Graphical Representation Enhances Human Compliance with Principles for Graded Argumentation Semantics

Srdjan Vesic, Bruno Yun, Predrag Teovanovic

Research output: Contribution to conferencePaperpeer-review

Abstract

We examined principles of graded argumentation semantics (independence, anonymity, void precedence, and maximality) to explore if (a) they realistically model human reasoning, (b) graphical representation of arguments facilitates compliance with the principles, (c) there is a positive correlation between compliance with di!erent principles, and (d) this compliance is related to cognitive re"ection, need for cognition and faith in intuition. Our results indicate that there are major di!erences in the compliance with the several argumentation principles studied in this paper. However, compliance with argumentation principles was consistently better and more consistent in the group presented with graphical representations. Moreover, cognitive re"ection correlated with compliance to some principles, but only in the graph group.
Original languageEnglish
Publication statusAccepted/In press - 19 Dec 2021
EventInternational Conference on Autonomous Agents and Multi-Agent Systems 2022 - Online
Duration: 9 May 202213 May 2022
https://aamas2022-conference.auckland.ac.nz/

Conference

ConferenceInternational Conference on Autonomous Agents and Multi-Agent Systems 2022
Abbreviated titleAAMAS 2022
Period9/05/2213/05/22
Internet address

Keywords

  • Argumentation
  • Human Reasoning
  • Principles
  • Graded semantics

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