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In the life sciences the term adaptability is used variously. At one end of the spectrum, the ordinary meaning of the word suffices for understanding. At the other end, there is the term as introduced by Conrad, [3] referring to a particular information entropy measure of the biota of an ecosystem, or of any subsystem of the biota, such as a population of a single species, a single individual ...
The species shows considerable adaptability to different environmental conditions, with its appearance varying notably depending on whether it grows on soil or rock, in direct or indirect light, and in high or low humidity environments.
Adaptive capacity confers resilience to perturbation, giving ecological and human social systems the ability to reconfigure themselves with minimum loss of function.In ecological systems, this resilience shows as net primary productivity and maintenance of biomass and biodiversity, and the stability of hydrological cycles.
Since then, the need to make robots with new forms of actuation, adaptability, sensing and perception, and even the ability to learn stemmed the field of adaptable robotics. Significant developments such as the PUMA robot, manipulation research, soft robotics , swarm robotics , AI , cobots , bio-inspired approaches, and more ongoing research ...
This scale, the Job Adaptability Inventory (JAI), contains 132 questions (15 – 18 questions per dimension). Another similar tool is the I-ADAPT measure (I-ADAPT-M) developed by Ployhart and Bliese, [ 3 ] based on their I-ADAPT theory.
Something of a misnomer, because the thing that adapts is the working system, rather than the (more abstract) architecture which defines the adaptability that is required of that system. Adaptive software architecture: Used by programmers in relation to a program.
Adaptability refers to users that can substantially customise the system through tailoring activities by themselves, i.e. an adaptable system. Adaptive and adaptable systems are complementary to each other. [3] Both methods increase the match between user needs and system behaviour once the development of the system has been finished.