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2016 | OriginalPaper | Buchkapitel

Doubting What to Eat: A Computational Model for Food Choice Using Different Valuing Perspectives

verfasst von : Altaf H. Abro, Jan Treur

Erschienen in: Neural Information Processing

Verlag: Springer International Publishing

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Abstract

In this paper a computational model for the decision making process of food choices is presented that takes into account a number of aspects on which a decision can be based, for example, a temptation triggered by the food itself, a desire for food triggered by being hungry, valuing by the expected basic satisfaction feeling, and valuing by the expected goal satisfaction feeling.

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Metadaten
Titel
Doubting What to Eat: A Computational Model for Food Choice Using Different Valuing Perspectives
verfasst von
Altaf H. Abro
Jan Treur
Copyright-Jahr
2016
DOI
https://doi.org/10.1007/978-3-319-46681-1_20