MAgtALO: an agent-based system for persuasive online interaction

Simon Wells, Chris Reed

    Research output: Chapter in Book/Report/Conference proceedingOther chapter contribution

    3 Citations (Scopus)

    Abstract

    This paper provides a concise introduction to the MAgtALO system. This prototype software environment provides a mechanism enabling users to engage in online debate using naturalistic dialogue underpinned by sound argumentation theory. MAgtALO is used to demonstrate how dialogue protocols can be applied to support flexible intuitive interaction within complex and contentious problem domains.
    Original languageEnglish
    Title of host publicationAISB 2008 Convention Communication, Interaction and Social Intelligence
    Subtitle of host publicationVolume 3: Proceedings of the AISB 2008 Symposium on Persuasive Technology
    PublisherSociety for the Study of Artificial Intelligence and Simulation of Behaviour
    Pages29-32
    Number of pages4
    Volume3
    ISBN (Print)1902956621, 9781902956626
    Publication statusPublished - 2008
    EventAISB 2008 Convention Communication, Interaction and Social Intelligence: Symposium on Persuasive Technology - Aberdeen, United Kingdom
    Duration: 1 Apr 20084 Apr 2008
    http://homepages.abdn.ac.uk/j.masthoff/pages/Persuasive/

    Conference

    ConferenceAISB 2008 Convention Communication, Interaction and Social Intelligence: Symposium on Persuasive Technology
    Abbreviated titleAISB 2008
    CountryUnited Kingdom
    CityAberdeen
    Period1/04/084/04/08
    Internet address

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    Keywords

    • Agent-based systems
    • Argumentation theory
    • Dialogue protocols
    • Intuitive interaction
    • Online interaction
    • Problem domain
    • Prototype software
    • Technology

    Cite this

    Wells, S., & Reed, C. (2008). MAgtALO: an agent-based system for persuasive online interaction. In AISB 2008 Convention Communication, Interaction and Social Intelligence: Volume 3: Proceedings of the AISB 2008 Symposium on Persuasive Technology (Vol. 3, pp. 29-32). Society for the Study of Artificial Intelligence and Simulation of Behaviour. http://www.aisb.org.uk/convention/aisb08/proc/