Changes for page Arg2P

Summary

• Page properties (3 modified, 0 added, 0 removed)

Details

Page properties

Title

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1		-#if($xcontext.language=="it")Arg2P – Home#{else}Arg2P Home#end
	1	+Arg2P

Author

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1		-XWiki.AndreaOmicini
	1	+XWiki.RobertaCalegari

Content

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1		-{{velocity}}(((
2		-!!(% style="background-color:$theme.fieldGradientColor; border-style:hidden" %){{arg2p/}} (short for {{argtuprolog/}}) is a logic-based agreement framework enabling defeasible reasoning in intelligent systems
3		-))){{/velocity}}
4		->{{arg2p/}} in a nutshell
	1	+{{include document="MacroSheet"/}}
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6		-The {{arg2p/}} argumentation engine is built on the top of [[{{tuprolog/}}>>Tuprolog.WebHome||target=_blank]] ({{2p/}}) engine. {{arg2p/}} is a lightweight implementation of the ASPIC+-like system for structured argumentation.
	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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8		-{{arg2p/}} enables defeasible reasoning and argumentation, and deals with priorities over rules. It includes a formal method for dealing with burden of proof (//burden of persuasion//).
	5	+== {{arg2p/}} in a nutshell ==
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10		-More informations on the project are available on the {{arg2p/}} [[GitLab wiki>>https://pika-lab.gitlab.io/argumentation/arg2p-kt/]].
11		-{{include reference="Environment"/}}
	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.