Aging, attention, and intelligence.

The objective of this study was to investigate whether (a) it is possible to identify attention factors (eg, flow intelligence, crystallization intelligence, short term acquisition and search function) different from the established capacity factor, and (b) It can be decided using it. Whether there is the ability to pay attention to changes in fluidity and crystalline intelligence occurring with age. 36 tests (19 psychological tests and 17 attention measurements) were conducted for 100 subjects. As a result, it was found that there are three attention elements in the main competence level, search, concentration, and flexibility of attention, all three elements define the level of fluid intelligence. . The results also show that the drop in fluid intelligence disappears with age if attention factors are segregated. Likewise, if the attention process is controlled, the increase in crystal intelligence will increase with age. My conclusion is that the change in attention process plays an important role in the change of age of human intelligence.

But as Tom Koulopoulos reminds us, we are not merely intelligent, we can not define intelligence in other ways. In the era of technology, science, reason, we have not even begun to understand subconscious mind and we are not so worried about subconsciousness. But, just as we know it, just like our intellectual existence. Rather than seeing changes in human behavior and value definitions, ignoring these aspects makes it impossible to predict what artificial intelligence will become. This also accepts that our wisdom is its essence and will not be able to predict whether it eventually has "collective will" to "forgive" more. . We believe that this horror and the human suffering have contributed to the joint efforts to warn and think about the dangers of artificial intelligence by invisible first - rate scientists and entrepreneurs.

Over the past four years I have focused on predicting the success of startup with collective intelligence and artificial intelligence. Several pieces of the journey can be traced back to Recipio and Informative for decades and we use collective information to predict the media rating or product success (eg NBC, P & G , LEGO). In this article I will explain the progress of using collective intelligence and artificial intelligence to build a new approach to initial investment. The foundation of the CrowdSmart method is Bayesian learning. Let's say you have heard of new startups in the area of ​​knowledge. A friend asks about your chances of success, or about ROI. If you know the area, you can get a successful estimate (probability) based on the story. Bayesian learning is a rigorous and rigorous way to correct beliefs and knowledge based on new data.

Usually we refer to intelligence as "crystal" or "flow". Fluid intelligence is roughly converted to "new learning". That is, it includes caution, working memory, memory, understanding, language, and many other cognitive factors. From the late 1960s to the early 1970s there is a tendency to see an age-related depression (not dementia) where men were older than women. However, this does not mean that older patients can not learn newly, it is inefficient. Since the intelligence of crystallization is roughly transformed into wisdom and is related to activities such as quick judgment and decision making, experience provides a way to acquire experience and heuristics, speeding up the cognitive process. Clearly, the longer a person lives, the more they gain experience in making a quick decision. However, this is not a difficult rule as cognition also decreases with age.