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A complex adaptive system is a system that is complex in that it is a dynamic network of interactions, but the behavior of the ensemble may not be predictable according to the behavior of the components.
A complex system is a system composed of many components which may interact with each other. [1] Examples of complex systems are Earth's global climate, organisms, the human brain, infrastructure such as power grid, transportation or communication systems, complex software and electronic systems, social and economic organizations (like cities), an ecosystem, a living cell, and, ultimately, for ...
A complex adaptive healthcare system (CAHS) is a care delivery enterprise with diverse clinical and administrative agents acting spontaneously, interacting in nonlinear networks where agents and patients are information processors, and actively co-evolve with their environment with the purposed to produce safe and reliable patient-centered outcomes.
An adaptive system is a set of interacting or interdependent entities, real or abstract, forming an integrated whole that together are able to respond to environmental changes or changes in the interacting parts, in a way analogous to either continuous physiological homeostasis or evolutionary adaptation in biology.
A complex adaptive system has some or all of the following attributes: [5] The number of parts (and types of parts) in the system and the number of relations between the parts is non-trivial – however, there is no general rule to separate "trivial" from "non-trivial"; The system has memory or includes feedback;
In a CAS, the system and the agents co-evolve; the system lightly constrains agent behavior, but the agents modify the system by their interaction with it. This self-organizing nature is an important characteristic of CAS; and its ability to learn to adapt, differentiate it from other self-organizing systems.
Adaptation (computer science) by which interactive systems adapt to individual users and environments; Adaptive system, a set of interacting entities that enable the whole to improve its response; Complex adaptive system, rich interactions between elements that result in feedback and adaptation
Systems biology is the computational and mathematical analysis and modeling of complex biological systems.It is a biology-based interdisciplinary field of study that focuses on complex interactions within biological systems, using a holistic approach (holism instead of the more traditional reductionism) to biological research.