About: MobileBG   Sponge Permalink

An Entity of Type : dbkwik:resource/ZwE4O3utshWv1Qc47xdU6Q==, within Data Space : 134.155.108.49:8890 associated with source dataset(s)

MobileBG is a free backgammon game for J2ME-capable mobile devices. It is free software licensed under the GNU General Public License. It features three difficulty levels, a tutor mode, automatic saving and restoring of games and matches, and cumulative statistics for wins and losses. It is based on artificial neural network technology. Currently it plays at a advanced level in most positions, but makes measurable or even serious errors in other positions. An overhaul of the AI is planned to resolve these issues.

AttributesValues
rdf:type
rdfs:label
  • MobileBG
rdfs:comment
  • MobileBG is a free backgammon game for J2ME-capable mobile devices. It is free software licensed under the GNU General Public License. It features three difficulty levels, a tutor mode, automatic saving and restoring of games and matches, and cumulative statistics for wins and losses. It is based on artificial neural network technology. Currently it plays at a advanced level in most positions, but makes measurable or even serious errors in other positions. An overhaul of the AI is planned to resolve these issues.
latest preview date
  • 2006-10-17(xsd:date)
dcterms:subject
foaf:homepage
dbkwik:opensource/...iPageUsesTemplate
Platform
  • J2ME
Name
  • MobileBG
Genre
  • Board games
latest release version
  • 0(xsd:double)
Languages
  • English
Caption
  • Backgammon player and tutor
dbkwik:open-source...iPageUsesTemplate
License
  • GNU GPL
latest release date
  • 2006-10-13(xsd:date)
latest preview version
  • 0(xsd:double)
maintainer
  • Chris Roddy
Screenshot
  • 100(xsd:integer)
Website
abstract
  • MobileBG is a free backgammon game for J2ME-capable mobile devices. It is free software licensed under the GNU General Public License. It features three difficulty levels, a tutor mode, automatic saving and restoring of games and matches, and cumulative statistics for wins and losses. It is based on artificial neural network technology. Currently it plays at a advanced level in most positions, but makes measurable or even serious errors in other positions. An overhaul of the AI is planned to resolve these issues.
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