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Partial-order planning

Index Partial-order planning

Partial-order planning is an approach to automated planning that leaves decisions about the ordering of actions as open as possible. [1]

12 relations: Algorithm, Artificial intelligence, Automated planning and scheduling, Computer program, Demotion, Linear extension, Partially ordered set, Promotion (rank), Reactive planning, Search algorithm, Sussman anomaly, Threat.

Algorithm

In mathematics and computer science, an algorithm is an unambiguous specification of how to solve a class of problems.

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Artificial intelligence

Artificial intelligence (AI, also machine intelligence, MI) is intelligence demonstrated by machines, in contrast to the natural intelligence (NI) displayed by humans and other animals.

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Automated planning and scheduling

Automated planning and scheduling, sometimes denoted as simply AI Planning, 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.

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Computer program

A computer program is a collection of instructions for performing a specific task that is designed to solve a specific class of problems.

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Demotion

A demotion is a compulsory reduction in an employee's rank or job title within the organizational hierarchy of a company, public service department, or other body, unless there is no reduction in pay.

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Linear extension

In order theory, a branch of mathematics, a linear extension of a partial order is a total order (or linear order) that is compatible with the partial order.

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Partially ordered set

In mathematics, especially order theory, a partially ordered set (also poset) formalizes and generalizes the intuitive concept of an ordering, sequencing, or arrangement of the elements of a set.

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Promotion (rank)

A promotion is the advancement of an employee's rank or position in an organizational hierarchy system.

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Reactive planning

In artificial intelligence, reactive planning denotes a group of techniques for action selection by autonomous agents.

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Search algorithm

In computer science, a search algorithm is any algorithm which solves the search problem, namely, to retrieve information stored within some data structure, or calculated in the search space of a problem domain.

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Sussman anomaly

The Sussman anomaly is a problem in artificial intelligence, first described by Gerald Sussman, that illustrates a weakness of noninterleaved planning algorithms, which were prominent in the early 1970s.

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Threat

A threat is a communicated intent to inflict harm or loss on another person.

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References

[1] https://en.wikipedia.org/wiki/Partial-order_planning

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