Autonomy can be defined as the ability of a machine to perform tasks in the absence of human presence. To truly classify a system as having some autonomy, the following three-dimensional approaches can be taken: Say no to plagiarism. Get a tailor-made essay on “Why Violent Video Games Should Not Be Banned”? Get the original essayHuman-Machine Command-Control RelationshipThis dimension deals with the involvement of humanity in the operation of systems with autonomy. These systems are divided into the following three types.Semi-Autonomous System: Systems that require human interventions. Human-supervised systems: systems that do not require human intervention to operate, but supervision is provided to account for cases of malfunction or breakdown. Fully Autonomous Systems: Systems that operate autonomously without human input. Sophistication in decision making This approach addresses the ability to exercise command of one's own operations. From this point of view, we can divide these systems into three different forms: automatic, automated and autonomous. Automatic refers to providing a mechanical response to sensory inputs via predefined protocols. On the other hand, machines capable of adapting to changes in their environment as well as a considerable level of self-governance can be termed autonomous. Types of functions performed autonomously This dimension indicates that the properties of a system with reference to autonomy depend on each particular function. Therefore, functions such as navigation could be designed to achieve autonomy without any ethical or strategic risks, but achieving autonomy in targeting systems may be of more concern. Autonomy is about obtaining data and using it for various actions, data can be obtained from the machine environment. In order to achieve autonomy, the integration of 3 fundamental abilities is essential. The fundamental abilities are: Detect, Decide, Act. Senses – To achieve autonomy, effective perception of the environment through a variety of sensors it might possess, is essential. These sensors will obtain data from the environment. It should also use detection software to interpret this data appropriately. Target detection, for example, relies on pattern detection. In which the system deciphers the patterns of a given dataset, compares them to the predefined patterns stored in its computer's memory and detects the target accordingly. Decide – Data from the detection software is input for decision making. The procedure to follow can differ considerably depending on the system's perception of its environment. For example, a main battle tank's target acquisition can detect approaching aerial threats. Once the tank commander authorizes retaliation, the tank's autonomous anti-aircraft weapon system can decide its approach based on factors such as wind speed, altitude and speed of the target, the humidity and so on.Act - Once the decision process is completed, the system exercises its control in the real world through physical or computational means. Decision-making models can be reactive or deliberative. The reactive model contains prescribed instructions for how the system should behave when faced with given sets of inputs. For example, in the case of a land mine, the rule prescribed may be that if a weight of between 70 and 100 kg is exerted on it, then it must..