The Choice Between Bad and Worse: A Cognitive Agent Model for Desire Regulation under Stress

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Abstract

Desire for food intake often arises to get rid of negative emotions. On the other hand, negative emotion like anxiety, also brings along psychological health issues. In such a situation it’s quite a feasible option to get rid of the worse before the bad. In this paper a cognitive agent model for food desire regulation is presented wherein Hebbian learning helps in breaking the bond between anxiety or stress and desire for food intake as a result. Simulation results of the model illustrate food desire and its regulation.
Original languageEnglish
Title of host publicationPRIMA 2019: Principles and Practice of Multi-Agent Systems
Subtitle of host publication22nd International Conference, Turin, Italy, October 28–31, 2019, Proceedings
EditorsMatteo Baldoni, Mehdi Dastani, Beishui Liao, Yuko Sakurai, Rym Zalila Wenkstern
PublisherSpringer
Pages496-504
Number of pages9
ISBN (Electronic)9783030337926
ISBN (Print)9783030337919
DOIs
Publication statusPublished - 2019
Event22nd International Conference on Principles and Practice of Multi-Agent Systems, PRIMA 2019 - Turin, Italy
Duration: 28 Oct 201931 Oct 2019

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume11873 LNAI
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference22nd International Conference on Principles and Practice of Multi-Agent Systems, PRIMA 2019
CountryItaly
CityTurin
Period28/10/1931/10/19

Keywords

  • Cognitive agent model
  • Desire regulation
  • Expressive suppression
  • Hebbian learning
  • Reappraisal

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