Towards Diet Management with Automatic Reasoning and Persuasive Natural Language Generation

被引：3

作者：

Anselma, Luca ^{[1
]}

Mazzei, Alessandro ^{[1
]}

机构：

[1] Univ Turin, Dipartimento Informat, I-10149 Turin, Italy

来源：

PROGRESS IN ARTIFICIAL INTELLIGENCE-BK | 2015年 / 9273卷

关键词：

Diet management; Automatic reasoning; Natural language generation; TEMPORAL CONSTRAINTS; NUTRITION; COMPUTER; NETWORKS;

D O I：

10.1007/978-3-319-23485-4_8

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

We devise a scenario where the interaction between man and food is mediated by an intelligent system that, on the basis of various factors, encourages or discourages the user to eat a specific dish. The main factors that the system need to account for are (1) the diet that the user intends to follow, (2) the food that s/he has eaten in the last days, and (3) the nutritional values of the dishes and their specific recipes. Automatic reasoning and Natural Language Generation (NLG) play a fundamental role in this project: the compatibility of a food with a diet is formalized as a Simple Temporal Problem (STP), while the NLG tries to motivate the user. In this paper we describe these two facilities and their interface.

引用

页码：79 / 90

页数：12

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