First Blog

The Challenges of Complexity in the Future The emergence of a new class of problems - complexity - poses significant challenges for future science and just about everything else knowledge-based. These problems are characterized by their inherent difficulty and the multitude of possible solutions, none of which can be guaranteed to be correct or optimal. When a system reaches a certain level of complexity, it becomes possible to discern any pattern one chooses to see. Furthermore, these patterns can be convincingly proven through both data and analysis. For instance, economists and social scientists can derive different, yet provable, patterns within the economy and human cultures, leading to vastly different predictions. This multitude of solutions renders the problems of complexity seemingly impossible to solve definitively. Artificial Intelligence (AI) will likely exacerbate this issue. With access to comprehensive knowledge, AI systems will identify even more patterns, guided

  Can We Ever Solve Every Problem? G Donald Allen Introduction. The fundamental problem of this section is to consider reasons why we have not yet reached the point in human evolution where we can solve all of our problems. This seems to have a popular origin in the Sherlock Holmes film, “Dressed to Kill [1] ,” where Dr. Watson, expresses the notion, “There is not a problem the mind can set that the mind cannot solve.” In the next section, we show quite the opposite. Some of the greatest of unsolvable problems are related to brain capacity, evolution, conceptuality, prediction, scale, vagueness, complexity, and more. These present roadblocks to problem-solving, and form the background for many almost unsolvable problems. There are multiple reasons, by no means the smallest class of them being the so-called impossible problems to be considered in another chapter. As well, we need to discuss further methodologies for solutions to come in the next chapter. Here are a few examples,

A question has been put forth as to whether there is some system(s) in this universe more complex than the human mind.  The particular construct one author proposed is "Knowledge Management," whatever that is.  With the recent popularity of data mining, we can surely conceive of objects involving data far more complex that is the human brain.  But it is the human brain that provides the guidance for data mining, and for determining findings.  So, data mining is out of contention as more complex than the brain.The trick will be getting outside of the brain, and herein lies the problem. Let's go general... To consider the complexity of the universe vs. the complexity of the human brain leads us to a paradox of sorts.  First, we have the universe and all its machinations.  Then we have the human brain, and all it can conceive.  However, for us and to us, the complexity of the universe,is in complete concordance with the complexity of the human brain.  We cannot conceive