TEA-modeling: Testing effective algorithms for modeling
Date of Publication
2009
Document Type
Bachelor's Thesis
Degree Name
Bachelor of Science in Computer Science
Subject Categories
Computer Sciences
College
College of Computer Studies
Department/Unit
Computer Science
Thesis Adviser
Remedios de Dios Bulos
Defense Panel Member
Nelson Marcos
Rigan Ap-Apid
Abstract/Summary
This research aims to evaluate Machine Learning (Reinforcement Learning and Best-Response Learning Algorithm) and Data Mining algorithms (Classification, Association, and Neural Network) in terms of providing rationality and human believability in an agent. Rationality considers the time, cost and space used up in reaching the goal. It concerns mainly on making the agent the best player of the game. Human believability, on the other hand, considers how an agent manifests human-like behavior as it competes with a player or an agent. It concerns mainly on fooling human players into thinking the agent is also a fellow human. An existing snake game from a previous research shall be used as a test bed to deploy and evaluate the agents. The testing process for the rationality aspect of the agent will be based on a methodology previously researched by John C. Duchi and John E. Laird (2000), while the believability aspect will be based on a research by Christian Bauckhage, et al. (2007). In the said methodology, rationality is hugely based on win-and-loss of the agent while believability is hugely based on observation ratings on how human-like the agent is.
Abstract Format
html
Language
English
Format
Accession Number
TU19879
Shelf Location
Archives, The Learning Commons, 12F, Henry Sy Sr. Hall
Physical Description
1 v. (various foliations) : illustrations ; 28 cm. + one computer optical disc.
Keywords
Data Mining; Reinforcement learning; Intelligent control systems; Computer adaptive testing
Recommended Citation
Ang, J. S., Bagay, A. L., Baysa, J. T., & Po, B. G. (2009). TEA-modeling: Testing effective algorithms for modeling. Retrieved from https://animorepository.dlsu.edu.ph/etd_bachelors/10710
Embargo Period
1-25-2022