{"id":9519,"date":"2016-08-24T01:00:00","date_gmt":"2016-08-23T17:00:00","guid":{"rendered":"http:\/\/swarma.org\/%swarma-paper%\/"},"modified":"2018-12-11T21:52:31","modified_gmt":"2018-12-11T13:52:31","slug":"%e4%ba%ba%e5%b7%a5%e6%99%ba%e8%83%bd%e5%8f%af%e4%bb%a5%e5%b8%ae%e6%88%91%e4%bb%ac%e6%89%be%e5%88%b0%e4%b8%8b%e4%b8%80%e4%b8%aa%e4%bc%98%e8%89%af%e7%9a%84%e6%96%b0%e6%9d%90%e6%96%99%e5%90%97%ef%bc%9f","status":"publish","type":"post","link":"https:\/\/swarma.org\/?p=9519","title":{"rendered":"\u4eba\u5de5\u667a\u80fd\u53ef\u4ee5\u5e2e\u6211\u4eec\u627e\u5230\u4e0b\u4e00\u4e2a\u4f18\u826f\u7684\u65b0\u6750\u6599\u5417\uff1f| \u590d\u6742\u6587\u6458\u7ffb\u8bd1"},"content":{"rendered":"
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\u76ee\u5f55<\/span><\/strong><\/p>\n


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12.  \u4eba\u5de5\u667a\u80fd\u53ef\u4ee5\u5e2e\u6211\u4eec\u627e\u5230\u4e0b\u4e00\u4e2a\u4f18\u826f\u7684\u65b0\u6750\u6599\u5417\uff1f<\/span><\/p>\n

(Can artificial intelligence create the next wonder material?)<\/span><\/p>\n


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13.  \u4ece\u6210\u529f\u5ea6\u4e2d\u7406\u6e05\u6280\u80fd\u8868\u73b0\u7684\u5f71\u54cd<\/span><\/p>\n

(Untangling performance from success)<\/span><\/p>\n


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14.  \u7f51\u7edc\u4e2d\u793e\u533a\u6570\u76ee\u7684\u4f30\u7b97<\/span><\/p>\n

(Estimating the number of communities in a network)<\/span><\/p>\n


<\/p>\n

15.  \u5408\u4f5c\u8fd8\u662f\u4e0d\u5408\u4f5c\uff1a\u4e3a\u4ec0\u4e48\u884c\u4e3a\u673a\u5236\u5f88\u91cd\u8981 <\/span><\/p>\n

(To Cooperate or Not to Cooperate: Why Behavioural Mechanisms Matter)<\/span><\/p>\n


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16.  \u5f00\u6e90\u6570\u636e\u63ed\u793a\u7f51\u7edc\u548c\u8857\u5934\u6297\u8bae\u6d3b\u52a8\u4e4b\u95f4\u7684\u5173\u8054<\/span><\/p>\n

(Open source data reveals connection between online and on-street protest activity)<\/span><\/p>\n


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\uff08\u66f4\u591a\u6587\u6458\u8bf7\u70b9\u51fb\u9605\u8bfb\u539f\u6587\u3002\uff09<\/span><\/span><\/p>\n


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12.  \u4eba\u5de5\u667a\u80fd\u53ef\u4ee5\u5e2e\u6211\u4eec\u627e\u5230\u4e0b\u4e00\u4e2a\u4f18\u826f\u7684\u65b0\u6750\u6599\u5417\uff1f<\/strong><\/span><\/p>\n

(Can artificial intelligence create the next wonder material?)<\/strong><\/span><\/p>\n

\"\u96c6\u667a\"
<\/p>\n

May 7, 4:14 PM From www.nature.com<\/span><\/p>\n

by Nicola Nosengo
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(Translated by – \u5f6d\u7a0b\uff0cedited by \u5085\u6e25\u6210)<\/span>
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Instead of continuing to develop new materials the old-fashioned way \u2014 stumbling across them by luck, then painstakingly measuring their properties in the laboratory \u2014 Marzari and like-minded researchers are using computer modelling and machine-learning techniques to generate libraries of candidate materials by the tens of thousands. Even data from failed experiments can provide useful input1. Many of these candidates are completely hypothetical, but engineers are already beginning to shortlist those that are worth synthesizing and testing for specific applications by searching through their predicted properties \u2014 for example, how well they will work as a conductor or an insulator, whether they will act as a magnet, and how much heat and pressure they can withstand.<\/p>\n<\/blockquote>\n


