Cookie Clicker
Thesis: M. Eng., Massachusetts Institute of Technology, Department of Electrical Engineering and Computer Science, 2018.
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Format: | Thesis |
Language: | eng |
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Massachusetts Institute of Technology
2018
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Online Access: | http://hdl.handle.net/1721.1/119555 |
_version_ | 1826214400526123008 |
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author | Xiao, Kai Yuanqing |
author2 | Erik D. Demaine. |
author_facet | Erik D. Demaine. Xiao, Kai Yuanqing |
author_sort | Xiao, Kai Yuanqing |
collection | MIT |
description | Thesis: M. Eng., Massachusetts Institute of Technology, Department of Electrical Engineering and Computer Science, 2018. |
first_indexed | 2024-09-23T16:04:50Z |
format | Thesis |
id | mit-1721.1/119555 |
institution | Massachusetts Institute of Technology |
language | eng |
last_indexed | 2024-09-23T16:04:50Z |
publishDate | 2018 |
publisher | Massachusetts Institute of Technology |
record_format | dspace |
spelling | mit-1721.1/1195552019-04-10T11:16:19Z Cookie Clicker Xiao, Kai Yuanqing Erik D. Demaine. Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science. Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science. Electrical Engineering and Computer Science. Thesis: M. Eng., Massachusetts Institute of Technology, Department of Electrical Engineering and Computer Science, 2018. This electronic version was submitted by the student author. The certified thesis is available in the Institute Archives and Special Collections. Cataloged from student-submitted PDF version of thesis. Includes bibliographical references (page 55). Cookie Clicker is a popular online incremental game where the goal of the game is to generate as many cookies as possible. In the game you start with an initial cookie generation rate, and you can use cookies as currency to purchase various items that increase your cookie generation rate. In this paper, we analyze strategies for playing Cookie Clicker optimally. While simple to state, the game gives rise to interesting analysis involving ideas from NPhardness, approximation algorithms, and dynamic programming. by Kai Yuanqing Xiao. M. Eng. 2018-12-11T20:39:57Z 2018-12-11T20:39:57Z 2018 2018 Thesis http://hdl.handle.net/1721.1/119555 1076274075 eng MIT theses are protected by copyright. They may be viewed, downloaded, or printed from this source but further reproduction or distribution in any format is prohibited without written permission. http://dspace.mit.edu/handle/1721.1/7582 55 pages application/pdf Massachusetts Institute of Technology |
spellingShingle | Electrical Engineering and Computer Science. Xiao, Kai Yuanqing Cookie Clicker |
title | Cookie Clicker |
title_full | Cookie Clicker |
title_fullStr | Cookie Clicker |
title_full_unstemmed | Cookie Clicker |
title_short | Cookie Clicker |
title_sort | cookie clicker |
topic | Electrical Engineering and Computer Science. |
url | http://hdl.handle.net/1721.1/119555 |
work_keys_str_mv | AT xiaokaiyuanqing cookieclicker |