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合作困境中意图识别与承诺之间的协同作用。

Synergy between intention recognition and commitments in cooperation dilemmas.

作者信息

Han The Anh, Santos Francisco C, Lenaerts Tom, Pereira Luís Moniz

机构信息

School of Computing, Teesside University, Borough Road, Middlesbrough, TS1 3BA, UK.

1] INESC-ID and Instituto Superior Técnico, Universidade de Lisboa, IST-Taguspark, 2744-016 Porto Salvo, Portugal [2] ATP-group, Instituto para a Investigação Interdisciplinar, P-1649-003 Lisboa Codex, Portugal.

出版信息

Sci Rep. 2015 Mar 20;5:9312. doi: 10.1038/srep09312.

Abstract

Commitments have been shown to promote cooperation if, on the one hand, they can be sufficiently enforced, and on the other hand, the cost of arranging them is justified with respect to the benefits of cooperation. When either of these constraints is not met it leads to the prevalence of commitment free-riders, such as those who commit only when someone else pays to arrange the commitments. Here, we show how intention recognition may circumvent such weakness of costly commitments. We describe an evolutionary model, in the context of the one-shot Prisoner's Dilemma, showing that if players first predict the intentions of their co-player and propose a commitment only when they are not confident enough about their prediction, the chances of reaching mutual cooperation are largely enhanced. We find that an advantageous synergy between intention recognition and costly commitments depends strongly on the confidence and accuracy of intention recognition. In general, we observe an intermediate level of confidence threshold leading to the highest evolutionary advantage, showing that neither unconditional use of commitment nor intention recognition can perform optimally. Rather, our results show that arranging commitments is not always desirable, but that they may be also unavoidable depending on the strength of the dilemma.

摘要

研究表明,如果一方面承诺能够得到充分执行,另一方面安排承诺的成本相对于合作的收益是合理的,那么承诺能够促进合作。当这些约束条件中的任何一个得不到满足时,就会导致无承诺搭便车者的盛行,比如那些只有在别人花钱安排承诺时才做出承诺的人。在此,我们展示了意图识别如何规避这种代价高昂的承诺的弱点。我们描述了一个在一次性囚徒困境背景下的进化模型,表明如果参与者首先预测其对手的意图,并且仅在对自己的预测不够自信时才提出承诺,那么达成相互合作的机会将大大增加。我们发现,意图识别与代价高昂的承诺之间的有利协同作用在很大程度上取决于意图识别的信心和准确性。一般来说,我们观察到中等水平的信心阈值会带来最高的进化优势,这表明无条件地使用承诺或意图识别都无法达到最优效果。相反,我们的结果表明,安排承诺并不总是可取的,但根据困境的严重程度,它们也可能是不可避免的。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6be2/4366807/6c7a7f9dbc8a/srep09312-f1.jpg

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