• Title/Summary/Keyword: GOAP

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Adaptive Strategy Planning Using Goal-oriented Learning (목적 지향적 학습을 이용한 적응적 전술 생성 시스템 설계)

  • Park, Jong-An;Hong, Chul-Eui;Kim, Won-Il
    • Journal of the Institute of Electronics Engineers of Korea CI
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    • v.48 no.5
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    • pp.42-48
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    • 2011
  • Agent acts for specification purpose, which is common element of CGF (Computer Generated Forces). When basic agent acts as planned, the advanced intelligence agent can do more than this. It can follow predefined actions along appointed script to achieve purpose or lay another plans when it is difficult to achieve. In other words, it can amend plan again or make new plan in order to achieve goals. When plan fails, agent amends oneself, possibly decreases target level to achieve easily. In doing so, the agent calculates a quantitative value for changing plans in realtime, and choose appropriate alternative plans when the threshold value reaches an limit. In this paper, we propose an military system in which the planned action can be modified according to the level of achievement and alternative plans can be generated accordingly.