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<\/span>  \u8bd1\u6587\uff1a<\/strong><\/p>\n

\u4e0e\u4f20\u7edf\u7684\u5f00\u53d1\u65b0\u6750\u6599\u65b9\u6cd5\u4e0d\u540c\uff0cMarzari \u548c\u5fd7\u540c\u9053\u5408\u7684\u7814\u7a76\u8005\u4eec\u4e0d\u518d\u51ed\u501f\u5076\u7136\u53d1\u73b0\u65b0\u6750\u6599\u7684\u8fd0\u6c14\u5728\u5b9e\u9a8c\u5ba4\u7cbe\u5fc3\u6d4b\u8bd5\u6750\u6599\u6027\u80fd\uff0c\u800c\u662f\u5229\u7528\u8ba1\u7b97\u673a\u5efa\u6a21\u548c\u673a\u5668\u5b66\u4e60\u6280\u672f\u901a\u8fc7\u6570\u4ee5\u4e07\u8ba1\u6b21\u7684\u8bad\u7ec3\u751f\u6210\u5019\u9009\u6750\u6599\u5e93 \u3002\u5373\u4f7f\u6765\u81ea\u5931\u8d25\u5b9e\u9a8c\u7684\u6570\u636e\u4e5f\u80fd\u591f\u63d0\u4f9b\u6709\u6548\u7684\u8f93\u5165\u3002\u867d\u7136\u5f88\u591a\u5019\u9009\u6750\u6599\u90fd\u662f\u5b8c\u5168\u5047\u8bbe\u7684\uff0c\u4f46\u662f\u5de5\u7a0b\u5e08\u4eec\u5df2\u7ecf\u5f00\u59cb\u901a\u8fc7\u641c\u7d22\u90a3\u4e9b\u9884\u6d4b\u51fa\u6765\u7684\u6027\u80fd\uff08\u4f8b\u5982\u6750\u6599\u4f5c\u4e3a\u5bfc\u4f53\u6216\u8005\u7edd\u7f18\u4f53\u65f6\u7684\u5de5\u4f5c\u6548\u679c\u3001\u80fd\u5426\u4f5c\u4e3a\u78c1\u4f53\u3001\u4ee5\u53ca\u8010\u9ad8\u6e29\u6216\u9ad8\u538b\u7684\u6027\u8d28\u7b49\uff09\uff0c\u5c06\u90a3\u4e9b\u503c\u5f97\u5408\u6210\u548c\u6d4b\u8bd5\u7684\u5177\u6709\u7279\u5b9a\u529f\u80fd\u7684\u6750\u6599\u5217\u5165\u5019\u9009\u540d\u5355\u3002<\/p>\n


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\u539f\u6587\u94fe\u63a5\uff1a<\/strong><\/p>\n

http:\/\/www.nature.com\/news\/can-artificial-intelligence-create-the-next-wonder-material-1.19850?WT.ec_id=NATURE-20160505&spMailingID=51301208&spUserID=MjA1NzczNDc3MgS2&spJobID=920498312&spReportId=OTIwNDk4MzEyS0<\/span><\/p>\n


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13.  \u4ece\u6210\u529f\u5ea6\u4e2d\u7406\u6e05\u6280\u80fd\u8868\u73b0\u7684\u5f71\u54cd <\/strong><\/span><\/p>\n

(Untangling performance from success)<\/strong><\/span><\/p>\n

\"\u96c6\u667a\"
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May 8, 9:10 AM From epjdatascience.springeropen.com<\/span><\/p>\n

by Burcu Yucesoy, Albert-L\u00e1szl\u00f3 Barab\u00e1si
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(Translated by – jeffersonchou)<\/span>
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\n

Fame, popularity and celebrity status, frequently used tokens of success, are often loosely related to, or even divorced from professional performance. This dichotomy is partly rooted in the difficulty to distinguish performance, an individual measure that captures the actions of a performer, from success, a collective measure that captures a community\u2019s reactions to these actions. Yet, finding the relationship between the two measures is essential for all areas that aim to objectively reward excellence, from science to business. Here we quantify the relationship between performance and success by focusing on tennis, an individual sport where the two quantities can be independently measured. We show that a predictive model, relying only on a tennis player\u2019s performance in tournaments, can accurately predict an athlete\u2019s popularity, both during a player\u2019s active years and after retirement. Hence the model establishes a direct link between performance and momentary popularity. The agreement between the performance-driven and observed popularity suggests that in most areas of human achievement exceptional visibility may be rooted in detectable performance measures.<\/p>\n<\/blockquote>\n


