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Similarity and Contrast on Conceptual Spaces for Pertinent Description Generation

  • Giovanni Sileno
  • , Isabelle Bloch
  • , Jamal Atif
  • , Jean Louis Dessalles
  • Université Paris-Saclay
  • Université Paris Dauphine

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

1 Citation (Scopus)

Abstract

Within the general objective of conceiving a cognitive architecture for image interpretation able to generate outputs relevant to several target user profiles, the paper elaborates on a set of operations that should be provided by a cognitive space to guarantee the generation of relevant descriptions. First, it attempts to define a working definition of contrast operation. Then, revisiting well-known results in cognitive studies, it sketches a definition of similarity based on contrast, distinguished from the metric defined on the conceptual space.

Original languageEnglish
Title of host publicationKI 2017
Subtitle of host publicationAdvances in Artificial Intelligence - 40th Annual German Conference on AI, Proceedings
EditorsJohannes Furnkranz, Matthias Thimm, Gabriele Kern-Isberner
PublisherSpringer Verlag
Pages262-275
Number of pages14
ISBN (Print)9783319671895
DOIs
Publication statusPublished - 1 Jan 2017
Externally publishedYes
Event40th Annual German Conference on Artificial Intelligence, KI 2017 - Dortmund, Germany
Duration: 25 Sept 201729 Sept 2017

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume10505 LNAI
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference40th Annual German Conference on Artificial Intelligence, KI 2017
Country/TerritoryGermany
CityDortmund
Period25/09/1729/09/17

Keywords

  • Asymmetry
  • Conceptual spaces
  • Contrast
  • Description generation
  • Diagnosticity effect
  • Relevance
  • Similarity
  • Triangle inequality

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