Abstract
In argumentation theory, argument schemes are constructs to generalise common patterns of reasoning; whereas critical questions (CQs) capture the reasons why argument schemes might not generate arguments. Argument schemes together with CQs are widely used to instantiate arguments; however when it comes to making decisions, much less attention has been paid to the attacks among arguments. This paper provides a high-level description of the key elements necessary for the formalisation of argumentation frameworks such as argument schemes and CQs. Attack schemes are then introduced to represent attacks among arguments, which enable the definition of domain-specific attacks. One algorithm is articulated to operationalise the use of schemes to generatean argumentation framework, and another algorithm to support decision making by generating domain-specific explanations. Such algorithms can then be used by agents to make recommendations and to provide explanations for humans. The applicability of this approach is demonstrated within the context of a medical case study.
Original language | English |
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Title of host publication | Multi-Agent Systems and Agreement Technologies (EUMAS 2020) |
Publisher | Springer |
Number of pages | 18 |
ISBN (Electronic) | 978-3-030-66412-1 |
ISBN (Print) | 978-3-030-66411-4 |
DOIs | |
Publication status | Published - 5 Jan 2021 |
Event | 17th European Conference on Multi-Agent Systems - Virtual Conference Duration: 14 Sept 2020 → 15 Sept 2020 https://eumas2020.csd.auth.gr/eumas2020/ |
Publication series
Name | Lecture Notes in Computer Science |
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Publisher | Springer |
Volume | 12520 |
ISSN (Print) | 0302-9743 |
ISSN (Electronic) | 1611-3349 |
Conference
Conference | 17th European Conference on Multi-Agent Systems |
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Abbreviated title | EUMAS 2020 |
City | Virtual Conference |
Period | 14/09/20 → 15/09/20 |
Internet address |
Keywords / Materials (for Non-textual outputs)
- Computational argumentation
- Explainability
- Human-agent systems