The multi agent paradigm and organizational abstractions in construction e-business

Esther Adhiambo Obonyo, Chimay Anumba

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

Abstract

The agent paradigm has been used by several researchers to build several complex construction industry specific systems ranging from e-business applications, cross-disciplinary communication to supply-chain management to contract administration. Because of the slow progress in the maturity of the deployment infrastructure, the implemented agent-based applications are generally based on models for closed systems. Given that recent developments in agent-oriented software engineering allow the definition of models that exploit the use of organizational abstractions, there is need to redefine classical agent-systems using the organizational metaphor. This paper focuses on Construction e-business as a deployment context. It starts with background information in the domain and proceeds to describe classical agent-centered models that were used to develop APRON, a construction e-business prototype. The paper then discusses the main drawbacks of the agent-centered approach and demonstrates how the organizational metaphor can be used to address these limitations providing an exemplary procurement scenario.

Original languageEnglish (US)
Title of host publicationEG-ICE 2010 - 17th International Workshop on Intelligent Computing in Engineering
EditorsWalid Tizani
PublisherNottingham
ISBN (Electronic)9781907284601
StatePublished - Jan 1 2019
Event17th International Workshop on Intelligent Computing in Engineering, EG-ICE 2010 - Nottingham, United Kingdom
Duration: Jun 30 2010Jul 2 2010

Publication series

NameEG-ICE 2010 - 17th International Workshop on Intelligent Computing in Engineering

Conference

Conference17th International Workshop on Intelligent Computing in Engineering, EG-ICE 2010
CountryUnited Kingdom
CityNottingham
Period6/30/107/2/10

All Science Journal Classification (ASJC) codes

  • Computer Science Applications
  • Engineering(all)

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