ATL Strategic Reasoning Meets Correlated Equilibrium

Authors: Xiaowei Huang, Ji Ruan

IJCAI 2017 | Conference PDF | Archive PDF | Plain Text | LLM Run Details

Reproducibility Variable Result LLM Response
Research Type Experimental We implement a prototype model checker for CE-based strategic reasoning (which also includes usual ATL strategic reasoning), and thus all the results in our running examples have been formally verified.
Researcher Affiliation Academia 1School of Computing and Digital Technology, Birmingham City University, United Kingdom 2Department of Computer Science, Auckland University of Technology, New Zealand {xiaowei.huang@bcu.ac.uk, jiruan@aut.ac.nz}
Pseudocode No The paper defines mathematical formulations and equations (e.g., for Correlated Equilibrium and optimization problems) but does not contain a structured pseudocode or algorithm block.
Open Source Code Yes We implemented the proposed framework into a prototype software model checker5. 5https://gitlab.com/xiaowei.huang/rationality.
Open Datasets No The paper analyzes "running examples" of a Google car accident scenario. It does not mention using or providing access to any publicly available or open datasets for its analysis or verification.
Dataset Splits No The paper does not specify any dataset splits (e.g., train/validation/test percentages or counts) or mention cross-validation methods. Its analysis is based on theoretical models and running examples rather than empirical dataset validation splits.
Hardware Specification No The paper does not provide any specific details about the hardware used for running the implemented model checker or verifying the examples.
Software Dependencies No The paper mentions "a linear constraint solver in Sci Py library" but does not specify its version number. It also mentions "reactive modules" as a language for describing systems, but this is not a specific software with a version for reproducibility.
Experiment Setup No The paper does not provide specific experimental setup details such as hyperparameter values, training configurations, or system-level settings. It focuses on the theoretical framework and its implementation, with examples being verified by the tool.