Notice: The reproducibility variables underlying each score are classified using an automated LLM-based pipeline, validated against a manually labeled dataset. LLM-based classification introduces uncertainty and potential bias; scores should be interpreted as estimates. Full accuracy metrics and methodology are described in [1].
Present-Biased Optimization
Authors: Fedor V. Fomin, Pierre Fraigniaud, Petr A. Golovach5415-5422
AAAI 2021 | Venue PDF | LLM Run Details
| Reproducibility Variable | Result | LLM Response |
|---|---|---|
| Research Type | Theoretical | This paper explores the behavior of present-biased agents, that is, agents who erroneously anticipate the costs of future actions compared to their real costs. Specifically, the paper extends the original framework proposed by Akerlof (1991) for studying various aspects of human behavior related to time-inconsistent planning, including procrastination, and abandonment, as well as the elegant graph-theoretic model encapsulating this framework recently proposed by Kleinberg and Oren (2014). |
| Researcher Affiliation | Academia | Fedor V. Fomin,1 Pierre Fraigniaud, 2 Petr A. Golovach 1 1 Department of Informatics, University of Bergen, Norway 2 IRIF, Universit e de Paris and CNRS, France EMAIL, EMAIL, EMAIL |
| Pseudocode | No | The paper describes the agent's planning in textual form (e.g., 'Minimization scenario: For k 0, given an instance Ik, the agent computes the feasible solution Sk with minimum cost cβ(Sk)...'), but does not include formal pseudocode or algorithm blocks. |
| Open Source Code | No | The paper does not provide any statement or link regarding the release of open-source code for the described methodology. |
| Open Datasets | No | The paper is theoretical and does not describe experiments using datasets. |
| Dataset Splits | No | The paper is theoretical and does not conduct experiments that would require training, validation, or test dataset splits. |
| Hardware Specification | No | The paper is theoretical and does not report on experiments, so no hardware specifications are mentioned. |
| Software Dependencies | No | The paper is theoretical and does not conduct experiments, therefore no specific software dependencies with version numbers are mentioned. |
| Experiment Setup | No | The paper is theoretical and does not conduct experiments, so no experimental setup details are provided. |