Knowledge management in digital economy

Lilia Georgieva, Imran Zia

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

Abstract

Knowledge management is the process of gathering, refining, organising, and disseminating knowledge through which organisations generate value from their intellectual and knowledge-based assets. In this paper we study standard formal models for knowledge management and discuss their transfer to digital economy. We propose a framework for knowledge management applicable to online trading agents. The framework relies on identification of processes which support knowledge management. We express knowledge exchange in epistemic logic. We then translate multi-agent dialogues in a protocol language which is verifiable by model checking. © 2009 Springer Berlin Heidelberg.

Original languageEnglish
Title of host publicationAgent and Multi-Agent Systems: Technologies and Applications - Third KES International Symposium, KES-AMSTA 2009, Proceedings
Pages705-713
Number of pages9
Volume5559 LNAI
DOIs
Publication statusPublished - 2009
Event3rd KES International Symposium on Agent and Multi-Agent Systems: Technologies and Applications - Uppsala, Sweden
Duration: 3 Jun 20095 Jun 2009

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume5559 LNAI
ISSN (Print)0302-9743

Conference

Conference3rd KES International Symposium on Agent and Multi-Agent Systems: Technologies and Applications
Abbreviated titleKES-AMSTA 2009
CountrySweden
CityUppsala
Period3/06/095/06/09

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  • Cite this

    Georgieva, L., & Zia, I. (2009). Knowledge management in digital economy. In Agent and Multi-Agent Systems: Technologies and Applications - Third KES International Symposium, KES-AMSTA 2009, Proceedings (Vol. 5559 LNAI, pp. 705-713). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 5559 LNAI). https://doi.org/10.1007/978-3-642-01665-3_71