Download Automated Planning: Theory & Practice (The Morgan Kaufmann by Malik Ghallab, Dana Nau, Paolo Traverso PDF

By Malik Ghallab, Dana Nau, Paolo Traverso

Automatic making plans expertise now performs an important function in quite a few hard purposes, starting from controlling house cars and robots to taking part in the sport of bridge. those real-world functions create new possibilities for synergy among conception and perform: gazing what works good in perform ends up in higher theories of making plans, and higher theories result in greater functionality of sensible purposes.

Automated making plans mirrors this discussion through supplying a accomplished, updated source on either the speculation and perform of computerized making plans. The booklet is going well past classical making plans, to incorporate temporal making plans, source scheduling, making plans below uncertainty, and glossy recommendations for plan new release, equivalent to activity decomposition, propositional satisfiability, constraint delight, and version checking.

The authors mix over 30 years event in making plans study and improvement to supply a useful textual content to researchers, execs, and graduate scholars.

*Comprehensively explains paradigms for computerized making plans.
*Provides a radical realizing of concept and making plans perform, and the way they relate to one another.
*Presents case experiences of purposes in area, robotics, CAD/CAM, procedure regulate, emergency operations, and video games.

*Provides an intensive figuring out of AI making plans thought and perform, and the way they relate to one another.
*Covers the entire modern subject matters of making plans, in addition to vital useful purposes of making plans, equivalent to version checking and online game taking part in.
*Presents case experiences and purposes in making plans engineering, area, robotics, CAD/CAM, strategy keep an eye on, emergency operations, and games.
*Provides lecture notes, examples of programming assignments, tips to downloadable making plans structures and comparable info on-line.

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Extra info for Automated Planning: Theory & Practice (The Morgan Kaufmann Series in Artificial Intelligence)

Sample text

Some professionals face complex and changing tasks that involve demanding safety and/or efficiency requirements. Imagine, as an example, a rescue operation after a natural disaster such as an earthquake or a flood. That operation may involve a large number of actors and require the deployment of a communication and transportation infrastructure. It relies on careful planning and the assessment of several alternate plans. But it is also time constrained and it demands immediate 1 2 Chapter 1 Introduction and Overview decisions that must be supported with a planning tool.

See Appendix B for an introduction and first-order logic. 2 The DWR state s1 = {attached(p1,loc1), attached(p2,loc1), in(c1,p1), in(c3,p1), top(c3,p1), on(c3,c1), on(c1,pallet), in(c2,p2), top(c2,p2), on(c2,pallet), belong(crane1,loc1), empty(crane1), adjacent(loc1,loc2), adjacent(loc2,loc1), at(r1,loc2), occupied(loc2), unloaded(r1)}. Note that the truth value of an atom may vary from state to state. 2, but it does not hold in a state where robot r1 moves to location loc1. Hence, the predicate at can be considered as a function of the set of states; it will be called a fluent or flexible relation.

2 Set-Theoretic Representation ● 21 g ⊆ L is a set of propositions called goal propositions that give the requirements that a state must satisfy in order to be a goal state. The set of goal states is Sg = {s ∈ S | g ⊆ s}. 2 specifies what a planning problem is semantically, but it is not the syntactic specification we would use to describe a planning problem to a computer program. 3. 1. L = {onground, onrobot, holding, at1, at2}, where: onground means that the container is on the ground; onrobot means that the container is on the robot; holding means that the crane is holding the container; at1 means that the robot is at location 1; and at2 means that the robot is at location 2.

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