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Smart materials, also called intelligent or responsive materials, [1] [page needed] are designed materials that have one or more properties that can be significantly changed in a controlled fashion by external stimuli, such as stress, moisture, electric or magnetic fields, light, temperature, pH, or chemical compounds.
[6] Adaptive management in a conservation project and program context can trace its roots back to at least the early 1990s, with the establishment of the Biodiversity Support Program (BSP) [7] in 1989. BSP was a USAID-funded consortium of WWF [8] The Nature Conservancy (TNC), [9] and World Resources Institute (WRI). [10]
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Adaptive reuse is defined as the aesthetic process that adapts buildings for new uses while retaining their historic features. Using an adaptive reuse model can prolong a building's life, from cradle-to-grave, by retaining all or most of the building system, including the structure, the shell and even the interior materials. [6]
Adaptive learning, also known as adaptive teaching, is an educational method which uses computer algorithms as well as artificial intelligence to orchestrate the interaction with the learner and deliver customized resources and learning activities to address the unique needs of each learner. [1]
The adaptive unconscious is affected by things like emotional reaction, estimations, and experience and is thus inclined to stereotyping and schema which can lead to inaccuracy in decision making. The adaptive conscious does however help decision making to eliminate cognitive biases such as prejudice because of its lack of cognitive tools.
In education, adaptive behavior is defined as that which (1) meets the needs of the community of stakeholders (parents, teachers, peers, and later employers) and (2) meets the needs of the learner, now and in the future. Specifically, these behaviors include such things as effective speech, self-help, using money, cooking, and reading, for example.
Adaptive control is the control method used by a controller which must adapt to a controlled system with parameters which vary, or are initially uncertain. [1] [2] For example, as an aircraft flies, its mass will slowly decrease as a result of fuel consumption; a control law is needed that adapts itself to such changing conditions.