Artificial Intelligence Planning Systems

Artificial Intelligence Planning Systems

Proceedings of the First Conference (AIPS 92)

1st Edition - June 1, 1992

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  • Editor: James Hendler
  • eBook ISBN: 9780080499444

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Description

Artificial Intelligence Planning Systems documents the proceedings of the First International Conference on AI Planning Systems held in College Park, Maryland on June 15-17, 1992. This book discusses the abstract probabilistic modeling of action; building symbolic primitives with continuous control routines; and systematic adaptation for case-based planning. The analysis of ABSTRIPS; conditional nonlinear planning; and building plans to monitor and exploit open-loop and closed-loop dynamics are also elaborated. This text likewise covers the modular utility representation for decision-theoretic planning; reaction and reflection in tetris; and planning in intelligent sensor fusion. Other topics include the resource-bounded adaptive agent, critical look at Knoblock's hierarchy mechanism, and traffic laws for mobile robots. This publication is beneficial to students and researchers conducting work on AI planning systems.

Table of Contents


  • Foreword

    Papers

    Declarative Goals in Reactive Plans

    An Analysis of Search Techniques for a Totally-Ordered Nonlinear Planner

    Complexity Results for Extended Planning

    Abstract Probabilistic Modeling of Action

    Semantics for Tasks that Can Be Interrupted or Abandoned

    Acquiring Search Heuristics Automatically for Constraint-Based Planning and Scheduling

    Plan Recognition in Understanding Instructions

    Building Symbolic Primitives with Continuous Control Routines

    Rational Handling of Multiple Goals for Mobile Robots

    A Framework of Simplifications in Learning to Plan

    Decision-Theoretic Recursive Modeling and the Coordinated Attack Problem

    Systematic Adaptation for Case-Based Planning

    Predicting and Explaining Success and Task Duration in the Phoenix Planner

    Characterizing Multi-Contributor Causal Structures for Planning

    An Analysis of ABSTRIPS

    An Empirical Study of Sensing and Defaulting in Planning

    Systematic and Nonsystematic Search Strategies

    A Practical Approach to Integrating Reaction and Deliberation

    Towards Structural Abstraction

    Case-Based Planning Meets the Frame Problem (Case-Based Planning from the Classical Perspective)

    Incremental Path Planning on Graphs with Cycles

    Conditional Nonlinear Planning

    The Projection Problem in the Situation Calculus: A Soundness and Completeness Result, with an Application to Database Updates

    Building Plans to Monitor and Exploit Open-Loop and Closed-Loop Dynamics

    Vague Data Management in Production Process Scheduling Applied to High-Grade Steelmaking

    When is Planning Decidable?

    A Semi-Reactive Planner Based on a Possible Models Action Formalization

    Modular Utility Representation for Decision-Theoretic Planning

    Automatically Abstracting the Effects of Operators

    Constraint Satisfaction with a Multi-Dimensional Domain

    Efficient Resource-Bounded Reasoning in AT-RALPH

    Posters

    Using Abstraction-Based Similarity to Retrieve Reuse Candidates

    The Planning of Actions in the Basal Ganglia

    Probabilistic Network Representations of Continuous-Time Stochastic Processes for Applications in Planning and Control

    A Completable Approach to Integrating Planning and Scheduling

    Isolating Dependencies on Failure by Analyzing Execution Traces

    Posture Planning for Agent Animation

    Tradeoffs in the Utility of Learned Knowledge

    Reaction and Reflection in Tetris

    Towards a Logical Treatment of Plan Reuse

    Abstracting Operators for Hierarchical Planning

    Planning for Soft Goals

    Representing Conflicts in Parallel Planning

    Protograms

    Planning in Intelligent Sensor Fusion

    An Introduction to Planning and Meta-Decision-Making with Uncertain Nondeterministic Actions Using 2nd-Order Probabilities

    A Hierarchical Approach to Strategic Planning with Non-Cooperating Agents under Conditions of Uncertainty

    An Architecture Supporting Multiple Organizations for Cooperative Mobile Robots

    SEPIA: A Resource-Bounded Adaptive Agent

    Multi-Agent Planning and Collaboration in Dynamic Resource Allocation

    A Critical Look at Knoblock's Hierarchy Mechanism

    On Traffic Laws for Mobile Robots (Extended Abstract)

    When Goals Aren't Good Enough

    Efficient Temporal Reasoning for Plan Projection

    Author Index

Product details

  • No. of pages: 315
  • Language: English
  • Copyright: © Morgan Kaufmann 2014
  • Published: June 1, 1992
  • Imprint: Morgan Kaufmann
  • eBook ISBN: 9780080499444

About the Editor

James Hendler

Jim Hendler is the Tetherless World Senior Constellation Chair at Rensselaer Polytechnic Institute, and has authored over 200 technical papers in the areas of artificial intelligence, Semantic Web, agent-based computing, and web science. One of the early developers of the Semantic Web, he is the Editor-in-Chief emeritus of IEEE Intelligent Systems and is the first computer scientist to serve on the Board of Reviewing Editors for Science. In 2010, he was chosen as one of the 20 most innovative professors in America by Playboy magazine, Hendler currently serves as an "Internet Web Expert" for the U.S. government, providing guidance to the Data.gov project.

Affiliations and Expertise

Rensselaer Polytechnic Institute

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