دانلود مقاله ISI انگلیسی شماره 52380
عنوان فارسی مقاله

روش هوش مصنوعی برای تولید و ارزیابی رفتار انسان مانند قابل باور در شخصیت های مجازی

کد مقاله سال انتشار مقاله انگلیسی ترجمه فارسی تعداد کلمات
52380 2014 10 صفحه PDF سفارش دهید 8340 کلمه
خرید مقاله
پس از پرداخت، فوراً می توانید مقاله را دانلود فرمایید.
عنوان انگلیسی
Artificial Intelligence approaches for the generation and assessment of believable human-like behaviour in virtual characters
منبع

Publisher : Elsevier - Science Direct (الزویر - ساینس دایرکت)

Journal : Expert Systems with Applications, Volume 41, Issue 16, 15 November 2014, Pages 7281–7290

کلمات کلیدی
آزمون تورینگ؛ رفتار انسان مانند ؛ باورپذیری؛ شخصیت های غیر بازیکن؛ معماری شناختی؛ الگوریتم ژنتیک؛ شبکه های عصبی مصنوعی
پیش نمایش مقاله
پیش نمایش مقاله روش هوش مصنوعی برای تولید و ارزیابی رفتار انسان مانند قابل باور در شخصیت های مجازی

چکیده انگلیسی

Having artificial agents to autonomously produce human-like behaviour is one of the most ambitious original goals of Artificial Intelligence (AI) and remains an open problem nowadays. The imitation game originally proposed by Turing constitute a very effective method to prove the indistinguishability of an artificial agent. The behaviour of an agent is said to be indistinguishable from that of a human when observers (the so-called judges in the Turing test) cannot tell apart humans and non-human agents. Different environments, testing protocols, scopes and problem domains can be established to develop limited versions or variants of the original Turing test. In this paper we use a specific version of the Turing test, based on the international BotPrize competition, built in a First-Person Shooter video game, where both human players and non-player characters interact in complex virtual environments. Based on our past experience both in the BotPrize competition and other robotics and computer game AI applications we have developed three new more advanced controllers for believable agents: two based on a combination of the CERA–CRANIUM and SOAR cognitive architectures and other based on ADANN, a system for the automatic evolution and adaptation of artificial neural networks. These two new agents have been put to the test jointly with CCBot3, the winner of BotPrize 2010 competition (Arrabales et al., 2012), and have showed a significant improvement in the humanness ratio. Additionally, we have confronted all these bots to both First-person believability assessment (BotPrize original judging protocol) and Third-person believability assessment, demonstrating that the active involvement of the judge has a great impact in the recognition of human-like behaviour.

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