Artificial Intelligence Planning Systems - 1st Edition - ISBN: 9780080499444

Artificial Intelligence Planning Systems

1st Edition

Proceedings of the First Conference (AIPS 92)

Editors: James Hendler
eBook ISBN: 9780080499444
Imprint: Morgan Kaufmann
Published Date: 28th June 2014
Page Count: 315
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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

Details

No. of pages:
315
Language:
English
Copyright:
© Morgan Kaufmann 1992
Published:
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