A Value-based Trust Assessment Model for Multi-agent Systems

Authors: Kinzang Chhogyal, Abhaya Nayak, Aditya Ghose, Hoa K. Dam

IJCAI 2019 | Conference PDF | Archive PDF | Plain Text | LLM Run Details

Reproducibility Variable Result LLM Response
Research Type Theoretical In this paper, based on the premise that the more values two agents share, the more they should trust one another, we propose a simple approach to trust assessment between agents based on values, taking into account if agents trust cautiously or boldly, and if they depend on others in carrying out a task.
Researcher Affiliation Academia Kinzang Chhogyal1 , Abhaya Nayak1 , Aditya Ghose2 and Hoa K. Dam2 1Macquarie University, Sydney, Australia 2University of Wollongong, Wollongong, Australia
Pseudocode No The paper provides mathematical definitions and propositions but does not contain structured pseudocode or algorithm blocks.
Open Source Code No The paper does not provide any statement or link indicating the availability of open-source code for the described methodology.
Open Datasets No The paper is theoretical and does not describe the use of any datasets for training or evaluation, nor does it provide access information for any dataset.
Dataset Splits No The paper is theoretical and does not describe any dataset splits for training, validation, or testing.
Hardware Specification No The paper is theoretical and does not describe any computational experiments or specify any hardware used.
Software Dependencies No The paper is theoretical and does not mention any software dependencies with version numbers.
Experiment Setup No The paper is theoretical and does not describe an experimental setup, hyperparameters, or system-level training settings.