Recent Advances in AI Planning

Table of Contents

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   Book Overview
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   Chapter 1 Planning as Model Checking
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   Chapter 2 Conformant Planning via Model Checking
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   Chapter 3 Strong Cyclic Planning Revisited
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   Chapter 4 Scaleability in Planning
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   Chapter 5 Exploiting Competitive Planner Performance
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   Chapter 6 A Parallel Algorithm for POMDP Solution
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   Chapter 7 Plan Merging & Plan Reuse as Satisfiability
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   Chapter 8 SAT-Based Procedures for Temporal Reasoning
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    Chapter 9 Numeric State Variables in Constraint-Based Planning
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    Chapter 10 Hierarchical Task Network Planning as Satisfiability
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    Chapter 11 Exhibiting Knowledge in Planning Problems to Minimize State Encoding Length
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    Chapter 12 Action Constraints for Planning
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    Chapter 13 Least Commitment on Variable Binding in Presence of Incomplete Knowledge
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    Chapter 14 Scaling up Planning by Teasing Out Resource Scheduling
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    Chapter 15 Real-Time Scheduling for Multi-agent Call Center Automation
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    Chapter 16 Task Decomposition Support to Reactive Scheduling
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    Chapter 17 Greedy Algorithms for the Multi-capacitated Metric Scheduling Problem
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    Chapter 18 Automata-Theoretic Approach to Planning for Temporally Extended Goals
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    Chapter 19 Integer Programs and Valid Inequalities for Planning Problems
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    Chapter 20 Deductive Synthesis of Recursive Plans in Linear Logic
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    Chapter 21 Sensor Planning with Non-linear Utility Functions
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    Chapter 22 Propice-Plan : Toward a Unified Framework for Planning and Execution
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    Chapter 23 What is the Expressive Power of Disjunctive Preconditions?
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    Chapter 24 Some Results on the Complexity of Planning with Incomplete Information
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    Chapter 25 Probabilistic Planning in the Graphplan Framework
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    Chapter 26 Making Graphplan Goal-Directed
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    Chapter 27 GRT: A Domain Independent Heuristic for STRIPS Worlds Based on Greedy Regression Tables
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    Chapter 28 Planning as Heuristic Search: New Results