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Have you ever wondered what our future is like Practically all people (1) a desire to predict their future (2) . Most people seem inclined to (3) this task using causal reasoning. First, we (4) recognize that future circumstances are (5) caused or conditioned by present ones. We learn that getting an education will (6) how much money we earn later and that swimming beyond the reef may bring an unhappy (7) with a shark. Second, people also learn that such (8) of cause and effect are probabilistic (概率的，可能的) in nature. That is, the effects occur more often when the causes occur than when the causes are (9) , but not always. Thus, students learn that studying hard (10) good grades in most instances, but not every time. Science makes these concepts of causality and probability more (11) and provides techniques for dealing (12) then more accurately than does causal human inquiry. In looking at ordinary human inquiry, we need to (13) between prediction and understanding. Often, even if we don’t understand why, we are willing to act (14) the basis of a demonstrated predictive ability. Whatever the primitive drives (15) motivate human beings, satisfying them depends heavily on the ability to (16) future circumstances. The attempt to predict is often played in a (17) of knowledge and understanding. If you can understand why certain regular patterns (18) , you can predict better than if you simply observe those patterns. Thus, human inquiry aims (19) answering both "what" and "why" question, and we pursue these (20) by observing and figuring out.
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Have you ever wondered what our future is like Practically all people (1) a desire to predict their future (2) . Most people seem inclined to (3) this task using causal reasoning. First, we (4) recognize that future circumstances are (5) caused or conditioned by present ones. We learn that getting an education will (6) how much money we earn later and that swimming beyond the reef may bring an unhappy (7) with a shark. Second, people also learn that such (8) of cause and effect are probabilistic (概率的，可能的) in nature. That is, the effects occur more often when the causes occur than when the causes are (9) , but not always. Thus, students learn that studying hard (10) good grades in most instances, but not every time. Science makes these concepts of causality and probability more (11) and provides techniques for dealing (12) then more accurately than does causal human inquiry. In looking at ordinary human inquiry, we need to (13) between prediction and understanding. Often, even if we don’t understand why, we are willing to act (14) the basis of a demonstrated predictive ability. Whatever the primitive drives (15) motivate human beings, satisfying them depends heavily on the ability to (16) future circumstances. The attempt to predict is often played in a (17) of knowledge and understanding. If you can understand why certain regular patterns (18) , you can predict better than if you simply observe those patterns. Thus, human inquiry aims (19) answering both "what" and "why" question, and we pursue these (20) by observing and figuring out.
According to BT’s futurologist, Ian Pearson, these are among the developments scheduled for the first few decades of the new millennium (a period of 1,000 years ), when supercomputers will dramatically accelerate progress in all areas of life. Pearson has (1) together the work of hundreds of researchers around the world to produce a (2) millennium technology calendar that gives the latest dates when we can expect hundreds of key (3) and discoveries to take place. Some of the biggest developments will be in medicine, including an (4) life expectancy and dozens of artificial organs (5) into use between now and 2040. Pearson also (6) a breakthrough in computer-human links. "By linking (7) to our nervous system, computers could pick up (8) we feel and, hopefully, simulate (9) too so that we can start to (10) full sensory environments, rather like the holidays in Total Recall or the Star Trek holodeck," he says. But that, Pearson points (11) , is only the start of man-machine (12) : "It will be the beginning of the long process of integration that will (13) lead to a fully electronic human before the end of the next century." (14) his research, Pearson is able to put dates to most of the breakthroughs that can be predicted. However, there are still no (15) for when faster-than-light travel will be (16) , or when human cloning will be perfected, or when time travel will be possible. But he does (17) social problems as a result of technological advances. A boom in neighborhood surveillance (监视) cameras will, for example, (18) problems in 2010, while the arrival of synthetic (19) robots will mean people may not be able to (20) between their human friends and the droids (机器人). And home appliances will also become so smart that controlling and operating them will result in the breakout of a new psychological disorder—kitchen rage.
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