打破砂锅爱到底Why we love who we love

Have you ever known a married couple that just didn't seem as though they should fit together -- yet they are both happy in the marriage, and you can't figure out why? 

I know of one couple: He is a burly ex-athlete who, in addition to being a successful salesman, coaches Little League, is active in his Rotary Club and plays golf every Saturday with friends. Meanwhile, his wife is petite, quiet and a complete Homebody. She doesn't even like to go out to dinner.

What mysterious force drives us into the arms of one person, while pushing us away from another who might appear equally desirable to any unbiased observer?

Of the many factors influencing our idea of the perfect mate, one of the most telling, according to John Money, professor emeritus of medical psychology and pediatrics at Johns Hopkins University, is what he calls our "love map" -- a group of messages encoded in our brains that describes our likes and dislikes. It shows our preferences in hair and eye color, in voice, smell, and body build. It also records the kind of personality that appeals to us, whether it's the warm and friendly type or the strong, silent type.

In short, we fall for and pursue those people who most clearly fit our love map. And this love map is largely determined in childhood. By age eight, the pattern for our ideal mate has already begun to float around in our brains.

When I lecture, I often ask couples in the audience what drew them to their dates or mates. Answers range from "She's strong and independent" and "I go for redheads" to "I love his sense of humor" and "That crooked smile, that's what did it."

Robert Winch, a longtime sociology professor at Northwestern University, stated in his research that our choice of a marriage partner involves a number of social similarities. But he also maintained that we look for someone with complementary needs. A talker is attracted to someone who likes to listen, or an aggressive personality may seek out a more passive partner.

However, there are instances where people of different social backgrounds end up getting married and being extremely happy. I know of one man, a factory worker from a traditional Irish family in Chicago, who fell in love with an African American Baptist. When they got married, their friends and relatives predicted a quick failure. But 25 years later, the marriage is still strong.

It turns out that the woman was like her mother-in-law -- a loving and caring person, the type who rolls up her sleeves and volunteers to work at church or help out people in need. This is the quality that her husband fell for, and it made color and religion and any other social factors irrelevant to him.

Or as George Burns, who was Jewish and married the Irish Catholic Gracie Allen, used to say: his marriage was his favorite gig, even though it was Gracie who got all the laughs. The two of them did share certain social similarities -- both grew up in the city, in large but poor families. Yet what really drew them together was evident from the first time they went onstage together. They complemented each other perfectly: he was the straight man, and she delivered the punch lines.

There are certainly such "odd couples" who could scarcely be happier. We all know some drop-dead beautiful person married to an unusually plain wallflower. This is a trade-off some call the equity theory.

When men and women possess a particular asset, such as high intelligence, unusual beauty, a personality that makes others swoon, or a hefty bankroll that has the same effect, some decide to trade their assets for someone else's strong points. The raging beauty may trade her luster for the power and security that come with big bucks. The not-so-talented fellow from a good family may swap his pedigree for a poor but brilliantly talented mate.

Indeed, almost any combination can survive and thrive. Once, some neighbors of mine stopped by for a friendly social engagement. During the evening Robert, a man in his 50s, suddenly blurted out, "What would you say if your daughter planned to marry someone who has a ponytail and insisted on doing the cooking?"

"Unless your daughter loves cooking," I responded, "I'd say she was darn lucky."

"Exactly," his wife agreed. "It's really your problem, Robert -- that old macho thing rearing its head again. The point is, they're in love."

I tried to reassure Robert, pointing out that the young man their daughter had picked out seemed to be a relaxed, nonjudgmental sort of person -- a trait he shared with her own mother.

Is there such a thing as love at first sight? Why not? When people become love-struck, what happens in that instant is the couple probably discover a unique something they have in common. It could be something as mundane as they both were reading the same book or were born in the same town. At the same time they recognize some trait in the other that complements their own personality.

I happen to be one of those who were struck by the magic wand. On that fateful weekend, while I was a sophomore at Cornell University, I had a terrible cold and hesitated to join my family on vacation in the Catskill Mountains. Finally I decided anything would be better than sitting alone in my dormitory room.

That night as I was preparing to go to dinner, my sister rushed up the stairs and said, "When you walk into that dining room, you're going to meet the man you'll marry."

I think I said something like "Buzz off!" But my sister couldn't have been more right. I knew it from the moment I saw him, and the memory still gives me goose flesh. He was a premed student, also at Cornell, who incidentally also had a bad cold. I fell in love with Milton the instant I met him.

Milt and I were married for 39 years, until his death in 1989. And all that time we experienced a love that Erich Fromm called a "feeling of fusion, of oneness," even while we both continued to change, grow and fulfill our lives.

内容概要:本文介绍了一种利用元启发式算法(如粒子群优化,PSO)优化线性二次调节器(LQR)控制器加权矩阵的方法,专门针对复杂的四级倒立摆系统。传统的LQR控制器设计中,加权矩阵Q的选择往往依赖于经验和试错,而这种方法难以应对高维度非线性系统的复杂性。文中详细描述了如何将控制器参数优化问题转化为多维空间搜索问题,并通过MATLAB代码展示了具体实施步骤。关键点包括:构建非线性系统的动力学模型、设计适应度函数、采用对数缩放技术避免局部最优、以及通过实验验证优化效果。结果显示,相比传统方法,PSO优化后的LQR控制器不仅提高了稳定性,还显著减少了最大控制力,同时缩短了稳定时间。 适合人群:控制系统研究人员、自动化工程专业学生、从事机器人控制或高级控制算法开发的技术人员。 使用场景及目标:适用于需要精确控制高度动态和不确定性的机械系统,特别是在处理多自由度、强耦合特性的情况下。目标是通过引入智能化的参数寻优手段,改善现有控制策略的效果,降低人为干预的需求,提高系统的鲁棒性和性能。 其他说明:文章强调了在实际应用中应注意的问题,如避免过拟合、考虑硬件限制等,并提出了未来研究方向,例如探索非对角Q矩阵的可能性。此外,还分享了一些实践经验,如如何处理高频抖动现象,以及如何结合不同类型的元启发式算法以获得更好的优化结果。
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