproceedings{TakahashiOK13-1,
  title = {Bounded rationality leads to optimal decision-making and learning under uncertainty: Satisficing, prospect theory, and comparative valuation breaking the speed-accuracy tradeoff},
  author = {Tatsuji Takahashi and Kuratomo Oyo and Yu Kohno},
  year = {2013},
  url = {https://mindmodeling.org/cogsci2013/papers/0951/index.html},
  researchr = {https://researchr.org/publication/TakahashiOK13-1},
  cites = {0},
  citedby = {0},
  booktitle = {Proceedings of the 35th Annual Meeting of the Cognitive Science Society, CogSci 2013, Berlin, Germany, July 31 - August 3, 2013},
  editor = {Markus Knauff and Michael Pauen and Natalie Sebanz and Ipke Wachsmuth},
  publisher = {cognitivesciencesociety.org},
  isbn = {978-0-9768318-9-1},
}