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<\/span>  \u8bd1\u6587\uff1a<\/strong><\/p>\n

\u5e38\u88ab\u7528\u4f5c\u6210\u529f\u5ea6\u6807\u7b7e\u7684\u540d\u58f0\u3001\u4eba\u6c14\u548c\uff08\u660e\u661f\uff09\u5730\u4f4d\u7b49\u56e0\u7d20\uff0c\u5f80\u5f80\u4e0e\u4e2a\u4eba\u7684\u4e13\u4e1a\u6280\u80fd\u8868\u73b0\u4ec5\u6709\u677e\u6563\u7684\u8054\u7cfb\uff0c\u751a\u81f3\u76f8\u4e92\u80cc\u79bb\u3002\u8fd9\u79cd\u80cc\u79bb\u90e8\u5206\u6e90\u4e8e\u96be\u4ee5\u4ece\u6210\u529f\u4e2d\u533a\u5206\u6280\u80fd\u8868\u73b0\u7684\u5f71\u54cd\uff0c\u6280\u80fd\u8868\u73b0\u662f\u5bf9\u9009\u624b\u804c\u4e1a\u6d3b\u52a8\u7684\u72ec\u7acb\u8861\u91cf\uff0c\u800c\u6210\u529f\u5219\u662f\u793e\u4f1a\u7fa4\u4f53\u5bf9\u4e0a\u8ff0\u804c\u4e1a\u6d3b\u52a8\u6240\u4ea7\u751f\u53cd\u5e94\u7684\u7efc\u5408\u6807\u8bc6\u3002\u7136\u800c\uff0c\u786e\u5b9a\u8fd9\u4e24\u4e2a\u8bc4\u4ef7\u4f53\u7cfb\u4e4b\u95f4\u7684\u5173\u7cfb\uff0c\u5bf9\u4e8e\u5ba2\u89c2\u5730\u6fc0\u52b1\u4ece\u5b66\u754c\u5230\u5546\u754c\u7b49\u6240\u6709\u9886\u57df\u7684\u6770\u51fa\u4eba\u58eb\u975e\u5e38\u5fc5\u8981\u3002\u5728\u672c\u6587\u4e2d\uff0c\u6211\u4eec\u901a\u8fc7\u4e13\u6ce8\u4e8e\u7f51\u7403\u2014\u2014\u8fd9\u79cd\u53ef\u4ee5\u5bf9\u8fd9\u4e24\u4e2a\u8bc4\u4ef7\u4f53\u7cfb\u8fdb\u884c\u72ec\u7acb\u6d4b\u91cf\u7684\u8fd0\u52a8\uff0c\u6765\u91cf\u5316\u6280\u80fd\u8868\u73b0\u548c\u6210\u529f\u5ea6\u4e4b\u95f4\u7684\u5173\u7cfb\u3002\u6211\u4eec\u5efa\u7acb\u4e86\u4e00\u4e2a\u6839\u636e\u7f51\u7403\u9009\u624b\u5de1\u56de\u8d5b\u8868\u73b0\uff0c\u7cbe\u786e\u63a8\u65ad\u5176\u73b0\u5f79\u53ca\u9000\u5f79\u540e\u53d7\u6b22\u8fce\u7a0b\u5ea6\u7684\u9884\u6d4b\u6a21\u578b\u3002\u8fd9\u4e2a\u6a21\u578b\u5728\u9009\u624b\u7684\u6280\u80fd\u8868\u73b0\u4e0e\u5373\u65f6\u6b22\u8fce\u5ea6\u4e4b\u95f4\u5efa\u7acb\u4e86\u76f4\u63a5\u8054\u7cfb\u3002\u6280\u80fd\u8868\u73b0\u4e0e\u89c2\u5bdf\u5230\u7684\u53d7\u6b22\u8fce\u7a0b\u5ea6\u53d8\u5316\u8d8b\u52bf\u4e00\u81f4\uff0c\u8fd9\u8868\u660e\u5728\u4eba\u7c7b\u6210\u5c31\u7684\u5927\u591a\u6570\u9886\u57df\uff0c\u975e\u6bd4\u5bfb\u5e38\u7684\u77e5\u540d\u5ea6\u5f88\u53ef\u80fd\u6839\u6e90\u4e8e\u53ef\u5bdf\u89c9\u7684\u6280\u80fd\u8868\u73b0\u8bc4\u4ef7\u3002<\/p>\n


