Abstract
We present a decision-theoretic approach for sampling information sources in resource-constrained environments, where there is uncertainty regarding source trustworthiness. We exploit diversity among sources to stratify the population into homogeneous subgroups to both minimise redundant sampling and mitigate the effect of source collusion. We show through empirical evaluation that our model is as effective as existing truth discovery approaches with respect to accuracy, while significantly reducing sampling cost.
| Original language | English |
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| Title of host publication | AAMAS 2015 - Proceedings of the 2015 International Conference on Autonomous Agents and Multiagent Systems |
| Publisher | International Foundation for Autonomous Agents and Multiagent Systems (IFAAMAS) |
| Pages | 1807-1808 |
| Number of pages | 2 |
| Volume | 3 |
| ISBN (Electronic) | 9781450337717 |
| Publication status | Published - 2015 |
| Event | 14th International Conference on Autonomous Agents and Multiagent Systems, AAMAS 2015 - Istanbul, Turkey Duration: 4 May 2015 → 8 May 2015 |
Conference
| Conference | 14th International Conference on Autonomous Agents and Multiagent Systems, AAMAS 2015 |
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| Country/Territory | Turkey |
| City | Istanbul |
| Period | 4/05/15 → 8/05/15 |
Keywords
- Diversity
- Sampling
- Trust
- Truth discovery