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 Coakley et alK. L. Coakley, T. Snelleman, H. Hoos, and O. E. Gundersen, "The embrace of open science: An analysis of a decade of AI research and 56 800 conference papers," Under Review, 2026..
Strategically knowing how
Authors: Raul Fervari, Andreas Herzig, Yanjun Li, Yanjing Wang
IJCAI 2017 | Venue PDF | LLM Run Details
| Reproducibility Variable | Result | LLM Response |
|---|---|---|
| Research Type | Theoretical | In this paper, we propose a single-agent logic of goal-directed knowing how extending the standard epistemic logic of knowing that with a new knowing how operator. ... We give an intuitive axiomatization of our logic and prove the soundness, completeness and decidability of the logic. |
| Researcher Affiliation | Academia | Raul Fervari University of Cordoba CONICET; Andreas Herzig University of Toulouse IRIT-CNRS; Yanjun Li University of Groningen; Yanjing Wang Peking University |
| Pseudocode | No | The paper focuses on theoretical logic, providing definitions, axioms, and proofs. It does not include any structured pseudocode or algorithm blocks. |
| Open Source Code | No | The paper is a theoretical work on logic and does not mention releasing any source code for the methodology described. |
| Open Datasets | No | This paper is theoretical and does not involve the use of datasets for training or evaluation, therefore no concrete access information for a publicly available or open dataset is provided. |
| Dataset Splits | No | This paper is theoretical and does not involve experiments with dataset splits, so no specific dataset split information is provided. |
| Hardware Specification | No | The paper is theoretical and does not describe computational experiments, therefore no specific hardware details for running experiments are provided. |
| Software Dependencies | No | The paper is theoretical and does not discuss software implementations or their dependencies with version numbers. |
| Experiment Setup | No | The paper is theoretical and focuses on logical formalisms and proofs. It does not include details about experimental setup, hyperparameters, or training configurations. |