Automated planning is a subfield of Artificial Intelligence concerned with developing computer algorithms to generate plans, typically for execution by a robot or other agent. A typical planner takes three inputs: a description of the initial state of the world, a description of the desired goal, and a set of possible actions (all encoded in a formal language such as STRIPS). The difficulty of planning is dependent on the simplifying assumptions employed, e.g. atomic time, deterministic time, complete observability, etc. Artificial intelligence (also known as machine intelligence and often abbreviated as AI) is intelligence exhibited by any manufactured (i. ... A plan is a proposed or intended method of getting from one set of circumstances to another. ... A humanoid robot playing the trumpet In practical usage, a robot is an autonomous or semi-autonomous device which performs its tasks either by direct human control, partial control with human supervision, or completely autonomously. ... In finance, strips can refer to Zero-coupon bonds An option composed of one call and two put options with the same strike price. ...
Classical planners make all these assumptions and have been studied most fully. Some popular techniques include: forward-chaining state-space search, backward-chaining state-space search, search through plan space, graphplan, and compilation to propositional satisfiability.
If the assumption of determinism is dropped and a probabalistic model of uncertainty is adopted, then this leads to the problem of policy generation for a Markov decision problem (MDP) or (in the general case) partially-observable Markov decision problem (POMDP). Wikipedia does not yet have an article with this exact name. ...
Automatedplanning and scheduling is a branch of artificial intelligence that concerns the realisation of strategies or action sequences, typically for execution by intelligent agents, autonomous robots and unmanned vehicles.
An alternative language for describing planning problems is that of hierarchical task networks, in which a set of tasks is given, and each task can be either realized by a primitive action or decomposed in a set of other tasks.
The difficulty of planning is dependent on the simplifying assumptions employed, e.g.
Using operationalized RST relations and other text plans, the planner constructed a tree that embodied the paragraph structure, in which nonterminal nodes were RST relations and terminal nodes contained the material to be communicated.
To ensure readability, automated text generation programs must not only plan and generate their texts but be able to format them appropriately as well.
We describe how work on the automatedplanning of multisentence text and on the display of information in a multimedia system led to the insight that text formatting devices such as footnotes, italicized regions, enumerations, etc., can be plannedautomatically by a text structure planning process.
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