Synthesis of integration problems and solutions

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

Abstract

Problem synthesis is a formal task in Artificial Intelligence. This task involves the automatic generation of problems and their respective solutions across different domains (including Mathematics). Techniques for problem synthesis vary widely. In this paper, we present a newly designed context-free grammar (or CFG) that specifies the rules governing the formulation of specific classes of Integration problems and their solutions. These grammar rules were implemented in a software tool, and produced many Integration problems and solutions rendered in LATEX. A hundred thousand instances of these synthesised problems and solutions can be found at: tinyurl.com/integralproblems2019. The resulting problems and solution may find applications in Education (as assessment and/or practice problems), hence, aiding the learning of integration as a topic in Mathematics.

Original languageEnglish
Title of host publication2019 6th International Conference on Soft Computing and Machine Intelligence, ISCMI 2019
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages185-190
Number of pages6
ISBN (Electronic)9781728145778
DOIs
Publication statusPublished - Nov 2019
Event6th International Conference on Soft Computing and Machine Intelligence, ISCMI 2019 - Johannesburg, South Africa
Duration: 19 Nov 201920 Nov 2019

Publication series

Name2019 6th International Conference on Soft Computing and Machine Intelligence, ISCMI 2019

Conference

Conference6th International Conference on Soft Computing and Machine Intelligence, ISCMI 2019
Country/TerritorySouth Africa
CityJohannesburg
Period19/11/1920/11/19

Keywords

  • Context-free grammars
  • Integration problems
  • Problem generation
  • Synthesis of things

ASJC Scopus subject areas

  • Artificial Intelligence
  • Computer Science Applications
  • Computer Vision and Pattern Recognition
  • Computational Mathematics
  • Modeling and Simulation

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