Actions you can handle: Dependent types for AI plans

Alasdair Hill, Ekaterina Komendantskaya, Matthew L. Daggitt, Ronald P. A. Petrick

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Verification of AI is a challenge that has engineering, algorithmic and programming language components. For example, AI planners are deployed to model actions of autonomous agents. They comprise a number of searching algorithms that, given a set of specified properties, find a sequence of actions that satisfy these properties. Although AI planners are mature tools from the algorithmic and engineering points of view, they have limitations as programming languages. Decidable and efficient automated search entails restrictions on the syntax of the language, prohibiting use of higher-order properties or recursion. This paper proposes a methodology for embedding plans produced by AI planners into the dependently-typed language Agda, which enables users to reason about and verify more general and abstract properties of plans, and also provides a more holistic programming language infrastructure for modelling plan execution.

Original languageEnglish
Title of host publicationTyDe 2021: Proceedings of the 6th ACM SIGPLAN International Workshop on Type-Driven Development
EditorsHsiang-Shang Ko, Dominic Orchard
PublisherAssociation for Computing Machinery
Pages1-13
Number of pages13
ISBN (Electronic)9781450386166
DOIs
Publication statusPublished - 18 Aug 2021
Event6th ACM SIGPLAN International Workshop on Type-Driven Development 2021 - Virtual, Online, Korea, Republic of
Duration: 22 Aug 2021 → …

Conference

Conference6th ACM SIGPLAN International Workshop on Type-Driven Development 2021
Abbreviated titleTyDe 2021
Country/TerritoryKorea, Republic of
CityVirtual, Online
Period22/08/21 → …

Keywords

  • AI Planners
  • Dependent Types
  • Verification

ASJC Scopus subject areas

  • Computer Science Applications
  • Software

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