Jason Agents for Knowledge-aware Information Retrieval Filters

Zein, Dima El; Pereira, Célia da Costa

doi:10.5220/0010884900003116

Cited by 1 publication

(1 citation statement)

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“…The representation of the rules we have used to represent informative goals is inspired by the Jason's planning rules (Bordini et al, 2007). More precisely, we have used the extension of Jason rules we have recently proposed in Zein and da Costa Pereira (2022). The difference between the original Jason's rules and our rules is essentially due to the fact that the plan execution in Jason is reliant on the occurrence of the triggering event.…”

Section: Related Workmentioning

confidence: 99%

Usefulness of Information for Achieving Goals with Disjunctive Premises

da Costa Pereira,

Cholvy

2024

The Knowledge Engineering Review

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We propose a logic-based framework to model a system whose aim is to help provide the user with those pieces of information that are useful with respect to his/her current information need, as well as relevant to his/her query. More precisely, we propose three measures of information usefulness which take into account the fact that the user can be represented as a cognitive agent endowed with some beliefs—a partial “picture” about what it already knows—and goals—a certain state of affairs in which the agent would like to be. This paper extends a previous version of the framework by considering a more realistic hypothesis, according to which there are several ways to achieve goals. We present three different approaches: the binary approach, the ordinal approach, and the numerical approach. We take information retrieval (IR) as a particular application domain, and we compare some existing measures with the usefulness measure we introduce here.

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Section: Related Workmentioning

confidence: 99%