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  2. Autonomic computing - Wikipedia

    en.wikipedia.org/wiki/Autonomic_computing

    This nervous system controls important bodily functions (e.g. respiration, heart rate, and blood pressure) without any conscious intervention. In a self-managing autonomic system, the human operator takes on a new role: instead of controlling the system directly, he/she defines general policies and rules that guide the self-management process ...

  3. Automated decision-making - Wikipedia

    en.wikipedia.org/wiki/Automated_decision-making

    Automated decision-making involves using data as input to be analyzed within a process, model, or algorithm or for learning and generating new models. [7] ADM systems may use and connect a wide range of data types and sources depending on the goals and contexts of the system, for example, sensor data for self-driving cars and robotics, identity data for security systems, demographic and ...

  4. Automated planning and scheduling - Wikipedia

    en.wikipedia.org/wiki/Automated_planning_and...

    Such planners are called "domain independent" to emphasize the fact that they can solve planning problems from a wide range of domains. Typical examples of domains are block-stacking, logistics, workflow management, and robot task planning. Hence a single domain-independent planner can be used to solve planning problems in all these various ...

  5. Agent-based model - Wikipedia

    en.wikipedia.org/wiki/Agent-based_model

    One of the earliest agent-based models in concept was Thomas Schelling's segregation model, [6] which was discussed in his paper "Dynamic Models of Segregation" in 1971. . Though Schelling originally used coins and graph paper rather than computers, his models embodied the basic concept of agent-based models as autonomous agents interacting in a shared environment with an observed aggregate ...

  6. Autonomous system - Wikipedia

    en.wikipedia.org/wiki/Autonomous_system

    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 ...

  7. Obstacle avoidance - Wikipedia

    en.wikipedia.org/wiki/Obstacle_avoidance

    Obstacle avoidance, in robotics, is a critical aspect of autonomous navigation and control systems. It is the capability of a robot or an autonomous system/machine to detect and circumvent obstacles in its path to reach a predefined destination. This technology plays a pivotal role in various fields, including industrial automation, self ...

  8. Business process automation - Wikipedia

    en.wikipedia.org/wiki/Business_process_automation

    A business process management system differs from BPA. However, it is possible to implement automation based on a BPM implementation. The methods to achieve this vary, from writing custom application code to using specialist BPA tools. [3] [self-published source]

  9. Applications of artificial intelligence - Wikipedia

    en.wikipedia.org/wiki/Applications_of_artificial...

    Autonomous drones can fly independently or in swarms. [338] AOD uses the Interactive Fault Diagnosis and Isolation System, or IFDIS, which is a rule-based expert system using information from TF-30 documents and expert advice from mechanics that work on the TF-30. This system was designed to be used for the development of the TF-30 for the F ...