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Automated planning and scheduling, sometimes denoted as simply AI planning, [1] is a branch of artificial intelligence that concerns the realization of strategies or action sequences, typically for execution by intelligent agents, autonomous robots and unmanned vehicles.
Pages in category "Automated planning and scheduling" The following 28 pages are in this category, out of 28 total. This list may not reflect recent changes. ...
O-Plan, Open Planning Architecture [4] UMCP, the first probably sound and complete HTN planning systems. [5] I-X/I-Plan [6] SHOP2, a HTN-planner developed at University of Maryland, College Park. [7] PANDA, a system designed for hybrid planning, an extension of HTN planning developed at Ulm University, Germany. [8] HTNPlan-P, preference-based ...
A plan for such a planning instance is a sequence of operators that can be executed from the initial state and that leads to a goal state. Formally, a state is a set of conditions: a state is represented by the set of conditions that are true in it.
The name graphplan is due to the use of a novel planning graph, to reduce the amount of search needed to find the solution from straightforward exploration of the state space graph. In the state space graph: the nodes are possible states, and the edges indicate reachability through a certain action. On the contrary, in Graphplan's planning graph:
The scheduler is an operating system module that selects the next jobs to be admitted into the system and the next process to run. Operating systems may feature up to three distinct scheduler types: a long-term scheduler (also known as an admission scheduler or high-level scheduler), a mid-term or medium-term scheduler, and a short-term scheduler.
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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 ...