The DOI matches its Crossref record; 2 of the 2 references it cites were found in a registry or an index.
Trust in multi-agent systems
Open accessAbstract
Trust is a fundamental concern in large-scale open distributed systems. It lies at the core of all interactions between the entities that have to operate in such uncertain and constantly changing environments. Given this complexity, these components, and the ensuing system, are increasingly being conceptualised, designed, and built using agent-based techniques and, to this end, this paper examines the specific role of trust in multi-agent systems. In particular, we survey the state of the art and provide an account of the main directions along which research efforts are being focused. In so doing, we critically evaluate the relative strengths and weaknesses of the main models that have been proposed and show how, fundamentally, they all seek to minimise the uncertainty in interactions. Finally, we outline the areas that require further research in order to develop a comprehensive treatment of trust in complex computational settings.
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Citations
Cites
The vision of autonomic computing
Kephart, J. O., & Chess, D. M. (2003) · Computer · doi:10.1109/mc.2003.1160055 · Cited by 6,572
A survey of trust in internet applications
Grandison, T., & Sloman, M. (2000) · IEEE Communications Surveys & Tutorials · doi:10.1109/comst.2000.5340804 · Cited by 1,157
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A survey of multi-agent organizational paradigms
HORLING, B., & LESSER, V. (2004) · The Knowledge Engineering Review · doi:10.1017/s0269888905000317 · Cited by 709
Blockchain characteristics and consensus in modern business processes
Viriyasitavat, W., & Hoonsopon, D. (2019) · Journal of Industrial Information Integration · doi:10.1016/j.jii.2018.07.004 · Cited by 440
Brain Meets Brawn: Why Grid and Agents Need Each Other
Foster, I. T., Jennings, N. R., & Kesselman, C. (2004) · Adaptive Agents and Multi-Agents Systems · doi:10.1109/aamas.2004.78 · Cited by 425
Self-citationAutonomous agents modelling other agents: A comprehensive survey and open problems
Albrecht, S. V., & Stone, P. (2018) · Artificial Intelligence · doi:10.1016/j.artint.2018.01.002 · Cited by 417
Metadata
- Authors
- RAMCHURN, S. D., HUYNH, D., & JENNINGS, N. R.
- Venue
- The Knowledge Engineering Review
- Publisher
- Maximum Academic Press
- Published
- 2004-03
- Volume
- 19
- Issue
- 1
- Pages
- 1-25
- ISSN
- 0269-8889 (ISSN-L)
- 1469-8005
- OpenAlex
- W1623588239
- Cited by
- 668
- References
- 2
- FWCI
- 138.04
- Type
- journal article
- Language
- en
- Open access
- green
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
