Towards a self-selective and self-healing evaluation

Alastair Butler, Kei Yoshimoto

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


Assume a recursive routine for evaluating expressions against an assignment function that stores accumulated binding information for variable names. This paper proposes adding an If operation that allows for what is evaluated to be automatically selected during the runtime of evaluation based on the state of the assignment function. This can (a) allow a single encoding of content that would otherwise require distinct expressions, and (b) equip an expression with a way to recover from situations that would cause unwelcome results from evaluation. The new operation is demonstrated to be an essential component for allowing a robust interpretation of unknown lexical items and for feeding an automated regulation of binding dependencies determined on a grammatical basis.

Original languageEnglish
Title of host publicationNew Frontiers in Artificial Intelligence - JSAI-isAI 2011 Workshops, LENLS, JURISIN, ALSIP, MiMI, Revised Selected Papers
Number of pages14
Publication statusPublished - 2012 Sep 13
Event3rd International Symposium on Artificial Intelligence, JSAI-isAI 2011 - Takamatsu, Japan
Duration: 2011 Dec 12012 Nov 2

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume7258 LNAI
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349


Other3rd International Symposium on Artificial Intelligence, JSAI-isAI 2011


  • assignment function
  • binding dependencies
  • grammatical roles
  • predicate logic
  • robust interpretation
  • semantic evaluation

ASJC Scopus subject areas

  • Theoretical Computer Science
  • Computer Science(all)


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