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The challenge of epistemic divergence in IS development

Authors:

Mark Lycett,

Chris PartridgeAuthors Info & Claims

Communications of the ACM, Volume 52, Issue 6

Pages 127 - 131

https://doi.org/10.1145/1516046.1516079

Published: 01 June 2009 Publication History

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Cited By

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Partridge CDe Cesare SMitchell AOdell J(2018)Formalization of the classification patternSoftware and Systems Modeling (SoSyM)10.1007/s10270-016-0521-517:1(167-203)Online publication date: 1-Feb-2018
https://dl.acm.org/doi/10.1007/s10270-016-0521-5
Somers M(2017)Using the theory of the professions to understand the IS identity crisisEuropean Journal of Information Systems10.1057/ejis.2010.2619:4(382-388)Online publication date: 19-Dec-2017
https://doi.org/10.1057/ejis.2010.26
de Cesare SPartridge C(2016)BORO as a Foundation to Enterprise OntologyJournal of Information Systems10.2308/isys-5142830:2(83-112)Online publication date: 1-Feb-2016
https://doi.org/10.2308/isys-51428
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Index Terms

The challenge of epistemic divergence in IS development
1. Software and its engineering
  1. Software creation and management
    1. Designing software
      1. Requirements analysis

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Intuitionistic epistemic logic (IEL), introduced by Artemov and Protopopescu (2016), accepts the co-reflection axiom: “” in terms of Brouwer-Heyting-Kolmogorov interpretation. There are two variants for IEL, one of which has the axiom “”, while ...
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Evaluating epistemic negation in answer set programming

Epistemic negation not along with default negation plays a key role in knowledge representation and nonmonotonic reasoning. However, the existing epistemic approaches such as those by Gelfond 13,15,14, Truszczynski 33 and Kahl et al. 18 behave not ...

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Published In

Communications of the ACM Volume 52, Issue 6

One Laptop Per Child: Vision vs. Reality

June 2009

128 pages

ISSN:0001-0782

EISSN:1557-7317

DOI:10.1145/1516046

Issue’s Table of Contents

Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 01 June 2009

Published in CACM Volume 52, Issue 6

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Partridge CDe Cesare SMitchell AOdell J(2018)Formalization of the classification patternSoftware and Systems Modeling (SoSyM)10.1007/s10270-016-0521-517:1(167-203)Online publication date: 1-Feb-2018
https://dl.acm.org/doi/10.1007/s10270-016-0521-5
Somers M(2017)Using the theory of the professions to understand the IS identity crisisEuropean Journal of Information Systems10.1057/ejis.2010.2619:4(382-388)Online publication date: 19-Dec-2017
https://doi.org/10.1057/ejis.2010.26
de Cesare SPartridge C(2016)BORO as a Foundation to Enterprise OntologyJournal of Information Systems10.2308/isys-5142830:2(83-112)Online publication date: 1-Feb-2016
https://doi.org/10.2308/isys-51428
Partridge Cde Cesare S(2016)Grounding for Ontological Architecture Quality: Metaphysical ChoicesAdvances in Conceptual Modeling10.1007/978-3-319-47717-6_2(9-15)Online publication date: 14-Oct-2016
https://doi.org/10.1007/978-3-319-47717-6_2
Henderson-Sellers B(2015)Why Philosophize; Why not Just Model?Conceptual Modeling10.1007/978-3-319-25264-3_1(3-17)Online publication date: 8-Dec-2015
https://doi.org/10.1007/978-3-319-25264-3_1
Partridge CGonzalez-Perez CHenderson-Sellers B(2013)Are Conceptual Models Concept Models?Proceedings of the 32nd International Conference on Conceptual Modeling - Volume 821710.1007/978-3-642-41924-9_9(96-105)Online publication date: 11-Nov-2013
https://dl.acm.org/doi/10.1007/978-3-642-41924-9_9
Partridge CMitchell Ade Cesare S(2013)Guidelines for Developing Ontological Architectures in Modelling and SimulationOntology, Epistemology, and Teleology for Modeling and Simulation10.1007/978-3-642-31140-6_2(27-57)Online publication date: 2013
https://doi.org/10.1007/978-3-642-31140-6_2

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First-Order Intuitionistic Epistemic Logic

Timed modal epistemic logic

Evaluating epistemic negation in answer set programming

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