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\u539f\u6587\u94fe\u63a5\uff1a<\/strong><\/p>\n

http:\/\/epjdatascience.springeropen.com\/articles\/10.1140\/epjds\/s13688-016-0079-z<\/span><\/p>\n


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14.  \u7f51\u7edc\u4e2d\u793e\u533a\u6570\u76ee\u7684\u4f30\u7b97 <\/strong><\/span><\/p>\n

(Estimating the number of communities in a network)<\/strong><\/span><\/p>\n

\"\u96c6\u667a\"
May 11, 6:18 PM From arxiv.org<\/span><\/p>\n

by M.E.J.Newman, Gesine Reinert
<\/span><\/p>\n

(Translated by – \u5f20\u7693\uff0cedited by \u5085\u6e25\u6210)<\/span>
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Community detection, the division of a network into dense subnetworks with only sparse connections between them, has been a topic of vigorous study in recent years. However, while there exist a range of powerful and flexible methods for dividing a network into a specified number of communities, it is an open question how to determine exactly how many communities one should use. Here we describe a mathematically principled approach for finding the number of communities in a network using a maximum-likelihood method. We demonstrate this approach on a range of real-world examples with known community structure, finding that it is able to determine the number of communities correctly in every case.<\/p>\n<\/blockquote>\n


<\/p>\n

<\/span>  \u8bd1\u6587\uff1a<\/strong><\/p>\n

\u793e\u533a\u8bc6\u522b\uff0c\u5c06\u7f51\u7edc\u5212\u5206\u4e3a\u5f7c\u6b64\u5177\u6709\u7a00\u758f\u8054\u7cfb\u7684\u5bc6\u96c6\u5b50\u7f51\u7edc\uff0c\u5728\u8fd1\u5e74\u4e00\u76f4\u662f\u7814\u7a76\u8005\u4eec\u975e\u5e38\u5173\u5fc3\u7684\u8bfe\u9898\u3002\u5c3d\u7ba1\u5df2\u6709\u5927\u91cf\u5f3a\u5927\u4e14\u5bcc\u6709\u5f39\u6027\u7684\u65b9\u6cd5\u5c06\u4e00\u4e2a\u7f51\u7edc\u5212\u5206\u4e3a\u7279\u5b9a\u6570\u76ee\u7684\u793e\u533a\uff0c\u7136\u800c\u5728\u5e94\u7528\u8fd9\u4e9b\u65b9\u6cd5\u65f6\uff0c\u5982\u4f55\u51c6\u786e\u786e\u5b9a\u793e\u533a\u7684\u6570\u76ee\u4ecd\u7136\u662f\u4e00\u4e2a\u5f00\u653e\u7684\u95ee\u9898\u3002\u8fd9\u91cc\u6211\u4eec\u63cf\u8ff0\u4e86\u4e00\u4e2a\u57fa\u4e8e\u6570\u5b66\u539f\u5219\u7684\u65b9\u6cd5\uff0c\u5229\u7528\u6700\u5927\u4f3c\u7136\u6cd5\u6765\u786e\u5b9a\u4e00\u4e2a\u7f51\u7edc\u4e2d\u793e\u533a\u7684\u6570\u76ee\u3002\u901a\u8fc7\u73b0\u5b9e\u4e16\u754c\u4e2d\u5df2\u77e5\u793e\u533a\u7ed3\u6784\u7684\u4e00\u4e9b\u6848\u4f8b\uff0c\u6211\u4eec\u8bc1\u660e\u4e86\u8fd9\u4e2a\u65b9\u6cd5\u7684\u6709\u6548\u6027\uff0c\u53d1\u73b0\u8fd9\u4e2a\u65b9\u6cd5\u80fd\u6b63\u786e\u5730\u4e3a\u6bcf\u4e2a\u6848\u4f8b\u786e\u5b9a\u5176\u793e\u533a\u7684\u6570\u76ee\u3002<\/p>\n


