Mоlimо vаs kоristitе оvај idеntifikаtоr zа citirаnjе ili оvај link dо оvе stаvkе:
https://open.uns.ac.rs/handle/123456789/15038
Nаziv: | Automatic categorization of human-coded and evolved core war warriors | Аutоri: | Tomašev N. Pracner, Doni Radovanović M. Ivanović, Mirjana |
Dаtum izdаvаnjа: | 1-дец-2007 | Čаsоpis: | Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) | Sažetak: | CoreWar is a computer simulation devised in the 1980s where programs loaded into a virtual memory array compete for control over the virtual machine. These programs are written in a special-purpose assembly language called Redcode and referred to as warriors. A great variety of environments and battle strategies have emerged over the years, leading to formation of different warrior types. This paper deals with the problem of automatic warrior categorization, presenting results of classification based on several approaches to warrior representation, and offering insight into ambiguities concerning the identification of strategic classes. Over 600 human-coded warriors were annotated, forming a training set for classification. Several major classifiers were used, SVMs proving to be the most reliable, reaching accuracy of 84%. Classification of an evolved warrior set using the trained classifiers was also conducted. The obtained results proved helpful in outlining the issues with both automatic and manual Redcode program categorization. © Springer-Verlag Berlin Heidelberg 2007. | URI: | https://open.uns.ac.rs/handle/123456789/15038 | ISBN: | 9783540749752 | ISSN: | 03029743 |
Nаlаzi sе u kоlеkciјаmа: | PMF Publikacije/Publications |
Prikаzаti cеlоkupаn zаpis stаvki
Prеglеd/i stаnicа
23
Prоtеklа nеdеljа
11
11
Prоtеkli mеsеc
0
0
prоvеrеnо 10.05.2024.
Google ScholarTM
Prоvеritе
Аlt mеtrikа
Stаvkе nа DSpace-u su zаštićеnе аutоrskim prаvimа, sа svim prаvimа zаdržаnim, оsim аkо nije drugačije naznačeno.