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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.
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.
Lethal autonomous weapons (LAWs) are a type of autonomous robot military system that can independently search for and engage targets based on programmed constraints and descriptions. [23] LAWs are also known as lethal autonomous weapon systems (LAWS), autonomous weapon systems (AWS), robotic weapons, killer robots or slaughterbots. [24]
A video showing the partly autonomous deep-sea soft robots An application of bio-mimicry via soft robotics is in ocean or space exploration. In the search for extraterrestrial life, scientists need to know more about extraterrestrial bodies of water, as water is the source of life on Earth.
[6] [7] It is expected that the first mass-deployment of AuT technologies will be the autonomous car, generally expected to be available around 2020. [8] 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 ...
"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]
Natural computing, [1] [2] also called natural computation, is a terminology introduced to encompass three classes of methods: 1) those that take inspiration from nature for the development of novel problem-solving techniques; 2) those that are based on the use of computers to synthesize natural phenomena; and 3) those that employ natural materials (e.g., molecules) to compute.
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.