A Cognitive Agent Model for Desire Regulation Applied to Food Desires

A.H. Abro; J. Treur

doi:10.1007/978-3-319-59294-7_20

A Cognitive Agent Model for Desire Regulation Applied to Food Desires

A.H. Abro
, J. Treur

Research output: Chapter in Book / Report / Conference proceeding › Conference contribution › Academic › peer-review

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Abstract

In this paper a neurologically inspired cognitive agent model for desire regulation is presented that describes the desire generation process and a number of desire regulation strategies. This work addresses antecedent-focused desire regulation strategies. These strategies include reinterpretation, attention deployment and situation modification. The model has been used to perform a number of simulation experiments concerning food desire and eating behaviour.

Original language	English
Title of host publication	Multi-Agent Systems and Agreement Technologies
Subtitle of host publication	14th European Conference, EUMAS 2016, and 4th International Conference, AT 2016, Valencia, Spain, December 15-16, 2016, Revised Selected Papers
Editors	Natalia Criado Pacheco, Carlos Carrascosa, Nardine Osman, Vicente Julián Inglada
Publisher	Springer
Pages	251-260
Number of pages	10
ISBN (Electronic)	9783319592947
ISBN (Print)	9783319592930
DOIs	https://doi.org/10.1007/978-3-319-59294-7_20
Publication status	Published - 2017

Publication series

Name	Lecture Notes in Artificial Intelligence
Publisher	Springer
Volume	10207

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10.1007/978-3-319-59294-7_20

A Cognitive Agent Model for Desire Regulation Applied to Food DesiresFinal published version, 1.26 MBLicence: Article 25fa Dutch Copyright Act

https://www.researchgate.net/publication/309910838_A_Cognitive_Agent_Model_for_Desire_Regulation_Applied_to_Food_Desires

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Abro, A. H., & Treur, J. (2017). A Cognitive Agent Model for Desire Regulation Applied to Food Desires. In N. Criado Pacheco, C. Carrascosa, N. Osman, & V. J. Inglada (Eds.), Multi-Agent Systems and Agreement Technologies: 14th European Conference, EUMAS 2016, and 4th International Conference, AT 2016, Valencia, Spain, December 15-16, 2016, Revised Selected Papers (pp. 251-260). (Lecture Notes in Artificial Intelligence; Vol. 10207). Springer. https://doi.org/10.1007/978-3-319-59294-7_20

Abro, A.H. ; Treur, J. / A Cognitive Agent Model for Desire Regulation Applied to Food Desires. Multi-Agent Systems and Agreement Technologies: 14th European Conference, EUMAS 2016, and 4th International Conference, AT 2016, Valencia, Spain, December 15-16, 2016, Revised Selected Papers. editor / Natalia Criado Pacheco ; Carlos Carrascosa ; Nardine Osman ; Vicente Julián Inglada. Springer, 2017. pp. 251-260 (Lecture Notes in Artificial Intelligence).

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title = "A Cognitive Agent Model for Desire Regulation Applied to Food Desires",

abstract = "In this paper a neurologically inspired cognitive agent model for desire regulation is presented that describes the desire generation process and a number of desire regulation strategies. This work addresses antecedent-focused desire regulation strategies. These strategies include reinterpretation, attention deployment and situation modification. The model has been used to perform a number of simulation experiments concerning food desire and eating behaviour.",

author = "A.H. Abro and J. Treur",

year = "2017",

doi = "10.1007/978-3-319-59294-7\_20",

language = "English",

isbn = "9783319592930",

series = "Lecture Notes in Artificial Intelligence",

publisher = "Springer",

pages = "251--260",

editor = "\{Criado Pacheco\}, Natalia and Carlos Carrascosa and Nardine Osman and Inglada, \{Vicente Juli{\'a}n\}",

booktitle = "Multi-Agent Systems and Agreement Technologies",

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Abro, AH & Treur, J 2017, A Cognitive Agent Model for Desire Regulation Applied to Food Desires. in N Criado Pacheco, C Carrascosa, N Osman & VJ Inglada (eds), Multi-Agent Systems and Agreement Technologies: 14th European Conference, EUMAS 2016, and 4th International Conference, AT 2016, Valencia, Spain, December 15-16, 2016, Revised Selected Papers. Lecture Notes in Artificial Intelligence, vol. 10207, Springer, pp. 251-260. https://doi.org/10.1007/978-3-319-59294-7_20

A Cognitive Agent Model for Desire Regulation Applied to Food Desires. / Abro, A.H.; Treur, J.
Multi-Agent Systems and Agreement Technologies: 14th European Conference, EUMAS 2016, and 4th International Conference, AT 2016, Valencia, Spain, December 15-16, 2016, Revised Selected Papers. ed. / Natalia Criado Pacheco; Carlos Carrascosa; Nardine Osman; Vicente Julián Inglada. Springer, 2017. p. 251-260 (Lecture Notes in Artificial Intelligence; Vol. 10207).

Research output: Chapter in Book / Report / Conference proceeding › Conference contribution › Academic › peer-review

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AU - Abro, A.H.

AU - Treur, J.

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AB - In this paper a neurologically inspired cognitive agent model for desire regulation is presented that describes the desire generation process and a number of desire regulation strategies. This work addresses antecedent-focused desire regulation strategies. These strategies include reinterpretation, attention deployment and situation modification. The model has been used to perform a number of simulation experiments concerning food desire and eating behaviour.

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DO - 10.1007/978-3-319-59294-7_20

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SN - 9783319592930

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BT - Multi-Agent Systems and Agreement Technologies

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Abro AH, Treur J. A Cognitive Agent Model for Desire Regulation Applied to Food Desires. In Criado Pacheco N, Carrascosa C, Osman N, Inglada VJ, editors, Multi-Agent Systems and Agreement Technologies: 14th European Conference, EUMAS 2016, and 4th International Conference, AT 2016, Valencia, Spain, December 15-16, 2016, Revised Selected Papers. Springer. 2017. p. 251-260. (Lecture Notes in Artificial Intelligence). Epub 2017 Jun 23. doi: 10.1007/978-3-319-59294-7_20

A Cognitive Agent Model for Desire Regulation Applied to Food Desires

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