两个人做人爱视频免费,97久久精品人人搡人妻人人玩,欧洲精品码一区二区三区,999zyz玖玖资源站永久

我要投稿 投訴建議

考研英語(yǔ)報(bào)刊文章閱讀

時(shí)間:2021-02-14 08:36:40 考研英語(yǔ) 我要投稿

考研英語(yǔ)報(bào)刊文章閱讀

  Computerised trading agents may help humans build better markets。

考研英語(yǔ)報(bào)刊文章閱讀

  THANKS to slumping markets, investment banks are shedding many of their highly-paid traders. When markets recover, the banks might be tempted to replace them with rather cheaper talent. One alternative has been around for a while but has yet to catch on: autonomous trading agents-computers programmed to act like the human version without such pesky costs as holidays, lunch breaks or bonuses. Program trading has, of course, been done before; some blamed the 1987 stockmarket crash on computers instructed with simple decision-making rules. But robots can be smarter than that.

  Dave Cliff, a researcher at Hewlett-Packard Laboratories in Bristol, England, has been creating trading robots for seven years. In computer simulations he lets them evolve genetically , and so allows them to adapt and fit models of real-world financial markets. His experiments have suggested that a redesign of some markets could lead to greater efficiency. Last year, a research group at IBM showed that Mr Cliff s artificial traders could consistently beat the human variety, in various kinds of market. Nearly all take the shape of an auction. One well-known type is the English auction, familiar to patrons of the salesrooms of Christie s and Sotheby s, where sellers keep mum on their offer price, and buyers increase their bids by stages until only one remains.

主站蜘蛛池模板: 五河县| 安康市| 廉江市| 赞皇县| 西贡区| 阿拉善右旗| 仁怀市| 离岛区| 伊宁市| 甘南县| 泗水县| 虞城县| 六枝特区| 黑山县| 马山县| 万源市| 万年县| 绥滨县| 星座| 清苑县| 松潘县| 东乌| 蒙城县| 铜山县| 神池县| 阿克陶县| 离岛区| 台前县| 西乌珠穆沁旗| 通江县| 灌南县| 岢岚县| 舒城县| 灌阳县| 冷水江市| 巢湖市| 花莲市| 弥勒县| 龙井市| 神农架林区| 宁国市|