Kinds and Aspects of Forgetting in Common-Sense Knowledge and Belief Management

Christoph Beierle, Tanja Bock, Gabriele Kern-Isberner, Marco Ragni, Kai Sauerwald

Publikation: Kapitel i bog/rapport/konference-proceedingKonferencebidrag i proceedingsForskningpeer review

Abstrakt

Knowledge representation and reasoning have a long tradition in the field of artificial intelligence. More recently, the aspect of forgetting, too, has gained increasing attention. Humans have developed extremely effective ways of forgetting e.g. outdated or currently irrelevant information, freeing them to process ever-increasing amounts of data. The purpose of this paper is to present abstract formalizations of forgetting operations in a generic axiomatic style. By illustrating, elaborating, and identifying different kinds and aspects of forgetting from a common-sense perspective, our work may be used to further develop a general view on forgetting in AI and to initiate and enhance the interaction and exchange among research lines dealing with forgetting, both, but not limited to, in computer science and in cognitive psychology.

OriginalsprogEngelsk
TitelProceedings of the Joint German/Austrian Conference on Artificial Intelligence
RedaktørerF. Trollmann, A. Y. Turhan
ForlagSpringer
Publikationsdato30. aug. 2018
Sider366-373
ISBN (Trykt)978-3-030-00110-0
ISBN (Elektronisk)978-3-030-00111-7
DOI
StatusUdgivet - 30. aug. 2018
Udgivet eksterntJa
Begivenhed41st German Conference on AI - Berlin, Tyskland
Varighed: 24. sep. 201828. sep. 2018

Konference

Konference41st German Conference on AI
LandTyskland
ByBerlin
Periode24/09/201828/09/2018
NavnLecture Notes in Computer Science
Vol/bind11117
ISSN0302-9743

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