Abstract
When a decision support system relies on information coming from different sources to reason about different recommendations it may be desirable to compute, record, track and engineer the influence that each source has on the elements which form part of the reasoning process. Different sources of information may have varying levels of reliability and, consequently, decision makers may want to reduce the potential impact of inputs from less reliable sources. In this paper, we introduce an approach for managing variable-quality inputs to a human multi-agent decision support system by using computational argumentation and commitments to model the relationships between sources and the data they provide, in a context-sensitive way. The methodology is illustrated with a clinical case study.
| Original language | English |
|---|---|
| Number of pages | 4 |
| Publication status | Published - 15 Dec 2018 |
| Event | The International Workshop on Dialogue, Explanation and Argumentation in Human-Agent Interaction - Southampton, United Kingdom Duration: 15 Dec 2018 → 15 Dec 2018 https://sites.google.com/view/dexahai-18/home?authuser=0 |
Conference
| Conference | The International Workshop on Dialogue, Explanation and Argumentation in Human-Agent Interaction |
|---|---|
| Abbreviated title | DEXAHAI 2018 |
| Country/Territory | United Kingdom |
| City | Southampton |
| Period | 15/12/18 → 15/12/18 |
| Internet address |
Keywords / Materials (for Non-textual outputs)
- Computing methodologies
- Multi-agent systems
- Knowl- edge representation and reasoning
- Distributed artificial intelligence
- Human-centered computing
- Human computer interaction (HCI)
- Human Agent Interaction
- Multi-Agent Decision Support
- Compu- tational Argumentation
- Commitments