Anonymous
Anonymous asked in 社會與文化語言 · 9 years ago

急! 中翻英! 簡單!

急! 不要機器翻譯! 最好的給20點! 翻譯以下內文! 謝謝!!

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現今電玩遊戲中,除了針對角色動作、劇情模擬、各種屬性元素等等的變化以外,還能套入不同的人工智慧及策略,這兩個方向主要是扮演著非玩家角色(Non-Player Character, NPC)的思考行為,而非玩家角色是無法由玩家所控制的,所以必須先行套入其能力。 遊戲市場上逐漸趨向於多元化的玩法,例如遊戲任務、遊戲副本等等,這些大部分都是由NPC去主導的,所以套入這些NPC的人工智慧和策略就是能顯現出遊戲的適玩度高低,若能讓玩家感覺到遊戲的挑戰性,且不會有重複感,則表示其遊戲是很成功的。 在本文中我們利用了基因規劃法(Genetic Programming, GP)運用在射擊遊戲(Raven)上,其中還添加了訊息傳遞、分散攻擊兩種策略。結果顯示基因規劃法雖然能有不錯的適應成績,但是在增加以上兩種策略後,能讓NPC可以有優越的續戰力,使得戰鬥功效能達到最佳狀態。

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3 Answers

Rating
  • 9 years ago
    Favorite Answer

    Today's video games, in addition to the role for the action, drama simulation, changes in various properties outside elements, etc., but also into different sets of artificial intelligence and strategy, which is mainly played in both directions of non-player characters (Non-Player Character, NPC) thinking behavior, rather than the player character can not be controlled by the player, it must first be set into its capabilities.

    Game on the market gradually moving to a wide range of play, such as game task, a copy of the game, etc., which are mostly dominated by the NPC to go, so the set of artificial intelligence into the NPC and the strategy is to show the relevance of the game play degree level, if the game allows players to feel the challenge, and do not have a sense of repetition, it means the game is very successful.

    In this paper we use Genetic Programming (Genetic Programming, GP) used in the shooting game (Raven), and which also add messaging, distributed attacks on two strategies. The results showed that although the genetic programming can have a good adaptation results, but after adding the above two strategies, allowing NPC to have superior strength in the fight, making the battle to achieve the best effect.

    就醬子喔!!!希望能幫你!!!!

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  • Nelson
    Lv 5
    9 years ago

    哇,英文老師piglet,你有一個分身耶!他把你的超爛翻譯全抄走了耶!你要不要申訴他?

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  • piglet
    Lv 6
    9 years ago

    Today's video games, in addition to the role for the action, drama simulation, changes in various properties outside elements, etc., but also into different sets of artificial intelligence and strategy, which is mainly played in both directions of non-player characters (Non-Player Character, NPC) thinking behavior, rather than the player character can not be controlled by the player, it must first be set into its capabilities.

    Game on the market gradually moving to a wide range of play, such as game task, a copy of the game, etc., which are mostly dominated by the NPC to go, so the set of artificial intelligence into the NPC and the strategy is to show the relevance of the game play Degree level, if the game allows players to feel the challenge, and do not have a sense of repetition, it means the game is very successful.

    In this paper we use Genetic Programming (Genetic Programming, GP) used in the shooting game (Raven), and which also add messaging, distributed attacks on two strategies. The results showed that although the genetic programming can have a good adaptation results, but after adding the above two strategies, allowing NPC to have superior strength in the fight, making the battle to achieve the best effect.

    2011-04-14 23:18:42 補充:

    英文老師

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