Learning in coaching: Using neural network to generate advice for Simsoccer coach
Date of Publication
2007
Document Type
Master's Thesis
Degree Name
Master of Science in Computer Science
College
College of Computer Studies
Department/Unit
Computer Science
Thesis Adviser
Remedios De dios Bulos
Defense Panel Chair
Leonor A. Ruivivar
Abstract/Summary
Robot Soccer is considered as a platform or a test bed for innovations in research areas such as Artificial Intelligence and Robotics. A recent addition to the RoboCup League is the competition for a special agent called the Coach. Based on the study of current soccer coach agents, learning algorithm is an important factor for the coach agent. Many classification methods and machine learning algorithms have been suggested in the literature to tackle this problem. In this paper, the neural network rule extraction technique was used to generate advice for Simsoccer Coach through analyzing three fixed opponents behaviors. Furthermore, learning performance of neural network algorithm was compared to C4.5.
Abstract Format
html
Language
English
Format
Electronic
Accession Number
CDTG004126
Shelf Location
Archives, The Learning Commons, 12F Henry Sy Sr. Hall
Physical Description
1 computer optical disc ; 4 3/4 in.
Keywords
Neural networks (Computer science)
Recommended Citation
Weiguo, Y. (2007). Learning in coaching: Using neural network to generate advice for Simsoccer coach. Retrieved from https://animorepository.dlsu.edu.ph/etd_masteral/3588
