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Temporal discounting (also known as delay discounting, time discounting) [12] is the tendency of people to discount rewards as they approach a temporal horizon in the future or the past (i.e., become so distant in time that they cease to be valuable or to have addictive effects). To put it another way, it is a tendency to give greater value to ...
Learning disability, learning disorder, or learning difficulty (British English) is a condition in the brain that causes difficulties comprehending or processing information and can be caused by several different factors. Given the "difficulty learning in a typical manner", this does not exclude the ability to learn in a different manner.
The pragmatic factor usually results in a "pure time preference" factor in the social discount rate, that a pleasurable experience at a certain date is intrinsically more valuable than the exact same experience at a later date, and that the life of a person born sooner has more intrinsic value than the life of a person born later.
Time discounting, which is separate from the age-weighting function, describes preferences in time as used in economic models. [17] The effects of the interplay between life expectancy and years lost, discounting, and social weighting are complex, depending on the severity and duration of illness.
Developmental disability is a diverse group of chronic conditions, comprising mental or physical impairments that arise before adulthood. Developmental disabilities cause individuals living with them many difficulties in certain areas of life, especially in "language, mobility, learning, self-help, and independent living". [1]
The following is a list of terms, used to describe disabilities or people with disabilities, which may carry negative connotations or be offensive to people with or without disabilities. Some people consider it best to use person-first language, for example "a person with a disability" rather than "a disabled person."
Preference learning is a subfield of machine learning that focuses on modeling and predicting preferences based on observed preference information. [1] Preference learning typically involves supervised learning using datasets of pairwise preference comparisons, rankings, or other preference information.
An eligible student is any child in the U.S. between the ages of 3–21 attending a public school and has been evaluated as having a need in the form of a specific learning disability, autism, emotional disturbance, other health impairments, intellectual disability, orthopedic impairment, multiple disabilities, hearing impairments, deafness ...