Computer Learns Language By Playing Games 133
Frans Faase writes "By basing its strategies on the text of a manual, a computer infers the meanings of words without human supervision. The paper Learning to Win by Reading Manuals in a Monte-Carlo Framework (PDF) explains how a computer program succeeds in playing Civilization II using the official game manual as a strategy guide. This manual uses a large vocabulary of 3638 words, and is composed of 2083 sentences, each on average 16.9 words long. By this the program improves it success rate from 45% to 78% in playing the game. No prior knowledge of the language is used."
Re:Prior knowledge of the language is used (Score:2, Interesting)
Right, so because the journalist of the article picked the wrong screenshot, and because they likely told their software that whitespace seperates words, it must be bullshit.
Standard slashdot loser, trying so desperately to degrade the efforts of others to make himself feel better about his dead-end IT job.