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\u539f\u6587\u94fe\u63a5\uff1a<\/strong><\/p>\n

http:\/\/arxiv.org\/abs\/1605.02753<\/span><\/p>\n


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15.  \u5408\u4f5c\u8fd8\u662f\u4e0d\u5408\u4f5c\uff1a\u4e3a\u4ec0\u4e48\u884c\u4e3a\u673a\u5236\u5f88\u91cd\u8981<\/strong><\/span><\/p>\n

(To Cooperate or Not to Cooperate: Why Behavioural Mechanisms Matter)<\/strong><\/span><\/p>\n

\"\u96c6\u667a\"
May 12, 3:15 PM From journals.plos.org<\/span><\/p>\n

by Arthur Bernard, Jean-Baptiste Andr\u00e9, Nicolas Bredeche
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(Translated by – boboyang\uff0cedited by \u5085\u6e25\u6210)<\/span>
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\n

Mutualistic behaviours wherein several individuals act together for a common benefit, such as a collective hunt, are often deemed of minor interest by theoreticians in evolutionary biology. These behaviours benefit all the individuals involved, and therefore, so the argument goes, their evolution is straightforward. However, mutualistic behaviours do pose a specific kind of evolutionary problem: they require the coordination of several partners. Indeed, a single individual expressing a preference for cooperation cannot benefit if others wish to remain solitary. Here we use simulations in evolutionary robotics to study the consequences of this problem. We show that it constitutes a far more serious obstacle for the evolution of cooperation than was previously thought on the basis of game theoretical analyses. We find that the transition from solitary to cooperative strategies is very unlikely, and we also observe that successful cooperation requires the evolution of a specific and rather complex behaviour, necessary for individuals to coordinate with each other. This reveals the critical role of the practical mechanics of behaviour in evolution.<\/p>\n<\/blockquote>\n


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<\/span>  \u8bd1\u6587\uff1a<\/strong><\/p>\n

\u4e92\u60e0\u884c\u4e3a\uff08\u82e5\u5e72\u4eba\u4e3a\u4e86\u5171\u540c\u5229\u76ca\u4e00\u8d77\u884c\u52a8\uff0c\u5982\u96c6\u4f53\u72e9\u730e\uff09\u5f80\u5f80\u4e0d\u80fd\u5f15\u8d77\u8fdb\u5316\u751f\u7269\u5b66\u7406\u8bba\u5b66\u5bb6\u7684\u5174\u8da3\u3002\u8fd9\u4e9b\u884c\u4e3a\u6709\u5229\u4e8e\u6240\u6709\u53c2\u4e0e\u7684\u4e2a\u4eba\uff0c\u56e0\u6b64\uff08\u8fd9\u6837\u7684\u4e89\u8bba\u8fd8\u5728\u7ee7\u7eed\uff09\u5176\u8fdb\u5316\u662f\u5f88\u663e\u7136\u7684\u3002\u7136\u800c\uff0c\u4e92\u60e0\u884c\u4e3a\u5f15\u53d1\u4e86\u4e00\u79cd\u7279\u5b9a\u7684\u8fdb\u5316\u95ee\u9898\uff1a\u4ed6\u4eec\u9700\u8981\u51e0\u4e2a\u5408\u4f5c\u4f19\u4f34\u7684\u534f\u8c03\u3002\u4e8b\u5b9e\u4e0a\uff0c\u5982\u679c\u67d0\u4eba\u8868\u8fbe\u4e86\u5408\u4f5c\u7684\u504f\u597d\u4f46\u5176\u4ed6\u4eba\u60f3\u4fdd\u6301\u4e0d\u5408\u4f5c\uff0c\u90a3\u4e48\u8fd9\u4eba\u5c06\u4e0d\u80fd\u83b7\u76ca\u3002\u8fd9\u7bc7\u6587\u7ae0\u91cc\u6211\u4eec\u4f7f\u7528\u8fdb\u5316\u673a\u5668\u4eba\u6a21\u62df\u6765\u7814\u7a76\u8fd9\u4e2a\u95ee\u9898\u7684\u540e\u679c\u3002\u6211\u4eec\u53d1\u73b0\uff0c\u5b83\u5bf9\u5408\u4f5c\u8fdb\u5316\u6784\u6210\u4e86\uff08\u6bd4\u4ee5\u524d\u5728\u535a\u5f08\u8bba\u5206\u6790\u57fa\u7840\u4e0a\u6240\u8ba4\u4e3a\u7684\uff09\u66f4\u4e3a\u4e25\u91cd\u7684\u969c\u788d\u3002\u6211\u4eec\u53d1\u73b0\uff0c\u4ece\u975e\u5408\u4f5c\u5230\u5408\u4f5c\u7b56\u7565\u7684\u8f6c\u53d8\u662f\u6781\u4e3a\u4e0d\u53ef\u80fd\u7684\uff0c\u6211\u4eec\u4e5f\u89c2\u5bdf\u5230\uff0c\u6210\u529f\u7684\u5408\u4f5c\u9700\u8981\u4e00\u4e2a\u7279\u5b9a\u7684\u3001\u76f8\u5f53\u590d\u6742\u7684\u884c\u4e3a\u6f14\u5316\uff0c\u6709\u5fc5\u8981\u5bf9\u4e2a\u4f53\u8fdb\u884c\u76f8\u4e92\u534f\u8c03\u3002\u8fd9\u63ed\u793a\u4e86\u5728\u8fdb\u5316\u4e2d\u7684\u5b9e\u9645\u884c\u4e3a\u673a\u5236\u7684\u5173\u952e\u4f5c\u7528\u3002<\/p>\n


