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

arXiv: https://arxiv.org/abs/1905.13380 · HTML: https://mlsanity.com/paper/1905.13380/

## Key facts

- Cited by 4 papers in the map (data through 14 Oct 2026).
- First posted on arXiv 31 May 2019.

## Built on by (most cited first, 4 of 4)

- [A computational framework for human values](https://mlsanity.com/paper/2305.02748/) (2023)
- [Your Co-Workers Matter: Evaluating Collaborative Capabilities of Language Models in Blocks World](https://mlsanity.com/paper/2404.00246/) (2024)
- [More Similar Values, More Trust? -- the Effect of Value Similarity on Trust in Human-Agent Interaction](https://mlsanity.com/paper/2105.09222/) (2021)
- [Human Values in Multiagent Systems](https://mlsanity.com/paper/2305.02739/) (2023)

## Abstract (arXiv)

An agent's assessment of its trust in another agent is commonly taken to be a measure of the reliability/predictability of the latter's actions. It is based on the trustor's past observations of the behaviour of the trustee and requires no knowledge of the inner-workings of the trustee. However, in situations that are new or unfamiliar, past observations are of little help in assessing trust. In such cases, knowledge about the trustee can help. A particular type of knowledge is that of values - things that are important to the trustor and the trustee. 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.