survey

Progress in Case-Based Planning

Authors:

Daniel Borrajo,

Anna Roubíčková,

Ivan SerinaAuthors Info & Claims

ACM Computing Surveys (CSUR), Volume 47, Issue 2

Article No.: 35, Pages 1 - 39

https://doi.org/10.1145/2674024

Published: 08 January 2015 Publication History

Abstract

Case-based planning (CBP) is an approach to automated planning that tries to save computational effort by reusing previously found solutions. In 2001, Spalazzi published a survey of work in CBP; here, we present an updated overview of systems that have contributed to the evolution of the field or addressed some issues related to planning by reuse in a novel way. The article presents relevant planners so that readers gain insight into the operation of these systems. This analysis will allow readers to understand the approaches both in the quality of the solutions and in the complexity of finding them.

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Cited By

Bercher PHaslum PMuise CLarson K(2024)A survey on plan optimizationProceedings of the Thirty-Third International Joint Conference on Artificial Intelligence10.24963/ijcai.2024/879(7941-7950)Online publication date: 3-Aug-2024
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Index Terms

Progress in Case-Based Planning
1. Computing methodologies
  1. Artificial intelligence
    1. Control methods
    2. Search methodologies
  2. Machine learning
2. Theory of computation
  1. Design and analysis of algorithms
    1. Algorithm design techniques
      1. Dynamic programming

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cover image ACM Computing Surveys

ACM Computing Surveys Volume 47, Issue 2

January 2015

827 pages

ISSN:0360-0300

EISSN:1557-7341

DOI:10.1145/2658850

Editor:
Sartaj Sahni
Department of Computer and Information Science and Engineering/University of Florida/Gainesville

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Copyright © 2015 ACM.

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Publication History

Published: 08 January 2015

Accepted: 01 September 2014

Revised: 01 September 2014

Received: 01 February 2014

Published in CSUR Volume 47, Issue 2

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Spanish MICINN projects TIN2008-06701-C03-03 and TIN2011-27652-C03-02

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https://dl.acm.org/doi/10.24963/ijcai.2024/879
Opdahl ATessem BDang-Nguyen DMotta ESetty VThrondsen ETverberg ATrattner C(2023)Trustworthy journalism through AIData & Knowledge Engineering10.1016/j.datak.2023.102182146:COnline publication date: 1-Jul-2023
https://dl.acm.org/doi/10.1016/j.datak.2023.102182
Red'ko VSamsonovich AKlimov V(2023)Computational modeling of insight processes and artificial cognitive ontogenyCognitive Systems Research10.1016/j.cogsys.2022.12.00478:C(71-86)Online publication date: 1-Mar-2023
https://dl.acm.org/doi/10.1016/j.cogsys.2022.12.004
Malburg LBrand FBergmann R(2023)Adaptive Management of Cyber-Physical Workflows by Means of Case-Based Reasoning and Automated PlanningEnterprise Design, Operations, and Computing. EDOC 2022 Workshops10.1007/978-3-031-26886-1_5(79-95)Online publication date: 24-Feb-2023
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