By Jett Alcock at September 11 2018 12:25:26
Process definitions are high level descriptions instead of rigid workflows : Processes can only be defined up to a certain level of detail, and it is difficult to provide low level work instructions or to automate decisions. Because they cannot be formalised in detail, process simulation is rarely possible. Decisions are highly subjective and too complex to be expressed in a formal language, as they are taken based on intuition and not on rigid business rules.
Knowledge workers carry out these processes by taking into account multiple inputs (generally a wide set of unstructured data and information) to perform difficult tasks and make complex decisions among multiple possible ways of doing the work, each one implying different levels of risk and possible benefits. They are dependent on individuals and it is not possible to automate them. One example of a knowledge process is "Marketing a new product". The same steps are followed each time a new product is launched (benchmarking competitors, deciding pricing strategy, planning promotion, etc...), but it is the experience, knowledge and intuition of the people that drive the process to success.
So here's a mind-blowingly simple technique to get your ex back: make it look as if you don't care anymore! You see, if you appear too desperate to get your ex back, you put them in the power position. You put them on a pedestal so high and mighty that no one else can touch it. This gives them a tremendous amount of power over you. It gives them a tremendous feeling of overblown self importance. Dale Carnegie once wrote that the most fundamental desire of humans is the desire to feel imported. It is what separates us from the animals. But by making another person feel too important, you can turn them into a tyrant. You feed their ego so much that it becomes overblown. It swells up like a giant hot air balloon!
Current research in information processing deals with programs that enable a computer to understand written or spoken information and to produce summaries, answer specific questions, or redistribute information to users interested in specific areas of this information. Essential to such programs is the ability of the system to generate grammatically correct sentences and to establish linkages between words, ideas, and associations with other ideas. Research has shown that whereas the logic of language structure-its syntax-submits to programming, the problem of meaning, or semantics, lies far deeper, in the direction of true AI.