Changes for page Arg2P

From version 26.1
edited by Roberta Calegari
on 13/03/2021 07:37
Change comment: There is no comment for this version
To version 20.1
edited by Andrea Omicini
on 12/03/2021 15:13
Change comment: Deleted image "Arg2P-logo.jpg"

Summary

Details

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Author
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1 -XWiki.RobertaCalegari
1 +XWiki.AndreaOmicini
Content
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1 -{{include document="MacroSheet"/}}
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3 -{{summary}}{{arg2p/}} is logic-based agreement framework enabling defeasible reasoning and agents’ conversation in AI applications so particularly suitable for reaching agents’ explainable intelligent behaviours.{{/summary}}
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5 -== {{arg2p/}} in a nutshell ==
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7 -The {{arg2p/}} argumentation engine is built on the top of {{tuprolog/}} ({{2p/}}) engine. {{arg2p/}} is a lightweight implementation of the ASPIC+-like system for structured argumentation.
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9 -In {{arg2p/}} arguments are produced from a set of defeasible rules, and attack relationships between arguments are captured by argumentation graphs. The arguments of such graphs are labelled by following a labelling semantics. This simple framework will suffice to illustrate our upcoming investigation into persuasive burdens within an argumentation setting.
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11 -In addition, we use defeasible rule schemata to account for deontic reasoning, towards doctrine reification, as presented in Riveret et al., 2019.
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13 -Moreover, the model has been extended following the burden of proof model presented in [[Calegari and Sartor, 2020>>Publications.BurdenofproofIclp2020]].
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15 -More information about the format of the knowledge base and rules can be found on the basic syntax.
1 +{{include document="MacroSheet"/}}
2 +{{arg2p/}} is an argumentation engine built on the top of {{tuprolog/}} ({{2p/}}) engine. {{arg2p/}} is a lightweight implementation of the ASPIC+-like system for structured argumentation.

Contacts

Roberta Calegari email  |  Giovanni Ciatto email  |  Andrea Omicini email  |  Giuseppe Pisano email  |  Giovanni Sartor email

Downloads

GitHub  |  Maven Central  |  NPM

Documentation

GitLab

Online tools

Playground

Sources

GitHub