Heuristic Guide, Meaning , Facts, Information and Description
- For heuristics in computer science, see Heuristic (computer science)
The mathematician George Polya popularised heuristics in the twentieth century in his book How to Solve It. He was motivated by his experiences in Mathematics education where students are taught mathematical proofs, without learning techniques to formulate proofs themselves. How to Solve It is a collection of ideas about heuristics that he taught to math students: ways of looking at problems and casting about for solutions that often give results very quickly.
| Table of contents |
|
2 Philosophy 3 Law 4 Computer Science 5 See also 6 External links 7 Further reading |
In psychology, heuristics are simple, efficient rules of thumb which have been proposed to explain how people make decisions, come to judgments and solve problems, typically when facing complex problems or incomplete information. These rules work well under most circumstances, but in certain cases lead to systematic cognitive biases.
For instance, people may tend to perceive more expensive beers as tasting better than inexpensive ones. This finding holds even when prices and brands are switched; putting the high price on the normally relatively inexpensive brand is enough to lead experimental participants to perceive that beer as tasting better than the beer that is normally relatively expensive. One might call this "price implies quality" bias.
Much of the work of discovering heuristics in human decision makers was ignited by Amos Tversky and Daniel Kahneman, who shared an important influence on behavioral finance. Critics led by Gerd Gigerenzer focus on how heuristics can be used to make principally accurate judgments rather than producing cognitive biases — heuristics that are "fast and frugal".
Well-known:
In philosophy, especially in its Continental European kind, the adjective "heuristic" (or the designation "heuristic device") is used when an entity X is there to understand or to find out about some other entity Y, with which X is not identical. A good example is a model, which, as it is never identical with whatever it models, is a heuristic device to understand the latter. Stories, metaphors, etc., can also be termed heuristics in that sense. A classic example is the notion of utopia as described in Plato's best-known work, Politeia.This means that the purpose of the "ideal city" as depicted in the Politeia is not to be pursued or to present an orientation-point for development, but rather, that it shows how things would have to be connected, and how one thing would lead to another - often with highly problematic results, if one would opt for certain principles and carry them through rigorously.
In legal theory, especially that of law and economics, heuristics are used in the law when case-by-case analysis would be impractical.
For instance, in the United States the legal drinking age is 21, because it is argued that people need to be mature enough to make decisions involving the risks of alcohol consumption. However, assuming people mature at different rates, the specific age of 21 would be too late for some and too early for others. In this case, the somewhat arbitrary deadline is used because it is impossible or impractical to tell whether one individual is mature enough that society can trust them with that kind of responsibility.
The same reasoning applies to patent law. Patents are justified on the grounds that inventors need to be protected in order to have incentive to invent (or else suffer the tragedy of the commons if anyone could use their idea). So, it is argued that it is in the best interest of society to issue inventors a temporary government-granted monopoly on their product so they can recoup their investment costs and make economic profit for a limited period of time. In the United States the length of this temporary monopoly is 20 years plus the amount of time the patent pending entailed. However, like the drinking age problem above, the specific length of time would need to be different for every product in order to be efficient, but the 20-year number is used because it is difficult to tell what the number should be for any individual patent. More recently, some including Lawrence Lessig have argued that patents in different kinds of industries such as software patents should be protected for different lengths of time.
In computer science, a heuristic is a technique
designed to solve a problem that ignores whether the solution is provably correct, but which usually produces a good solution or solves a simpler problem that contains or intersects with the solution of the more complex problem.
Heuristics are intended to gain computational performance or conceptual simplicity potentially at the cost of accuracy or precision.
This is an Article on Heuristic. Page Contains Information, Facts Details or Explanation Guide About Heuristic Psychology
Theorized psychological heuristics
Philosophy
Law
Computer Science
Main article Heuristic (computer science)See also
External links
Further reading