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\u539f\u6587\u94fe\u63a5\uff1a<\/strong><\/p>\n

http:\/\/journals.plos.org\/ploscompbiol\/article?id=10.1371%2Fjournal.pcbi.1004886<\/span><\/p>\n


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16.  \u5f00\u6e90\u6570\u636e\u63ed\u793a\u7f51\u7edc\u548c\u8857\u5934\u6297\u8bae\u6d3b\u52a8\u4e4b\u95f4\u7684\u5173\u8054 <\/strong><\/span><\/p>\n

(Open source data reveals connection between online and on-street protest activity)<\/strong><\/span><\/p>\n

\"\u96c6\u667a\"
May 12, 6:56 PM From epjdatascience.springeropen.com<\/span><\/p>\n

by Hong Qi, Pedro Manrique, Daniela Johnson, Elvira Restrepo and Neil F Johnson
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(Translated by – F7\uff0cedited by \u5510\u7490)
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There is enormous interest in inferring features of human behavior in the real world from potential digital footprints created online – particularly at the collective level, where the sheer volume of online activity may indicate some changing mood within the population regarding a particular topic. Civil unrest is a prime example, involving the spontaneous appearance of large crowds of otherwise unrelated people on the street on a certain day. While indicators of brewing protests might be gleaned from individual online communications or account content (e.g. Twitter, Facebook) societal concerns regarding privacy can make such probing a politically delicate issue. Here we show that instead, a simple low-level indicator of civil unrest can be obtained from online data at the aggregate level through Google Trends or similar tools. Our study covers countries across Latin America during 2011-2014 in which diverse civil unrest events took place. In each case, we find that the combination of the volume and momentum of searches from Google Trends surrounding pairs of simple keywords, tailored for the specific cultural setting, provide good indicators of periods of civil unrest. This proof-of-concept study motivates the search for more geographically specific indicators based on geo-located searches at the urban level.<\/p>\n<\/blockquote>\n


