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Biomimetics or biomimicry is the emulation of the models, systems, and elements of nature for the purpose of solving complex human problems. [ 2 ] [ 3 ] [ 4 ] The terms "biomimetics" and "biomimicry" are derived from Ancient Greek : βίος ( bios ), life, and μίμησις ( mīmēsis ), imitation, from μιμεῖσθαι ( mīmeisthai ...
Examples of swarm intelligence in natural systems include ant colonies, bee colonies, bird flocking, hawks hunting, animal herding, bacterial growth, fish schooling and microbial intelligence. The application of swarm principles to robots is called swarm robotics while swarm intelligence refers to the more general set of algorithms.
Other currently expected AuT technologies include home robotics (e.g., machines that provide care for the elderly, [9] [10] infirm or young), and military robots [11] [12] (air, land or sea autonomous machines with information-collection or target-attack capabilities).
Robots are autonomous. Robots can interact with the surroundings and give feedback to modify the environment. Robots possess local perceiving and communicating capabilities, such as wireless transmission systems, like radio frequency or infrared. [3] Robots do not exploit centralized swarm control or global knowledge.
Autonomous system (mathematics), a system of ordinary differential equations which does not depend on the independent variable; Autonomous robot, robots which can perform desired tasks in unstructured environments without continuous human guidance; Autonomous underwater vehicle, a system that travels underwater without requiring input from an ...
This should not be surprising, considering that nonlinear autonomous systems in three dimensions can produce truly chaotic behavior such as the Lorenz attractor and the Rössler attractor. Likewise, general non-autonomous equations of second order are unsolvable explicitly, since these can also be chaotic, as in a periodically forced pendulum. [6]
"Autonomous agents are systems capable of autonomous, purposeful action in the real world." [2] According to Maes (1995): "Autonomous agents are computational systems that inhabit some complex dynamic environment, sense and act autonomously in this environment, and by doing so realize a set of goals or tasks for which they are designed." [3]
System 3 is able to audit (via 3*) past performance so "bad times" for production can be compared to "good times". If things go wrong and levels of risk increase the System 3 asks for help or puts it to colleagues for a remedy. This is the pain of an algedonic alert, which can be automatic when performance fails to achieve capability targets.