Matching Items (254)
Filtering by
- All Subjects: sports
- Creators: Barrett, The Honors College
- Status: Published
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
The National Basketball Association (NBA) is one of the Big Four Sporting Leagues of US Professional Sports. In recent years, the NBA has enjoyed milestone seasons in both attendance and television ratings, resulting in steady increases to both, over the previous decade. (Morgan, 2017) This surge can be attributed in part to the integration of "cultural recognition" initiatives and the overall message of inclusivity on the part of NBA franchises, with their respective promotions and advertisements such as television, social media, radio, etc. Heritage Nights, such as "Noche Latina," among other variants in the NBA, typically feature culturally influenced changes to team logos, giveaways, and other consumer offerings. In markets where Hispanics make up a significant percentage of the fan-base, such as Phoenix, NBA franchises such as the Phoenix Suns must ascertain the financial or perceptual impacts, associated with risks of stereotyping, offending or otherwise unintentionally alienating different categories of fans. To this end, data was collected from the local NBA franchises' fanbase, specifically Phoenix Suns season-ticket holders, and was statistically checked for significant relationships between both categories of fans and several different variables. This analysis found that only $192K in revenue is being missed through the investment of Heritage Nights, and that fan perceptions of stereotypical or offensive giveaways and practices have no significant effect on game or event attendance, despite the stereotypes toward giveaways and practices still being present. Implications of this study provide possible next steps for the Suns and continue to widen the scope of demographical sports marketing both in professional basketball and beyond.
ContributorsGibbens, Patrick Alexander (Author) / Eaton, John (Thesis director) / McIntosh, Daniel (Committee member) / Department of Supply Chain Management (Contributor) / School of Music (Contributor) / Department of Marketing (Contributor) / W.P. Carey School of Business (Contributor) / Barrett, The Honors College (Contributor)
Created2018-05
Description
This paper is intended to identify a correlation between the winning percentage of sports teams in the four major professional sports leagues in the United States and the GDP per capita of their respective cities. We initially compiled fifteen years of franchise performance along with economic data from the Federal Reserve Bank of St. Louis to analyze this relationship. After converting the data into a language recognized by Stata, the regression tool we used, we ran multiple regressions to find relevant correlations based off of our inputs. This paper will show the value of the economic impact of strong or weak performance throughout various economic cycles through data analysis and conclusions drawn from the results of the regression analysis.
ContributorsAndl, Tyler (Co-author) / Shirk, Brandon (Co-author) / Goegan, Brian (Thesis director) / Eaton, John (Committee member) / School of Accountancy (Contributor) / Department of Finance (Contributor) / Department of Supply Chain Management (Contributor) / Department of Information Systems (Contributor) / Barrett, The Honors College (Contributor)
Created2017-12
Description
The ability to draft and develop productive Major League players is vital to the success of any MLB organization. A core of cost-controlled, productive players is as important as ever with free agent salaries continuing to rise dramatically. In a sport where mere percentage points separate winners from losers at the end of a long season, any slight advantage in identifying talent is valuable. This study examines the 2004-2008 MLB Amateur Drafts in order to analyze whether certain types of prospects are more valuable selections than others. If organizations can better identify which draft prospects will more likely contribute at the Major League level in the future, they can more optimally spend their allotted signing bonus pool in order to acquire as much potential production as possible through the draft. Based on the data examined, during these five drafts high school prospects provided higher value than college prospects. While college players reached the Majors at a higher rate, high school players produced greater value in their first six seasons of service time. In the all-important first round of the draft, where signing bonuses are at their largest, college players proved the more valuable selection. When players were separated by position, position players held greater expected value than pitchers, with corner infielders leading the way as the position group with the highest expected value. College players were found to provide better value than high school players at defensively demanding positions such as catcher and middle infield, while high school players were more valuable among outfielders and pitchers.
