Max Planck Institute for Biological Cybernetics, Tübingen, Germany.
Department of Brain and Cognitive Sciences, Massachusetts Institute of Technology, Cambridge, MA, USA.
Nat Hum Behav. 2023 Sep;7(9):1481-1489. doi: 10.1038/s41562-023-01661-2. Epub 2023 Jul 24.
Studies of human exploration frequently cast people as serendipitously stumbling upon good options. Yet these studies may not capture the richness of exploration strategies that people exhibit in more complex environments. Here we study behaviour in a large dataset of 29,493 players of the richly structured online game 'Little Alchemy 2'. In this game, players start with four elements, which they can combine to create up to 720 complex objects. We find that players are driven not only by external reward signals, such as an attempt to produce successful outcomes, but also by an intrinsic motivation to create objects that empower them to create even more objects. We find that this drive for empowerment is eliminated when playing a game variant that lacks recognizable semantics, indicating that people use their knowledge about the world and its possibilities to guide their exploration. Our results suggest that the drive for empowerment may be a potent source of intrinsic motivation in richly structured domains, particularly those that lack explicit reward signals.
研究表明,人类探索常常是偶然间发现了好的选择。然而,这些研究可能无法捕捉到人们在更复杂的环境中表现出的探索策略的丰富性。在这里,我们研究了一个由 29493 名“小小炼金术 2”在线游戏玩家组成的大型数据集的行为。在这个游戏中,玩家从四个元素开始,可以将它们组合成多达 720 种复杂的物体。我们发现,玩家不仅受到外部奖励信号的驱动,例如试图产生成功的结果,还受到内在动机的驱动,即创造能够赋予他们创造更多物体的能力的物体。我们发现,当玩一种缺乏可识别语义的游戏变体时,这种赋予权力的驱动力就会被消除,这表明人们利用他们对世界及其可能性的知识来指导他们的探索。我们的结果表明,在结构丰富的领域中,特别是在缺乏明确奖励信号的领域中,赋予权力的驱动力可能是内在动机的一个有力来源。
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