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结合计算与社会力量进行协作式问题解决。

Combining Computational and Social Effort for Collaborative Problem Solving.

作者信息

Wagy Mark D, Bongard Josh C

机构信息

University of Vermont, Computer Science Department, Burlington, Vermont, United States of America.

出版信息

PLoS One. 2015 Nov 6;10(11):e0142524. doi: 10.1371/journal.pone.0142524. eCollection 2015.

DOI:10.1371/journal.pone.0142524
PMID:26544199
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC4636355/
Abstract

Rather than replacing human labor, there is growing evidence that networked computers create opportunities for collaborations of people and algorithms to solve problems beyond either of them. In this study, we demonstrate the conditions under which such synergy can arise. We show that, for a design task, three elements are sufficient: humans apply intuitions to the problem, algorithms automatically determine and report back on the quality of designs, and humans observe and innovate on others' designs to focus creative and computational effort on good designs. This study suggests how such collaborations should be composed for other domains, as well as how social and computational dynamics mutually influence one another during collaborative problem solving.

摘要

越来越多的证据表明,联网计算机并非取代人力,而是为人与算法的协作创造机会,以解决二者单独无法解决的问题。在本研究中,我们展示了这种协同效应能够产生的条件。我们表明,对于一项设计任务,三个要素就足够了:人类将直觉应用于问题,算法自动确定并反馈设计质量,人类观察他人的设计并进行创新,以便将创造性和计算性努力集中在优秀设计上。这项研究表明了此类协作在其他领域应如何构成,以及在协作解决问题过程中社会动态和计算动态如何相互影响。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/01e7/4636355/c5ae732343d8/pone.0142524.g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/01e7/4636355/5021637bd07c/pone.0142524.g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/01e7/4636355/11a384be816a/pone.0142524.g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/01e7/4636355/e0f4cd5a0562/pone.0142524.g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/01e7/4636355/260e0559bd32/pone.0142524.g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/01e7/4636355/c5ae732343d8/pone.0142524.g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/01e7/4636355/5021637bd07c/pone.0142524.g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/01e7/4636355/11a384be816a/pone.0142524.g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/01e7/4636355/e0f4cd5a0562/pone.0142524.g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/01e7/4636355/260e0559bd32/pone.0142524.g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/01e7/4636355/c5ae732343d8/pone.0142524.g005.jpg

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本文引用的文献

1
Understanding the group dynamics and success of teams.了解团队的群体动态和成功。
R Soc Open Sci. 2016 Apr 6;3(4):160007. doi: 10.1098/rsos.160007. eCollection 2016 Apr.
2
Space-time wiring specificity supports direction selectivity in the retina.时空布线特异性支持视网膜中的方向选择性。
Nature. 2014 May 15;509(7500):331-336. doi: 10.1038/nature13240. Epub 2014 May 4.
3
Designing collective behavior in a termite-inspired robot construction team.受白蚁启发的机器人施工团队中的集体行为设计。
Science. 2014 Feb 14;343(6172):754-8. doi: 10.1126/science.1245842.
4
Algorithm discovery by protein folding game players.通过蛋白质折叠游戏玩家发现算法。
Proc Natl Acad Sci U S A. 2011 Nov 22;108(47):18949-53. doi: 10.1073/pnas.1115898108. Epub 2011 Nov 7.
5
Software for systems biology: from tools to integrated platforms.系统生物学软件:从工具到集成平台。
Nat Rev Genet. 2011 Nov 3;12(12):821-32. doi: 10.1038/nrg3096.
6
Evidence for a collective intelligence factor in the performance of human groups.人类群体表现中存在集体智慧因素的证据。
Science. 2010 Oct 29;330(6004):686-8. doi: 10.1126/science.1193147. Epub 2010 Sep 30.
7
Distilling free-form natural laws from experimental data.从实验数据中提炼自由形式的自然规律。
Science. 2009 Apr 3;324(5923):81-5. doi: 10.1126/science.1165893.
8
A hypercube-based encoding for evolving large-scale neural networks.基于超立方体的大规模神经网络进化编码。
Artif Life. 2009 Spring;15(2):185-212. doi: 10.1162/artl.2009.15.2.15202.
9
Reducing the dimensionality of data with neural networks.使用神经网络降低数据维度。
Science. 2006 Jul 28;313(5786):504-7. doi: 10.1126/science.1127647.
10
Did internal transport, rather than directed locomotion, favor the evolution of bilateral symmetry in animals?是内部运输而非定向运动有利于动物两侧对称的进化吗?
Bioessays. 2005 Nov;27(11):1174-80. doi: 10.1002/bies.20299.