On defaults in action theories

Hannes Strass, Michael Thielscher

    Research output: Contribution to journalArticlepeer-review

    Abstract

    We study the integration of two prominent fields of logic-based AI: action formalisms and non-monotonic reasoning. The resulting framework allows an agent employing an action theory as internal world model to make useful default assumptions. We show that the mechanism behaves properly in the sense that all intuitively possible conclusions can be drawn and no implausible inferences arise. In particular, it suffices to make default assumptions only once (in the initial state) to solve projection problems.
    Original languageEnglish
    Pages (from-to)298-305
    Number of pages8
    JournalLecture Notes in Computer Science
    Volume5803
    DOIs
    Publication statusPublished - 2009

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