Changes for page Arg2P
From version 24.1
edited by Andrea Omicini
on 12/03/2021 22:13
on 12/03/2021 22:13
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To version 26.1
edited by Roberta Calegari
on 13/03/2021 07:37
on 13/03/2021 07:37
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Summary
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... ... @@ -1,13 +1,15 @@ 1 1 {{include document="MacroSheet"/}} 2 2 3 -{{summary}}{{arg2p/}} is a nargumentationenginebuilt onthetop of{{tuprolog/}}({{2p/}})engine.{{arg2p/}} is alightweightimplementation ofthe ASPIC+-likesystemforstructuredargumentation.{{/summary}}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}} 4 4 5 5 == {{arg2p/}} in a nutshell == 6 6 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. 8 + 7 7 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. 8 8 9 9 In addition, we use defeasible rule schemata to account for deontic reasoning, towards doctrine reification, as presented in Riveret et al., 2019. 10 10 11 -Moreover, the model has been extended following the burden of proof model presented in [[Calegari and Sartor, 2020>>Publications /BurdenofproofIclp2020]].13 +Moreover, the model has been extended following the burden of proof model presented in [[Calegari and Sartor, 2020>>Publications.BurdenofproofIclp2020]]. 12 12 13 13 More information about the format of the knowledge base and rules can be found on the basic syntax.