Reasoning about the executability of goal-plan trees

Yuan Yao, Lavindra de Silva, Brian Logan

Research output: Chapter in Book/Conference proceedingConference contributionpeer-review

8 Citations (Scopus)


User supplied domain control knowledge in the form of hierarchically structured agent plans is at the heart of a number of approaches to reasoning about action. This knowledge encodes the “standard operating procedures” of an agent for responding to environmental changes, thereby enabling fast and effective action selection. This paper develops mechanisms for reasoning about a set of hierarchical plans and goals, by deriving “summary information” from the conditions on the execution of the basic actions forming the “leaves” of the hierarchy. We provide definitions of necessary and contingent pre-, in-, and postconditions of goals and plans that are consistent with the conditions of the actions forming a plan. Our definitions extend previous work with an account of both deterministic and non-deterministic actions, and with support for specifying that actions and goals within a (single) plan can execute concurrently. Based on our new definitions, we also specify requirements that are useful in scheduling the execution of steps in a set of goal-plan trees. These requirements essentially define conditions that must be protected by any scheduler that interleaves the execution of steps from different goal-plan trees.

Original languageEnglish
Title of host publicationEngineering Multi-Agent Systems - 4th International Workshop, EMAS 2016, Revised, Selected, and Invited Papers
EditorsJorg P. Muller, Ingrid Nunes, Matteo Baldoni, Rym Zalila-Wenkstern
PublisherSpringer Verlag
Number of pages16
ISBN (Print)9783319509822
Publication statusPublished - 2016
Event4th International Workshop on Engineering Multi-Agent Systems, EMAS 2016 - Singapore, Singapore
Duration: 9 May 201610 May 2016

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume10093 LNAI
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349


Conference4th International Workshop on Engineering Multi-Agent Systems, EMAS 2016

ASJC Scopus subject areas

  • Theoretical Computer Science
  • General Computer Science


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