Reasoning about Cognitive Trust in Stochastic Multiagent Systems

Authors: Xiaowei Huang, Marta Kwiatkowska

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

Reproducibility Variable Result LLM Response
Research Type Theoretical We study the complexity of the automated verification problem and, while the general problem is undecidable, we identify restrictions on the logic and the system that result in decidable, or even tractable, subproblems.
Researcher Affiliation Academia Xiaowei Huang, Marta Kwiatkowska Department of Computer Science University of Oxford
Pseudocode No The paper describes formal definitions and logic syntax but does not include any pseudocode or algorithm blocks.
Open Source Code No The paper does not provide any statement or link indicating that source code for the described methodology is publicly available.
Open Datasets No The paper presents a theoretical framework and does not involve empirical experiments with datasets.
Dataset Splits No The paper is theoretical and does not involve experimental validation with dataset splits.
Hardware Specification No The paper is theoretical and does not describe any hardware used for running experiments.
Software Dependencies No The paper describes a theoretical framework and does not specify software dependencies with version numbers for experimental reproducibility.
Experiment Setup No The paper describes a theoretical framework and does not provide details of an experimental setup, such as hyperparameters or training configurations.