Human Decision-Making under Limited Time
Authors: Pedro A. Ortega, Alan A. Stocker
NeurIPS 2016 | Conference PDF | Archive PDF | Plain Text | LLM Run Details
| Reproducibility Variable | Result | LLM Response |
|---|---|---|
| Research Type | Experimental | Here we experimentally tested the predictions made by a formalization of bounded rationality based on ideas from statistical mechanics and information-theory. We systematically tested human subjects in their ability to solve combinatorial puzzles under different time limitations. |
| Researcher Affiliation | Academia | Pedro A. Ortega Department of Psychology University of Pennsylvania Philadelphia, PA 19104 ope@seas.upenn.edu Alan A. Stocker Department of Psychology University of Pennsylvania Philadelphia, PA 19014 astocker@sas.upenn.edu |
| Pseudocode | No | The paper does not contain any pseudocode or clearly labeled algorithm blocks. |
| Open Source Code | No | The paper does not provide any concrete access to source code for the methodology described. |
| Open Datasets | No | The paper describes a custom experimental setup using self-created combinatorial puzzles and does not provide concrete access information for a publicly available or open dataset. |
| Dataset Splits | No | The paper mentions '90 training and 285 test trials' but does not specify a separate validation dataset split. |
| Hardware Specification | No | The paper does not provide specific hardware details (e.g., exact GPU/CPU models, processor types, or memory amounts) used for running its experiments. |
| Software Dependencies | No | The paper does not provide specific ancillary software details (e.g., library or solver names with version numbers) needed to replicate the experiment. |
| Experiment Setup | Yes | Training trials lasted 10s each, while test trials had durations of 1.25, 2.5, and 5s. For the learning rate ηt > 0, we choose a simple schedule that satisfied the Robbins-Monro conditions. |