What happens to intentional concepts in requirements engineering if intentional states cannot be known?

Research output: Contribution in Book/Catalog/Report/Conference proceedingConference contribution

Abstract

I assume in this paper that the proposition “I cannot know your intentional states” is true. I consider its consequences on the use of so-called “intentional concepts” for Requirements Engineering. I argue that if you take this proposition to be true, then intentional concepts (e.g., goal, belief, desire, intention, etc.) start to look less relevant (though not irrelevant), despite being the focus of significant research attention over the past three decades. I identify substantial problems that arise if you use instances of intentional concepts to reflect intentional states. I sketch an approach to address these problems. In it, intentional concepts have a less prominent role, while notions of time, uncertainty, prediction, observability, evidence, and learning are at the forefront.

Original languageEnglish
Title of host publication36th International Conference on Conceptual Modeling
PublisherSpringer Verlag
Pages209-222
Number of pages14
ISBN (Print)9783319699035
DOIs
Publication statusPublished - 1 Jan 2017
Event36th International Conference on Conceptual Modeling, ER 2017 - Valencia, Spain
Duration: 6 Nov 20179 Nov 2017

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume10650 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference36th International Conference on Conceptual Modeling, ER 2017
CountrySpain
CityValencia
Period6/11/179/11/17

Keywords

  • Foundations
  • Goals
  • Intentionality
  • Requirements engineering

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  • Cite this

    Jureta, I. J. (2017). What happens to intentional concepts in requirements engineering if intentional states cannot be known? In 36th International Conference on Conceptual Modeling (pp. 209-222). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 10650 LNCS). Springer Verlag. https://doi.org/10.1007/978-3-319-69904-2_17