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In English, TRIZ is typically rendered as the theory of inventive problem solving. [3] [4] TRIZ developed from a foundation of research into hundreds of thousands of inventions in many fields to produce an approach which defines patterns in inventive solutions and the characteristics of the problems these inventions have overcome. [5]
Problem solving is the process of achieving a goal by overcoming obstacles, a frequent part of most activities. Problems in need of solutions range from simple personal tasks (e.g. how to turn on an appliance) to complex issues in business and technical fields.
Translational research is aimed at solving particular problems; the term has been used most commonly in life sciences and biotechnology, but applies across the spectrum of science and humanities. [ citation needed ]
Decomposition methods work by grouping variables into sets, and solving a subproblem for each set. These translations are done because solving binary acyclic problems is a tractable problem. Each structural restriction defined a measure of complexity of solving the problem after conversion; this measure is called width. Fixing a maximal allowed ...
Russian inventor Genrich Altshuller developed an elaborate set of methods for problem solving known as TRIZ, which in many aspects reproduces or parallels Pólya's work. How to Solve it by Computer is a computer science book by R. G. Dromey . [ 29 ]
Shannon's diagram of a general communications system, showing the process by which a message sent becomes the message received (possibly corrupted by noise). seq2seq is an approach to machine translation (or more generally, sequence transduction) with roots in information theory, where communication is understood as an encode-transmit-decode process, and machine translation can be studied as a ...
To learn e.g. the translation model, however, we need to know which words align in a source-target sentence pair. The IBM-Models or the HMM-approach were attempts at solving this challenge. Function words that have no clear equivalent in the target language are another issue for the statistical models.
Lateral thinking is a manner of solving problems using an indirect and creative approach via reasoning that is not immediately obvious. Synonymous to thinking outside the box , it involves ideas that may not be obtainable using only traditional step-by-step logic . [ 1 ]