Usefulness of Information for Goal Achievement

Laurence Cholvy (1) , Célia da Costa Pereira (2)

1 DTIS, ONERA, Université de Toulouse [Toulouse]
2 Laboratoire I3S - SPARKS - Scalable and Pervasive softwARe and Knowledge Systems

This paper focuses on modelling information usefulness. More precisely, it aims at characterizing how useful a piece of information is for a cognitive agent which has some beliefs and goals. The paper presents three different approaches. We take Information Retrieval as a particular application domain and we compare some existing measures with the usefulness measure introduced in the paper.

Domaines: Intelligence artificielle [cs.AI]

Laurence Cholvy, Célia da Costa Pereira. Usefulness of Information for Goal Achievement. The 22nd International Conference on Principles and Practice of Multi-Agent Systems (PRIMA), Oct 2019, Turin, Italy. ⟨hal-02279935v2⟩