@inproceedings{b13d9d5a3dc9401fae005369f312277e,
title = "Doubting What to Eat: A Computational Model for Food Choice Using Different Valuing Perspectives",
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.",
keywords = "Computational model, Desire, Food choice, Hebbian learning",
author = "Abro, {Altaf H.} and Jan Treur",
year = "2016",
doi = "10.1007/978-3-319-46681-1_20",
language = "English",
isbn = "978-3-319-46680-4",
volume = "9950 LNCS",
series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
publisher = "Springer",
pages = "164--174",
editor = "Akira Hirose and Seiichi Ozawa and Kenji Doya and Minho Lee and Derong Liu",
booktitle = "Neural Information Processing",
note = "23rd International Conference on Neural Information Processing, ICONIP 2016 ; Conference date: 16-10-2016 Through 21-10-2016",
}