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\u6839\u636e\u4e0a\u7f51\u8bb0\u5f55\u63a8\u65ad\u4eba\u7c7b\u7684\u884c\u4e3a\u7279\u5f81\u2014\u2014\u5c24\u5176\u662f\u5728\u7fa4\u4f53\u5c42\u9762\u4e0a\u2014\u2014\u5f15\u8d77\u4e86\u5f88\u591a\u5174\u8da3\uff0c\u5728\u7ebf\u6d3b\u52a8\u7684\u7a81\u7136\u8f6c\u5411\u7684\u89c4\u6a21\u53ef\u80fd\u8868\u660e\u7fa4\u4f53\u5bf9\u7279\u5b9a\u8bdd\u9898\u7684\u60c5\u7eea\u53d1\u751f\u4e86\u53d8\u5316\u3002\u6c11\u4f17\u52a8\u4e71\u5c31\u662f\u4e00\u4e2a\u5178\u578b\u7684\u4f8b\u5b50\uff0c\u5927\u6279\u4e92\u4e0d\u76f8\u8bc6\u7684\u4eba\u540c\u65f6\u805a\u96c6\u5230\u8857\u4e0a\u3002\u800c\u6297\u8bae\u6d3b\u52a8\u6b63\u5728\u915d\u917f\u7684\u82d7\u5934\u53ef\u4ee5\u4ece\u4e2a\u4eba\u5728\u7ebf\u804a\u5929\u7684\u5185\u5bb9\u6216\u8005\u8d26\u6237\u5185\u5bb9\uff08\u6bd4\u5982Twitter, Facebook\uff09\u83b7\u53d6\uff0c\u4e0d\u8fc7\u5bf9\u4e2a\u4eba\u9690\u79c1\u7684\u793e\u4f1a\u5173\u5207\u4f1a\u8ba9\u8fd9\u79cd\u505a\u6cd5\u5145\u6ee1\u4e89\u8bae\u3002\u5728\u6b64\uff0c\u6211\u4eec\u63d0\u51fa\u4e86\u4e00\u4e2a\u66ff\u4ee3\u529e\u6cd5\uff0c\u5229\u7528Google Trend\u6216\u7c7b\u4f3c\u5de5\u5177\u7684\u603b\u4f53\u5728\u7ebf\u6570\u636e\u5c31\u53ef\u4ee5\u83b7\u5f97\u4e00\u4e2a\u7b80\u5355\u7684\u6c11\u4f17\u9a9a\u4e71\u7684\u4f4e\u5c42\u6b21\u9884\u6d4b\u6307\u6807\u3002\u6211\u4eec\u7814\u7a76\u4e86\u62c9\u7f8e\u5730\u533a2011-2014\u5e74\u95f4\u53d1\u751f\u4e86\u5404\u79cd\u6c11\u4f17\u9a9a\u4e71\u7684\u5730\u533a\u3002\u5728\u6bcf\u4e00\u4e2a\u6848\u4f8b\u91cc\uff0c\u6211\u4eec\u53d1\u73b0Google Trend\u4e0a\u56f4\u7ed5\u51e0\u4e2a\u7b80\u5355\u5173\u952e\u8bcd\u7684\u641c\u7d22\u6570\u91cf\u548c\u8d8b\u52bf\u7684\u7ec4\u5408\uff0c\u5728\u6392\u9664\u7279\u5b9a\u7684\u6587\u5316\u8bbe\u5b9a\u540e\uff0c\u4e3a\u6c11\u4f17\u9a9a\u4e71\u7684\u65f6\u671f\u63d0\u4f9b\u4e86\u5f88\u597d\u7684\u6307\u6807\u3002\u8fd9\u4e00\u5b9e\u8bc1\u7ed3\u679c\u542f\u53d1\u6211\u4eec\u57fa\u4e8e\u641c\u7d22\u7684\u57ce\u5e02\u7ea7\u522b\u5730\u7406\u4f4d\u7f6e\u5bfb\u627e\u66f4\u5177\u5730\u7406\u9488\u5bf9\u6027\u7684\u6307\u6807\u3002<\/p>\n


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\u539f\u6587\u94fe\u63a5\uff1a<\/strong><\/p>\n

http:\/\/epjdatascience.springeropen.com\/articles\/10.1140\/epjds\/s13688-016-0081-5<\/span><\/p>\n

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\u96c6\u667a\u8457\u4f5c\uff1a\u300a\u8d70\u8fd12050\uff1a\u6ce8\u610f\u529b\u3001\u4e92\u8054\u7f51\u4e0e\u4eba\u5de5\u667a\u80fd\u300b<\/span><\/strong><\/p>\n

\"\u96c6\u667a\"<\/span><\/strong>
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\"\u96c6\u667a\"\u2190<\/span>\u8bc6\u522b\u4e8c\u7ef4\u7801\u8d2d\u4e70~<\/section>\n

