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Heuristics

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Occam's razor
philosophical principle used to judge credibility of statements
heuristic
A heuristic or heuristic technique (problem solving, mental shortcut, rule of thumb) is any approach to problem solving that employs a pragmatic method that is not fully optimized, perfected, or rationalized, but is nevertheless "good enough" as an approximation or attribute substitution. Where finding an optimal solution is impossible or impractical, heuristic methods can be used to speed up the process of finding a satisfactory solution. Heuristics can be mental shortcuts that ease the cognitive load of making a decision.
forensic science
application of science to criminal and civil laws
trial and error
fundamental method of problem-solving, characterized by repeated, varied attempts which are continued until success, or until the practicer stops trying
scientific consensus
collective judgment, position, and opinion of the community of scientists in a particular field of study
anchoring
an effect where an individual depends too heavily on an initial piece of information when making decisions
Hitchens' razor
Epistemological razor regarding the burden of proof
duck test
making sure a classifier is based on observables instead of expediency or arbitrariness
availability heuristic
tendency and mental shortcut of preferring an item with more available information
Thinking, Fast and Slow
2011 non-fiction work by Daniel Kahneman
money illusion
cognitive bias to think of money in nominal, rather than real, terms
Representativeness heuristic
tool for assisting judgement in uncertainty
principle of least astonishment
principle in computer system design
How to Solve It
book about problem solving
affect heuristic
type of heuristic in which emotional response, or "affect" in psychological terms, plays a lead role
satisficing
Satisficing is a decision-making strategy or cognitive heuristic that entails searching through the available alternatives until an acceptability threshold is met, without necessarily maximizing any specific objective. The term satisficing, a portmanteau of satisfy and suffice, was introduced by Herbert A. Simon in 1956, although the concept was first posited in his 1947 book Administrative Behavior. Simon used satisficing to explain the behavior of decision makers under circumstances in which an optimal solution cannot be determined. He maintained that many natural problems are characterized
zero-sum thinking
cognitive bias of assuming the situation is a zero-sum game
cognitive inertia
tendency of belief by a person or groups of beliefs once it's formed or form. tendency of following a particular assumption
lectio difficilior potior
principle of textual criticism
heuristics in judgment and decision making
simple strategies, rules or mental processes involved in making quick judgments or decisions
rosy retrospection
tendency to view past events in a positive (often unrealistic) light
Baconian method
The modern scientific method based on analysis and induction was created by Francis Bacon.
admissible heuristic
heuristic that never overestimates the cost of reaching the goal, i.e. the cost it estimates to reach the goal is not higher than the lowest possible cost from the current point in the path
Peak–end rule
psychological heuristic
evaluation function
function returning estimated value of a position in a game playing program
multiple discovery
hypothesis about scientific discoveries and inventions
Pollen calendar
record of pollen rates over a year
The purpose of a system is what it does
systems thinking heuristic
Fast-and-frugal trees
Decision-making Concept in Psychology
Eurisko
Eurisko (Gr., I discover) is a discovery system written by Douglas Lenat in RLL-1, a representation language itself written in the Lisp programming language. A sequel to Automated Mathematician, it consists of heuristics, i.e. rules of thumb, including heuristics describing how to use and change its own heuristics. Lenat was frustrated by Automated Mathematician's constraint to a single domain and so developed Eurisko; his frustration with the effort of encoding domain knowledge for Eurisko led to Lenat's subsequent development of Cyc. Lenat envisioned ultimately coupling the Cyc knowledge bas
fudge factor
ad hoc element introduced into a calculation
debiasing
Debiasing is the reduction of bias, particularly with respect to judgment and decision making. Biased judgment and decision making is that which systematically deviates from the prescriptions of objective standards such as facts, logic, and rational behavior or prescriptive norms. Biased judgment and decision making exists in consequential domains such as medicine, law, policy, and business, as well as in everyday life. Investors, for example, tend to exhibit the disposition effect by holding onto falling stocks too long and selling rising stocks too quickly. Employers exhibit considerable dis
Meta-optimization
thumb|Meta-optimization concept. Meta-optimization from numerical optimization is the use of one optimization method to tune another optimization method. Meta-optimization is reported to have been used as early as in the late 1970s by Mercer and Sampson for finding optimal parameter settings of a genetic algorithm.
Littlewood's three principles of real analysis
heuristics in measure theory
Heuristic-systematic model of information processing
dual process theory of persuasion
reversal test
heuristic designed to spot and eliminate status quo bias
cross-entropy method
Monte Carlo method for importance sampling and optimization
Sutton's law
"first consider the obvious"
Null-move heuristic