With games continuously and rapidly evolving to become more complex and sophisticated in their nature and implementation.\r\nThere is a fundamental need to sustain and deliver a similarly advanced, realistic, and engaging experience for the player. The\r\nimplementation of ââ?¬Å?emergenceââ?¬Â within games as providing an effective means to sustain this engagement in conjunction with\r\nsome form of action recognition mechanism for its support.More recently, games have made much of the ââ?¬Å?adaptiveââ?¬Â mechanisms\r\nthat tailor the player experience during the game, but much of this appears to be implemented by merely making the game harder\r\naccording to the success of the player. Some go further than this by incorporating adaptive AI that change agent tactics to suit the\r\nplayerââ?¬â?¢s style of play.Whilst these are clearly advances in the approach to providing a player-centric experience to engage the player,\r\nthe basis and transferability of these approaches is open to question. Here we propose a limited flavour of ââ?¬Å?emergenceââ?¬Â which can\r\nbe used to support an adaptive game mechanism and so present players with different gameplay experiences based on their actions\r\nwithin the game.
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