ContributorsGildea, Adam Joseph (Author) / Eaton, John (Thesis director) / McIntosh, Daniel (Committee member) / Department of Economics (Contributor) / W. P. Carey School of Business (Contributor) / Barrett, The Honors College (Contributor)
Created2016-05
Description
Abstract My documentary is about the concussion detection study with Arizona State Football, Translational Genomics Research Institute (TGen), Riddell and the Barrow Neurological Institute. Football players voluntarily participate in the study that aims to identify a biomarker released from the brain to identify if a player has suffered from a concussion. The study uses blood, urine and saliva samples, along with head impact data from Riddell's Sideline Response System. The study is also focusing on the impact of sub-concussive hits and the effects. According to the Barrow Neurological Institute, 84% of respondents believe concussions are "a serious medical condition," and a third of Valley parents will not let their children play football. I interviewed an ASU football player who participated in the study and found out about his experiences with concussions. The severity of concussions has received a lot of attention in recent years, and this study hopes to mitigate concussions symptoms and the fear of concussions. According to the 2015 NFL Health and Safety Report, since 2012 the NFL reported concussions were down by 35%. I interviewed the TGen leaders of the study and the neurologist at the Barrow Concussion and Brain Injury center involved in the study to find out how they plan to find a biomarker and use it to develop an objective way to diagnose concussions. An example of a possible objective test is a mouthguard that changes from clear to blue after a player sustained a hit that resulted in a concussion. The 2015-2016 ASU football season marked the study's third year of research. At the time of my documentary, the study had no timeline to release data.
ContributorsSeki, Katryna Marie (Author) / Lodato, Mark (Thesis director) / Kurland, Brett (Committee member) / Walter Cronkite School of Journalism and Mass Communication (Contributor) / School of Politics and Global Studies (Contributor) / Barrett, The Honors College (Contributor)
Created2016-05
Description
Each year, a select few minor league baseball players are chosen to attend the Arizona Fall League, a development league within Major League Baseball that hones the next generation of players, coaches, managers, and even umpires. These players make up the top talent currently in the minor leagues from each of Major League Baseball's 30 organizations. Of the thousands in the minors, just seven players from each organization can go to this extra six-week season, and learn to play alongside the best future talent the sport has to offer. On Deck: Inside the Arizona Fall League is a short documentary that looks at some of these players, as they continue their baseball journey that they hope leads them one day to the Majors. The documentary can be viewed online at https://youtu.be/jkggYiDtn14 or nicolesheraefox.com
ContributorsFox, Nicole Sherae (Author) / Lodato, Mark (Thesis director) / Kurland, Brett (Committee member) / Walter Cronkite School of Journalism and Mass Communication (Contributor) / Barrett, The Honors College (Contributor)
Created2016-05
Description
This project, which consists of a review article and an applied creative project, proposes mirror neurons as being a physiological mechanism for motor imagery. The review article highlights similarities between motor imagery research and research on mirror neurons. The research is roughly divided into three types of studies: neuroimaging studies, transcranial magnetic stimulation (TMS) and electromyography (EMG) studies, and electroencephalography (EEG) studies. The review also discusses the associative hypothesis of mirror neuron origin as support for the hypothesis and concludes with an assessment of conflicting research and the limitations of the hypothesis. The applied creative project is an instructional brochure, aimed at anyone who teaches motor skills, such as dance teachers or sports coaches. The brochure takes the academic content of the review and presents it in a visually pleasing, reader-friendly fashion in an effort to educate the intended audience and make the research more accessible. The brochure also prescribes research-based suggestions for how to use motor imagery during teaching sessions and how to get the best benefits from it.
ContributorsNgai, Valerie Christina (Author) / Hoffner, Kristin (Thesis director) / Glenberg, Arthur (Committee member) / Barrett, The Honors College (Contributor) / School of Nutrition and Health Promotion (Contributor) / Department of Psychology (Contributor)
Created2015-05
Description
The Roller Derby Club at Arizona State University became a student organization in the fall of 2013. They became a practicing team known as the Derby Devils in the spring of 2014. This project documents the creation and development a collegiate roller derby team as they go from a student organization to an athletic team. Collegiate roller derby is still in its infant stages and therefore the purpose of this project is to provide a guide for future collegiate roller derby teams as well as other athletic teams.
ContributorsLee, Alisa Yulim (Author) / Looser, Devoney (Thesis director) / Hultsman, Wendy (Committee member) / Barrett, The Honors College (Contributor) / School of International Letters and Cultures (Contributor) / Department of Chemistry and Biochemistry (Contributor) / W. P. Carey School of Business (Contributor)
Created2014-12