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].
Intelligence in Strategic Games
Authors: Pavel Naumov, Yuan Yuan
JAIR 2021 | Venue PDF | LLM Run Details
| Reproducibility Variable | Result | LLM Response |
|---|---|---|
| Research Type | Theoretical | First, it proposes a new class of know-how strategies that depend on the intelligence information about the opponents actions. Second, it shows that the coalition power modality for the proposed new class of strategies cannot be expressed through the standard know-how modality. Third, it gives a sound and complete logical system that describes the interplay between the coalition power modality with intelligence and the distributed knowledge modality in games with imperfect information. |
| Researcher Affiliation | Academia | Pavel Naumov EMAIL King s College, Wilkes-Barre, Pennsylvania, 18711 USA Yuan Yuan EMAIL Vassar College, Poughkeepsie, New York, 12604 USA |
| Pseudocode | No | The paper contains formal definitions, axioms, lemmas, and proofs for a logical system, but no structured pseudocode or algorithm blocks are present. |
| Open Source Code | No | The paper is theoretical, focusing on logical systems and proofs. It does not contain any statements about releasing code, nor does it provide links to source code repositories. |
| Open Datasets | No | The paper uses conceptual examples from strategic games (e.g., Battle of the Atlantic, a road situation, a security game in Table 1) to illustrate its theoretical concepts. It does not mention or provide access to any specific datasets used for empirical evaluation. |
| Dataset Splits | No | The paper does not present any empirical experiments involving datasets, and therefore, no dataset splits are mentioned. |
| Hardware Specification | No | The paper is theoretical and focuses on a logical system. It does not describe any experimental setup or mention specific hardware used for computations. |
| Software Dependencies | No | The paper is theoretical and presents a logical system. It does not describe any experimental setup that would require specific software dependencies with version numbers. |
| Experiment Setup | No | The paper is theoretical, presenting a new logical system and its properties. It does not describe any empirical experiments, hyperparameters, or training configurations. |