Reshaping State-Space Search: From Dominance to Contrastive Analysis

Álvaro Torralba*

*Corresponding author for this work

Research output: Contribution to book/anthology/report/conference proceedingConference abstract in proceedingResearchpeer-review

Abstract

State-space search is paramount for intelligent decision making when long-term thinking is needed. We introduce dominance and contrastive analysis methods, which enable reasoning about the relative advantages among different courses of action. This re-shapes how agents reason and leads to new families of state-space search algorithms.

Original languageEnglish
Title of host publicationAAAI-23 Special Programs, IAAI-23, EAAI-23, Student Papers and Demonstrations
EditorsBrian Williams, Yiling Chen, Jennifer Neville
Number of pages1
PublisherAAAI Press
Publication date27 Jun 2023
Pages15457
ISBN (Electronic)978-1-57735-880-0
DOIs
Publication statusPublished - 27 Jun 2023
Event37th AAAI Conference on Artificial Intelligence, AAAI 2023 - Washington, United States
Duration: 7 Feb 202314 Feb 2023

Conference

Conference37th AAAI Conference on Artificial Intelligence, AAAI 2023
Country/TerritoryUnited States
CityWashington
Period07/02/202314/02/2023
SponsorAssociation for the Advancement of Artificial Intelligence
SeriesProceedings of the AAAI Conference on Artificial Intelligence
Number13
Volume37
ISSN2374-3468

Bibliographical note

Publisher Copyright:
Copyright © 2023, Association for the Advancement of Artificial Intelligence (www.aaai.org). All rights reserved.

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