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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.
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.
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 ...
An autonomous intelligent agent is designed to function in the absence of human intervention. Intelligent agents are also closely related to software agents . An autonomous computer program that carries out tasks on behalf of users.
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 ...
A component of a job (as a unit of work) is called a task or a step (if sequential, as in a job stream). As a unit of execution, a job may be concretely identified with a single process, which may in turn have subprocesses (child processes; the process corresponding to the job being the parent process) which perform the tasks or steps that ...
"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]
A language for specifying state transition systems, and is commonly used to create formal models of the effects of actions on the world. [6] Action languages are commonly used in the artificial intelligence and robotics domains, where they describe how actions affect the states of systems over time, and may be used for automated planning.