Barrett, The Honors College Thesis/Creative Project Collection
Barrett, The Honors College at Arizona State University proudly showcases the work of undergraduate honors students by sharing this collection exclusively with the ASU community.
Barrett accepts high performing, academically engaged undergraduate students and works with them in collaboration with all of the other academic units at Arizona State University. All Barrett students complete a thesis or creative project which is an opportunity to explore an intellectual interest and produce an original piece of scholarly research. The thesis or creative project is supervised and defended in front of a faculty committee. Students are able to engage with professors who are nationally recognized in their fields and committed to working with honors students. Completing a Barrett thesis or creative project is an opportunity for undergraduate honors students to contribute to the ASU academic community in a meaningful way.
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Description
In this project, the use of deep neural networks for the process of selecting actions to execute within an environment to achieve a goal is explored. Scenarios like this are common in crafting based games such as Terraria or Minecraft. Goals in these environments have recursive sub-goal dependencies which form a dependency tree. An agent operating within these environments have access to low amounts of data about the environment before interacting with it, so it is crucial that this agent is able to effectively utilize a tree of dependencies and its environmental surroundings to make judgements about which sub-goals are most efficient to pursue at any point in time. A successful agent aims to minimizes cost when completing a given goal. A deep neural network in combination with Q-learning techniques was employed to act as the agent in this environment. This agent consistently performed better than agents using alternate models (models that used dependency tree heuristics or human-like approaches to make sub-goal oriented choices), with an average performance advantage of 33.86% (with a standard deviation of 14.69%) over the best alternate agent. This shows that machine learning techniques can be consistently employed to make goal-oriented choices within an environment with recursive sub-goal dependencies and low amounts of pre-known information.
ContributorsKoleber, Derek (Author) / Acuna, Ruben (Thesis director) / Bansal, Ajay (Committee member) / W.P. Carey School of Business (Contributor) / Software Engineering (Contributor) / Barrett, The Honors College (Contributor)
Created2018-05
Description
Pandora is a play exploring our relationship with gendered technology through the lens of artificial intelligence. Can women be subjective under patriarchy? Do robots who look like women have subjectivity? Hoping to create a better version of ourselves, The Engineer must navigate the loss of her creation, and Pandora must navigate their new world. The original premiere run was March 27-28, 2018, original cast: Caitlin Andelora, Rikki Tremblay, and Michael Tristano Jr.
ContributorsToye, Abigail Elizabeth (Author) / Linde, Jennifer (Thesis director) / Abele, Kelsey (Committee member) / Department of Information Systems (Contributor) / Economics Program in CLAS (Contributor) / Barrett, The Honors College (Contributor)
Created2018-05
Description
This thesis dives into the world of artificial intelligence by exploring the functionality of a single layer artificial neural network through a simple housing price classification example while simultaneously considering its impact from a data management perspective on both the software and hardware level. To begin this study, the universally accepted model of an artificial neuron is broken down into its key components and then analyzed for functionality by relating back to its biological counterpart. The role of a neuron is then described in the context of a neural network, with equal emphasis placed on how it individually undergoes training and then for an entire network. Using the technique of supervised learning, the neural network is trained with three main factors for housing price classification, including its total number of rooms, bathrooms, and square footage. Once trained with most of the generated data set, it is tested for accuracy by introducing the remainder of the data-set and observing how closely its computed output for each set of inputs compares to the target value. From a programming perspective, the artificial neuron is implemented in C so that it would be more closely tied to the operating system and therefore make the collected profiler data more precise during the program's execution. The program is designed to break down each stage of the neuron's training process into distinct functions. In addition to utilizing more functional code, the struct data type is used as the underlying data structure for this project to not only represent the neuron but for implementing the neuron's training and test data. Once fully trained, the neuron's test results are then graphed to visually depict how well the neuron learned from its sample training set. Finally, the profiler data is analyzed to describe how the program operated from a data management perspective on the software and hardware level.
ContributorsRichards, Nicholas Giovanni (Author) / Miller, Phillip (Thesis director) / Meuth, Ryan (Committee member) / Computer Science and Engineering Program (Contributor) / Barrett, The Honors College (Contributor)
Created2018-05
Description
Dressler Makes Things (DMT), as a thesis project, explores the viability of DMT as a monetized blog. DMT is a life improvement blog with a focus on cooking. Its blog niche sits between nostalgic, sensory food blogs and professional, actionable life improvement blogs. Because blogs that bridge this gap are rare, DMT aims to fill this need by making cooking easy, affordable, and attainable for anyone, but particularly females in their early twenties. This thesis explores marketing topics like brand, blog niche, unique value proposition, current viewers, and user personas, as well as information about the current blogging environment and an analysis of relevant competitors. It also develops marketing objectives for DMT, as well as positioning, conversion, referral, content promotion, and partnership strategies to reach these goals. Finally, it discusses distribution, pricing, and promotional tactics, as well as an operational plan and financial projections.
ContributorsParsons, Dressler Eileen (Author) / Gray, Nancy (Thesis director) / Bitter, Gary (Committee member) / School of Art (Contributor) / Department of Marketing (Contributor) / W. P. Carey School of Business (Contributor) / Barrett, The Honors College (Contributor)
Created2016-05
Description
The purpose of this thesis is to create an informational book on gluten-free living. It is our hope that by the end of the book readers will have a better understanding that living with a gluten intolerance or auto-immune disorder does not control one's life. Someone just needs to put in a bit more planning and time in order to travel or eat out. The book goes into detail on every condition on the gluten-sensitivity spectrum. It also goes in-depth on medicines, recipes, and travel.
