The application and performance of a generic task routine decision making algorithm to recipe selection in meal planning

Authors

Michelle M. Cox, University of Texas-Pan American

Date of Award

8-2000

Document Type

Thesis

Degree Name

Master of Science (MS)

Department

Computer Science

First Advisor

Dr. Richard Fox

Second Advisor

Dr. Richard Fowler

Third Advisor

Dr. John Abraham

Abstract

A nutritional meal planning system was implemented to test the effectiveness of a previously developed routine decision making algorithm. The combinatorics involved in ordering recipes in all possible combinations to produce variability in a meal plan and provide sufficient nutrition is conceptually intensive. Meal planning involves selection of food to eat to fulfill a person's nutritional and personal preferences. This thesis demonstrates meal planning as a decision making problem and demonstrates the utility of the routine decision making algorithm by solving this problem. Generic Tasks, identified through artificial intelligence research, provides the basis for this algorithm. It uses user preferences and to select recipes from a database of possible recipes and generate meal plans for the user.

Comments

Copyright 2000 Michelle M. Cox.

https://www.proquest.com/dissertations-theses/application-performance-generic-task-routine/docview/304682106/se-2?accountid=7119

Granting Institution

University of Texas-Pan American