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Recent Advances in AI Planning

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Cover of 'Recent Advances in AI Planning'

Table of Contents

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    Book Overview
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    Chapter 71 Context dependent effects in temporal planning
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    Chapter 72 Information gathering plans with sensing actions
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    Chapter 73 What does a planner need to know about execution?
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    Chapter 74 Planning and chemical plant operating procedure synthesis: A case study
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    Chapter 75 Task planning and partial order planning: A domain transformation approach
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    Chapter 76 Expressing transformations of structured reactive plans
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    Chapter 77 Fast probabilistic plan debugging
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    Chapter 78 Quantification in generative refinement planning
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    Chapter 79 Modal tableaux for reasoning about actions and plans
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    Chapter 80 A time and resource problem for planning architectures
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    Chapter 81 Planning via model checking: A decision procedure for AR
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    Chapter 82 Possibilistic planning: Representation and complexity
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    Chapter 83 Planning with sensing for a mobile robot
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    Chapter 84 Encoding planning problems in nonmonotonic logic programs
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    Chapter 85 An argument for a hybrid HTN/operator-based approach to planning
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    Chapter 86 Natural hierarchical planning using operator decomposition
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    Chapter 87 Planning, learning, and executing in autonomous systems
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    Chapter 88 Combining the expressivity of UCPOP with the efficiency of Graphplan
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    Chapter 89 Bounded parameter Markov decision processes
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    Chapter 90 Planning and search techniques for intelligent behaviour of battlefield entities
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    Chapter 91 Understanding and extending Graphplan
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    Chapter 92 Extending planning graphs to an ADL subset
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    Chapter 93 Breaking security protocols as an AI planning problem
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    Chapter 94 Time-oriented skeletal plans: Support to design and execution
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    Chapter 95 SINERGY: A linear planner based on genetic programming
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    Chapter 96 A case study on mergeability of cases with a partial-order planner
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    Chapter 97 Ignoring irrelevant facts and operators in plan generation
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    Chapter 98 A tabu search strategy to solve scheduling problems with deadlines and complex metric constraints
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    Chapter 99 Contingency selection in plan generation
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    Chapter 100 Approaching the plans are programs paradigm using transaction logic
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    Chapter 101 Event calculus planning revisited
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    Chapter 102 Constraint based reactive rescheduling in a stochastic environment
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    Chapter 103 Plan-refinement strategies and search-space size
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    Chapter 104 Replanning using hierarchical task network and operator-based planning
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    Chapter 105 BI-POMDP: Bounded, incremental partially-observable Markov-model planning
Overall attention for this book and its chapters
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Mentioned by

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5 Wikipedia pages

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123 Mendeley
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Title
Recent Advances in AI Planning
Published by
Springer Berlin Heidelberg, December 1997
DOI 10.1007/3-540-63912-8
ISBNs
978-3-54-063912-1, 978-3-54-069665-0
Editors

Steel, Sam, Alami, Rachid

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 123 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 10 8%
Germany 3 2%
France 3 2%
Italy 3 2%
India 1 <1%
United Kingdom 1 <1%
China 1 <1%
Israel 1 <1%
Austria 1 <1%
Other 3 2%
Unknown 96 78%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 38 31%
Student > Master 25 20%
Researcher 24 20%
Professor > Associate Professor 11 9%
Other 7 6%
Other 18 15%
Readers by discipline Count As %
Computer Science 89 72%
Engineering 21 17%
Unspecified 2 2%
Business, Management and Accounting 2 2%
Agricultural and Biological Sciences 2 2%
Other 7 6%