Intuition, human

Cumulative Evidence. LT does not mirror human intuition about accumulation of evidence. Generally if one has more pieces of orthogonal evidence which support a deduction, then there is more reason to believe that the deduction is true. However, this is not the case with LT logic. For example, consider the following. 

Retrograde condensation is an example of phenomena that sometimes occur in science that appear to defy human intuition. To quote from M. L. McGlashan... 

Comparing human intuition relative to an electronic system provides another direct example of vahdation. In this case one of the authors (GEM) compared his intuitive estimates of the chemical shifts for model compound, 5, vs. those available from the NNMR v8.08 prediction program. The values are compared in Table 1. 

Dreyfus, H. L. and Dreyfus, S. E. Mind Over Machine The Power of Human Intuition and Expertise in the Era of the Computer, Free Press, New York, 1986. 

While, in this way, natural organic polymers literally dominated the existence and welfare of all nations, virtually nothing was known about their composition and structure. In each sector - food, clothing, transportation, communication, housing, and art - highly sophisticated craftsmanship developed which was sparked by human intuition, creativity, zeal, and patience and led to accomplishments which deserve the highest admiration of generations to come. 

These are general requirements for a distance measure that meets the human intuition for distances, for example when observing impedance spectra in Nyquist plots. 

So, at the end of the day, even with the computing power available today, it is impossible to use a totally dispassionate computational approach to retrosynthetic design. Human intuition, predilection... 

Hazard identification requires the identification of hazards, unsafe conditions, and risky behaviors. Hazard anticipation relies on human intuition, training, common sense, observation, and continuous awareness. To identify hazards, rely on the use of inspections, surveys, analysis, and human recognition reporting. Hazard identification efforts should focus on unsafe conditions, hazards, broken equipment, and human deviations from accepted practices. Require supervisors or unit safety coordinators to conduct periodic area inspections. These individuals should understand hazardous areas and the workers better than anyone. However, supervisors can fall prey to inspection bias, which results in poor survey results. Many supervisors conduct limited ongoing inspections... 

Keep in mind that none of these tools is foolproof. Forecasts are virtually always inaccurate. A good IT system should help track historical forecast errors so they can be incorporated into future decisions. A well-structured forecast, along with a measure of error, can significantly improve decision making. Even with aU these sophisticated tools, sometimes it is better to rely on human intuition in forecasting. One of the pitfalls of these IT tools is relying on them too much, which eliminates the human element in forecasting. Use the forecasts and the value they deliver, but remember that they cannot assess some of the more qualitative aspects about future demand that you may be able to do on your own. 

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