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\u968f\u7740\u4eba\u5de5\u667a\u80fd\u7a0b\u5e8fAlphaGo\u4ee54:1\u7684\u5927\u6bd4\u5206\u6218\u80dc\u4eba\u7c7b\u56f4\u68cb\u4e16\u754c\u51a0\u519b\u674e\u4e16\u77f3\uff0c\u673a\u5668\u5c06\u5f81\u670d\u4eba\u7c7b\u7684\u62c5\u5fe7\u6b63\u5728\u751a\u56a3\u5c18\u4e0a\u3002\u300a\u8d70\u8fd12050\uff1a\u6ce8\u610f\u529b\u3001\u4e92\u8054\u7f51\u4e0e\u4eba\u5de5\u667a\u80fd\u300b\u5219\u4e3a\u6211\u4eec\u63cf\u7ed8\u4e86\u4e00\u5e45\u4eba\u673a\u548c\u8c10\u5171\u751f\u3001\u534f\u540c\u6f14\u5316\u7684\u5168\u65b0\u573a\u666f\u3002\u5728\u770b\u5f97\u89c1\u7684\u672a\u6765\uff0c\u4eba\u7c7b\u5c06\u8d8a\u6765\u8d8a\u591a\u5730\u6c89\u6d78\u4e8e\u4e94\u82b1\u516b\u95e8\u7684\u865a\u62df\u4e16\u754c\u4ee5\u83b7\u53d6\u5404\u5f0f\u4f53\u9a8c\uff0c\u4e0e\u6b64\u540c\u65f6\uff0c\u6211\u4eec\u5c06\u5fc3\u7518\u60c5\u613f\u5730\u5c06\u81ea\u5df1\u7684\u6ce8\u610f\u529b\u6e90\u6e90\u4e0d\u65ad\u5730\u8f93\u5165\u7ed9\u673a\u5668\u4e16\u754c\u4ee5\u4fc3\u4f7f\u5b83\u4eec\u8fdb\u5316\u3002<\/span><\/p>\n

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\"\u96c6\u667a\"<\/p>\n

\"\u96c6\u667a\"<\/p>\n

\u8ba9\u82f9\u679c\u7838\u5f97\u66f4\u731b\u70c8\u4e9b\u5427\uff01\uff01\uff01<\/span><\/p>\n

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\u957f\u6309\u8bc6\u522b\u4e8c\u7ef4\u7801\uff0c\u5173\u6ce8\u96c6\u667aClub\u5fae\u4fe1\uff0c<\/span><\/p>\n

\u8ba9\u6211\u4eec\u79bb\u79d1\u5b66\u63a2\u7d22\u66f4\u8fd1\u4e00\u6b65\u3002<\/span><\/p>\n

\u25bc\u70b9\u51fb\u67e5\u770b\u66f4\u591a\u6587\u6458<\/span><\/span><\/p>\n

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\u59cb\u53d1\u4e8e\u5fae\u4fe1\u516c\u4f17\u53f7\uff1a \u96c6\u667a\u4ff1\u4e50\u90e8 <\/p>\n<\/blockquote>\n<\/div>\n","protected":false},"excerpt":{"rendered":"

\u76ee\u5f55 12.  \u4eba\u5de5\u667a\u80fd\u53ef\u4ee5\u5e2e\u6211\u4eec\u627e\u5230\u4e0b\u4e00\u4e2a\u4f18\u826f\u7684\u65b0\u6750\u6599\u5417\uff1f (Can artificial intelligence create the next wonder material?) 13.  \u4ece\u6210\u529f\u5ea6\u4e2d\u7406\u6e05\u6280\u80fd\u8868\u73b0\u7684\u5f71\u54cd (Untangling performance fr…<\/p>\n","protected":false},"author":1,"featured_media":9520,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":[],"categories":[27],"tags":[],"special":[],"_links":{"self":[{"href":"https:\/\/swarma.org\/index.php?rest_route=\/wp\/v2\/posts\/9519"}],"collection":[{"href":"https:\/\/swarma.org\/index.php?rest_route=\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/swarma.org\/index.php?rest_route=\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/swarma.org\/index.php?rest_route=\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/swarma.org\/index.php?rest_route=%2Fwp%2Fv2%2Fcomments&post=9519"}],"version-history":[{"count":1,"href":"https:\/\/swarma.org\/index.php?rest_route=\/wp\/v2\/posts\/9519\/revisions"}],"predecessor-version":[{"id":9535,"href":"https:\/\/swarma.org\/index.php?rest_route=\/wp\/v2\/posts\/9519\/revisions\/9535"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/swarma.org\/index.php?rest_route=\/wp\/v2\/media\/9520"}],"wp:attachment":[{"href":"https:\/\/swarma.org\/index.php?rest_route=%2Fwp%2Fv2%2Fmedia&parent=9519"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/swarma.org\/index.php?rest_route=%2Fwp%2Fv2%2Fcategories&post=9519"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/swarma.org\/index.php?rest_route=%2Fwp%2Fv2%2Ftags&post=9519"},{"taxonomy":"special","embeddable":true,"href":"https:\/\/swarma.org\/index.php?rest_route=%2Fwp%2Fv2%2Fspecial&post=9519"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}