ContributorsSnodgrass, Allison (Co-author) / Snodgrass, Amanda (Co-author) / Johnston, Carol (Thesis director) / Jacobs, Mark (Committee member) / Barrett, The Honors College (Contributor) / Chemical Engineering Program (Contributor)
Created2015-05
Description
Statistics are rising for adults who are overweight and/or obese, putting them at higher risk of developing serious health problems. Eating fewer portions of vegetable than the daily-recommended amounts contributes to this increase with. College students, being more susceptible to weight gain as they are transitioning from childhood to adulthood. Previous studies demonstrated that children ate more vegetables when repeatedly paired with a low-fat dip compared to when served plain. The current study examined whether this effect was also successful in college-aged subjects. A total of 148 (55 males, 91 females) college-aged students from an introductory psychology class at Arizona State University (Tempe, AZ) participated in the study. Subjects were randomly assigned to receive cauliflower or broccoli (raw) either served plain or with low-fat ranch dressing. Subjects showed a greater preference for and consumption of the vegetable plain that was previously given with dip than without dip. These findings suggest that serving vegetables with low-fat ranch dip two times can increase the liking and consumption of vegetables in college students.
ContributorsKim, Sophia L. (Author) / Phillips, Elizabeth Capaldi (Thesis director) / Bajaj, Devina (Committee member) / Cohen, Adam (Committee member) / Barrett, The Honors College (Contributor) / Harrington Bioengineering Program (Contributor)
Created2015-05
Description
How are perceptions of morality and disgust regarding meat consumption related to each other? Which factor is more salient in determining one's willingness to eat the meat of a specific animal? How do these answers vary across religious groups? This study investigates the ways that concepts like morality and disgust are related to food preferences and hopes to shed light on the mechanisms that enforce culturally sanctioned food taboos. The study compares 4 groups of people in the U.S.: Christians (n = 39), Hindus (n = 29), Jews (n = 23), and non-religious people (n = 63). A total of 154 participants were given surveys in which they rated their feelings about eating various animals. Data from Christian and non-religious groups exhibited similar patterns such as a high likelihood of eating a given animal when starving, while results from Jews and Hindus were consistent with their religion's respective food taboos. Despite these differences, morality and disgust are strongly correlated with one another in almost all instances. Moreover, morality and disgust are almost equally important considerations when determining willingness to eat when starving.
ContributorsParekh, Shaili Rajul (Author) / Hruschka, Daniel (Thesis director) / Jacobs, Mark (Committee member) / Barrett, The Honors College (Contributor) / School of Nutrition and Health Promotion (Contributor) / School of Human Evolution and Social Change (Contributor) / Hugh Downs School of Human Communication (Contributor)
Created2014-12
Description
This thesis will examine market research relating to consumer food trends and the business environment of Austin, Texas in order to evaluate the initial feasibility of establishing a small hydroponic produce farm. A main concern of this report is to provide a general overview of hydroponics and its potential advantages over traditional farming methods as a technique for producing food products for consumers in a local setting. To explore the potential of establishing such a venture, this report will also include a partial business plan focusing on the marketing strategy of initiating a hydroponic produce farm in Austin.
ContributorsShriver, John Andrew (Author) / Schmitz, Troy (Thesis director) / Manfredo, Mark (Committee member) / Barrett, The Honors College (Contributor) / Department of Information Systems (Contributor) / Department of Supply Chain Management (Contributor) / W. P. Carey School of Business (Contributor)
Created2015-05
Description
According to the United States Department of Agriculture, "food insecure homes" are households that are at times unable to acquire enough food to met the needs of their members. During the year 2010, this designation applied to roughly 14.5% of American households. In Arizona, the situation is even direr, with nearly 1 in 5 children falling into the range of food insecurity. These alarming statistics appear even graver in the light of the staggering amount of food that is wasted in America. In an attempt to combat both the problems of food insecurity and food waste, organizations have begun to focus their energy on "rescuing and repurposing food." In other words, these organization take prepared and perishable food from one location where it would go to waste, and redistribute it to places that it will be consumed, such as soup kitchens and shelters. The purpose of this thesis is to fully explore the successful workings of Waste Not, Inc. in Phoenix, AZ, and City Harvest in New York City, NY, and then make necessary critiques and draw implications for future food rescue programs.
ContributorsWright, Chase (Author) / Phillips, Rhonda (Thesis director) / Wharton, Christopher (Committee member) / Mitten, Dee (Committee member) / Barrett, The Honors College (Contributor)
Created2012-05
Description
The objective of this research is to determine an approach for automating the learning of the initial lexicon used in translating natural language sentences to their formal knowledge representations based on lambda-calculus expressions. Using a universal knowledge representation and its associated parser, this research attempts to use word alignment techniques to align natural language sentences to the linearized parses of their associated knowledge representations in order to learn the meanings of individual words. The work includes proposing and analyzing an approach that can be used to learn some of the initial lexicon.
ContributorsBaldwin, Amy Lynn (Author) / Baral, Chitta (Thesis director) / Vo, Nguyen (Committee member) / Industrial, Systems (Contributor) / Barrett, The Honors College (Contributor) / Computer Science and Engineering Program (Contributor)
Created2015-05