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| Ç¥ÁعøÈ£ | TTAK.KO-10.1622 | ±¸Ç¥ÁعøÈ£ | |
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| Á¦°³Á¤ÀÏ | 2025-12-05 | ÃÑÆäÀÌÁö | 18 |
| ÇѱÛÇ¥Áظí | ¸ÞŸ¹ö½º ȯ°æ¿¡¼ ÀÇ»ç°áÁ¤ ÀÚµ¿È ±â¹Ý ÀýÂ÷Àû ÄÜÅÙÃ÷ »ý¼º Áöħ | ||
| ¿µ¹®Ç¥Áظí | Guidelines for Procedural Content Generation Based on Automated Decision-Making in Metaverse Environments | ||
| Çѱ۳»¿ë¿ä¾à | ÀÌ Ç¥ÁØÀº ¸ÞŸ¹ö½ºÀÇ Á¤ÀÇ¿Í ÁÖ¿ä ¿ä±¸»çÇ×, ÀýÂ÷Àû ÄÜÅÙÃ÷ »ý¼º(PCG) °³³ä, ±×¸®°í ÀÇ»ç°áÁ¤ ÀÚµ¿È ±â¼ú(¿¹: °ÈÇнÀ)ÀÇ ÀÌ·ÐÀû ±â¹ÝÀ» ¼³¸íÇϰí, ÀÌ ¼¼ ¿ä¼Ò°¡ ÅëÇÕµÈ ÄÜÅÙÃ÷ »ý¼º ¹æ½ÄÀÇ Á¤ÀÇ¿Í Çʿ伺À» ¼¼úÇÑ´Ù. ÀÌ¾î¼ ½Ã½ºÅÛ ±¸Çö¿¡ ÇÊ¿äÇÑ ÇÙ½É ¼³°è ¿ä¼ÒÀÎ »óÅÂ(state), Çൿ(action), º¸»ó(reward) ±¸Á¶ ¼³Á¤ ¹æ¹ý°ú ÄÜÅÙÃ÷ ¼³°è Àü·«À» Á¦½ÃÇÑ´Ù. ƯÈ÷, ÁöÇü, ±¸Á¶¹°, ¹Ì¼Ç Äù½ºÆ®, NPC Çൿ µî ¸ÞŸ¹ö½º¿¡¼ ÀÚÁÖ È°¿ëµÇ´Â ÄÜÅÙÃ÷ À¯Çü¿¡ ´ëÇØ, ÀÚµ¿È ±â¹ÝÀÇ ÄÜÅÙÃ÷ »ý¼º Á¢±Ù ¹æ½ÄÀ» ±¸Ã¼ÀûÀ¸·Î ¼³¸íÇÑ´Ù. ¶ÇÇÑ, Àüü »ý¼º È帧 (µ¥ÀÌÅÍ ¼öÁý, ȯ°æ ±¸¼º, ¿¡ÀÌÀüÆ® ÇнÀ, °á°ú Æò°¡ ¹× ¹Ýº¹ °³¼±)À» ´Ü°èº°·Î Á¤¸®Çϰí, »ý¼º ÄÜÅÙÃ÷ÀÇ Ç°Áú, ´Ù¾ç¼º, Ȱ¿ë¼º È®º¸ ¹æ¾Èµµ Æ÷ÇÔÇÑ´Ù. À̸¦ ÅëÇØ º» Ç¥ÁØÀº ¸ÞŸ¹ö½º Ç÷§Æû °³¹ßÀÚ, ÄÜÅÙÃ÷ µðÀÚÀ̳Ê, ¿¬±¸ÀÚ µî ½Ç¹«ÀÚ°¡ ÀÇ»ç°áÁ¤ ÀÚµ¿È ±â¹Ý ÀýÂ÷Àû ÄÜÅÙÃ÷ »ý¼º ±â¹ýÀ» ¸íÈ®È÷ ÀÌÇØÇÏ°í ½Ç¿ëÀûÀ¸·Î Àû¿ëÇÒ ¼ö ÀÖµµ·Ï ±â¼úÀû ±âÁذú ÁöħÀ» Á¦°øÇÑ´Ù. | ||
| ¿µ¹®³»¿ë¿ä¾à | This standard defines the concept and key requirements of the metaverse, explains the concept of procedural content generation (PCG), and outlines the theoretical foundations of decision-making automation technologies such as reinforcement learning. It describes the definition and necessity of a content generation approach that integrates these three elements. Furthermore, it presents methods for setting up core design elements essential for system implementation, including the structure of state, action, and reward, as well as content design strategies. In particular, it provides detailed explanations of automation-based content generation approaches for common types of metaverse content, such as terrain, structures, mission quests, and NPC behaviors. Additionally, it organizes the overall generation workflow into distinct stages, including data collection, environment setup, agent training, result evaluation, and iterative improvement, and includes strategies for ensuring the quality, diversity, and usability of the generated content. Through this, the standard offers technical guidelines and criteria that enable practitioners, including metaverse platform developers, content designers, and researchers, to clearly understand and practically apply decision-making automation-based procedural content generation techniques. | ||
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