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An example of jumping to conclusions is when one makes assumptions about what someone else is going to say, often by cutting them off with the words "I know what you're going to say". Saying things like "wow, geez, and what a shame" can make one come across as more interested in looking supportive than what the other person is saying. Therefore ...
Asunción, the Spanish word; Axiom; Assumption Cathedral (disambiguation) Church of the Assumption (disambiguation) Debt Assumption, the US policy under Alexander Hamilton to assume the war debt of some states; Entering heaven alive; L'Assomption River, Quebec, Canada; List of churches consecrated to Santa Maria Assunta ("Assunta" is the ...
For example, when getting to know others, people tend to ask leading questions which seem biased towards confirming their assumptions about the person. However, this kind of confirmation bias has also been argued to be an example of social skill; a way to establish a connection with the other person. [9]
It is unclear if the word-learning constraints are specific to the domain of language, or if they apply to other cognitive domains. Evidence suggests that the whole object assumption is a result of an object's tangibility; children assume a label refers to a whole object because the object is more salient than its properties or functions. [7]
An axiom, postulate, or assumption is a statement that is taken to be true, to serve as a premise or starting point for further reasoning and arguments. The word comes from the Ancient Greek word ἀξίωμα ( axíōma ), meaning 'that which is thought worthy or fit' or 'that which commends itself as evident'.
A ceteris paribus assumption is often key to scientific inquiry, because scientists seek to eliminate factors that perturb a relation of interest. [3] Thus epidemiologists , for example, may seek to control independent variables as factors that may influence dependent variables —the outcomes of interest. [ 4 ]
Statistical assumptions can be put into two classes, depending upon which approach to inference is used. Model-based assumptions. These include the following three types: Distributional assumptions. Where a statistical model involves terms relating to random errors, assumptions may be made about the probability distribution of these errors. [5]
In the context of knowledge management, the closed-world assumption is used in at least two situations: (1) when the knowledge base is known to be complete (e.g., a corporate database containing records for every employee), and (2) when the knowledge base is known to be incomplete but a "best" definite answer must be derived from incomplete information.