Uncertainty: Difference between revisions

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'''Uncertainty''' is a state of having limited knowledge where it is impossible to exactly describe the existing state, a future outcome, or more than one possible outcome. In [[philosophy]], uncertainty is the expression of the unknown and is associated with [[information theory]], [[probability]], and other areas.
{{Short description|Concept of uncertainty in various fields}}
{{Use dmy dates|date=October 2023}}


== Definition ==
'''Uncertainty''' refers to situations involving imperfect or unknown information. It applies to predictions of future events, to physical measurements that are already made, or to the unknown. Uncertainty arises in partially observable or stochastic environments, as well as due to ignorance, indeterminacy, or lack of knowledge.
Uncertainty refers to epistemic situations involving imperfect or unknown information. It applies to predictions of future events, to physical measurements that are already made, or to the unknown. Uncertainty arises in partially observable and/or stochastic environments, as well as due to ignorance, indolence, or both. It arises in any number of fields, including [[insurance]], [[philosophy]], [[physics]], [[statistics]], [[economics]], [[finance]], [[psychology]], [[sociology]], and [[information science]].


== Types of Uncertainty ==
==Types of Uncertainty==
Uncertainty can be classified into three types: aleatory uncertainty, epistemic uncertainty, and ontological uncertainty.
Uncertainty can be classified into different types based on its nature and source:


=== Aleatory Uncertainty ===
===Aleatory Uncertainty===
Aleatory uncertainty, or statistical uncertainty, is associated with inherent variation or randomness in the data. It is irreducible and can be characterized by a probability distribution.
Aleatory uncertainty, also known as statistical uncertainty, is due to inherent randomness or variability in a system. It is often modeled using probability distributions.


=== Epistemic Uncertainty ===
===Epistemic Uncertainty===
Epistemic uncertainty, or systematic uncertainty, is due to things one could in principle know but doesn't in practice. It can be reduced by more research or gathering more data.
Epistemic uncertainty arises from a lack of knowledge or information about a system. It can often be reduced by gathering more data or improving the model.


=== Ontological Uncertainty ===
==Uncertainty in Science==
Ontological uncertainty is due to the inability to conceptualize all the relevant entities and relationships among them.
In scientific research, uncertainty is a critical component of data analysis and interpretation. Scientists use statistical methods to quantify uncertainty and to make informed decisions based on incomplete information.


== Uncertainty in Different Fields ==
===Measurement Uncertainty===
Uncertainty plays a key role in various fields, including [[physics]], [[economics]], [[finance]], and [[psychology]].
Measurement uncertainty is the doubt that exists about the result of any measurement. It is expressed as a range within which the true value is asserted to lie with a certain level of confidence.


=== Uncertainty in Physics ===
===Uncertainty in Physics===
In [[physics]], the Heisenberg uncertainty principle forms a fundamental limit on the accuracy with which certain pairs of physical properties can be simultaneously known.
In physics, the concept of uncertainty is famously encapsulated in [[Heisenberg's uncertainty principle]], which states that certain pairs of physical properties, like position and momentum, cannot both be known to arbitrary precision.


=== Uncertainty in Economics and Finance ===
==Uncertainty in Economics==
In [[economics]] and [[finance]], uncertainty is often modeled using stochastic processes or other probabilistic methods.
In economics, uncertainty is a key factor in decision-making processes. It affects consumer behavior, investment decisions, and policy-making.


=== Uncertainty in Psychology ===
===Risk vs. Uncertainty===
In [[psychology]], uncertainty can be real, or just a perception, and it can be disabling or enabling.
Economists distinguish between risk, which can be quantified and managed, and uncertainty, which is unquantifiable and unpredictable.


== See Also ==
==Uncertainty in Decision Making==
* [[Risk]]
Decision-making under uncertainty involves choosing actions based on incomplete information. Various models and frameworks, such as decision trees and Bayesian inference, are used to handle uncertainty in decision-making processes.
* [[Ambiguity]]
 
==Related pages==
* [[Risk management]]
* [[Probability theory]]
* [[Probability theory]]
* [[Information theory]]
* [[Heisenberg's uncertainty principle]]
* [[Heisenberg uncertainty principle]]
 
[[File:Blank_Fork.png|thumb|right|Uncertainty can lead to multiple possible outcomes.]]
[[File:Uncertainty.svg|thumb|right|Graphical representation of uncertainty.]]


[[Category:Concepts in epistemology]]
[[Category:Concepts in metaphysics]]
[[Category:Concepts in physics]]
[[Category:Concepts in economics]]
[[Category:Concepts in psychology]]
[[Category:Uncertainty]]
[[Category:Uncertainty]]
 
[[Category:Philosophy of science]]
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[[Category:Probability and statistics]]
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Latest revision as of 01:53, 17 February 2025

Concept of uncertainty in various fields



Uncertainty refers to situations involving imperfect or unknown information. It applies to predictions of future events, to physical measurements that are already made, or to the unknown. Uncertainty arises in partially observable or stochastic environments, as well as due to ignorance, indeterminacy, or lack of knowledge.

Types of Uncertainty[edit]

Uncertainty can be classified into different types based on its nature and source:

Aleatory Uncertainty[edit]

Aleatory uncertainty, also known as statistical uncertainty, is due to inherent randomness or variability in a system. It is often modeled using probability distributions.

Epistemic Uncertainty[edit]

Epistemic uncertainty arises from a lack of knowledge or information about a system. It can often be reduced by gathering more data or improving the model.

Uncertainty in Science[edit]

In scientific research, uncertainty is a critical component of data analysis and interpretation. Scientists use statistical methods to quantify uncertainty and to make informed decisions based on incomplete information.

Measurement Uncertainty[edit]

Measurement uncertainty is the doubt that exists about the result of any measurement. It is expressed as a range within which the true value is asserted to lie with a certain level of confidence.

Uncertainty in Physics[edit]

In physics, the concept of uncertainty is famously encapsulated in Heisenberg's uncertainty principle, which states that certain pairs of physical properties, like position and momentum, cannot both be known to arbitrary precision.

Uncertainty in Economics[edit]

In economics, uncertainty is a key factor in decision-making processes. It affects consumer behavior, investment decisions, and policy-making.

Risk vs. Uncertainty[edit]

Economists distinguish between risk, which can be quantified and managed, and uncertainty, which is unquantifiable and unpredictable.

Uncertainty in Decision Making[edit]

Decision-making under uncertainty involves choosing actions based on incomplete information. Various models and frameworks, such as decision trees and Bayesian inference, are used to handle uncertainty in decision-making processes.

Related pages[edit]

Uncertainty can lead to multiple possible outcomes.
Graphical representation of uncertainty.