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Autonomy-oriented computation is a paradigm proposed by Jiming Liu in 2001 that uses artificial systems imitating social animals' collective behaviours to solve difficult computational problems. For example, ant colony optimization could be studied in this paradigm.
Four types of autonomy, which promote loose coupling, are: reference autonomy, time autonomy, format autonomy, and platform autonomy. [3] Loose coupling is an architectural principle and design goal in service-oriented architectures. Eleven forms of loose coupling and their tight coupling counterparts are listed in: [4]
A distributed system may have a common goal, such as solving a large computational problem; [16] the user then perceives the collection of autonomous processors as a unit. Alternatively, each computer may have its own user with individual needs, and the purpose of the distributed system is to coordinate the use of shared resources or provide ...
Autonomic networking follows the concept of Autonomic Computing, an initiative started by IBM in 2001. Its ultimate aim is to create self-managing networks to overcome the rapidly growing complexity of the Internet and other networks and to enable their further growth, far beyond the size of today.
An autonomous recording unit (ARU) is a self-contained audio recording device that is deployed in marine or terrestrial environments for bioacoustical monitoring. The unit is used in both marine and terrestrial environments to track the behavior of animals and monitor their ecosystems.
LOBs have full autonomy to develop standards for applications and infrastructure and to define enterprise architectures. The goal of the LOB is to optimize performance at LOB level. Federated Architectures define common or shared architecture standards across autonomous program areas, enabling, e.g., state government entities to maintain ...
Each SCS is an autonomous web application. Each SCS is owned by one team. Communication with other SCSs or third-party systems is asynchronous wherever possible. An SCS can have an optional service API. Each SCS must include data and logic. An SCS should make its features usable to end-users by its own UI.
"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]