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An educator might learn to use these AI systems as tools and generate code, [3] text or rich media or optimize their digital content production. [4] Or a governmental body might see AI as an ideological project to normalize centralized power and decision making, [5] while public schools and higher education contend with increasing privatization ...
Given a description of the possible initial states of the world, a description of the desired goals, and a description of a set of possible actions, the planning problem is to synthesize a plan that is guaranteed (when applied to any of the initial states) to generate a state which contains the desired goals (such a state is called a goal state).
A lesson plan is envisaged as a blue print, guide map for action, a comprehensive chart of classroom teaching-learning activities, an elastic but systematic approach for the teaching of concepts, skills and attitudes. The first thing for setting a lesson plan is to create an objective, that is, a statement of purpose for the whole lesson.
SchoolTool is a GPL licensed, free student information system for schools around the world. The goals of the project are to create a student information system, including demographics, gradebook, attendance, calendaring and reporting for primary and secondary schools, as well as a framework for building customized applications and configurations for individual schools or states.
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Amazon is upgrading its decade-old Alexa voice assistant with generative artificial intelligence and plans to charge a monthly subscription fee to offset the cost of the technology, according to ...
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:
These agents can interact with users, their environment, or other agents. AI agents are used in various applications, including virtual assistants, chatbots, autonomous vehicles, game-playing systems, and industrial robotics. AI agents operate within the constraints of their programming, available computational resources, and hardware limitations.
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