A conceptual automated negotiation model for decision making in the construction domain

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1 Citation (Scopus)

Abstract

In this paper, we propose a conceptual automated multi-agent negotiation model for decision making in the construction domain. The proposed model enables software agents to conduct negotiations and autonomously make decisions. The model consists of two components, namely, Agent Architecture and Negotiation Approach. The Agent Architecture combines a Negotiation Algorithm and a Negotiation Protocol that enable each agent to conduct and regulate the negotiation process. The Negotiation Approach combines a Decision-making Process based on Value Management, a Negotiation Process Base that hosts negotiation operations among agents and a Conflict Resolution Algorithm. The paper presents the conceptual findings of these components.

Original languageEnglish
Title of host publicationDistributed Computing and Artificial Intelligence, 13th International Conference
EditorsJulián A. García-García, Ali Semalat, Grzegorz Bocewicz, Paweł Sitek, Javier Bajo, Sigeru Omatu, Izabela Nielsen
PublisherSpringer Verlag
Pages13-21
Number of pages9
ISBN (Print)9783319401614
DOIs
Publication statusPublished - 01 Jan 2016
Event13th International Conference on Distributed Computing and Artificial Intelligence, DCAI 2016 - Sevilla, Spain
Duration: 01 Jun 201603 Jun 2016

Publication series

NameAdvances in Intelligent Systems and Computing
Volume474
ISSN (Print)2194-5357

Other

Other13th International Conference on Distributed Computing and Artificial Intelligence, DCAI 2016
CountrySpain
CitySevilla
Period01/06/1603/06/16

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All Science Journal Classification (ASJC) codes

  • Control and Systems Engineering
  • Computer Science(all)

Cite this

A. Mahmoud, M., Ahmad, M. S., & Mohd Yusoff, M. Z. (2016). A conceptual automated negotiation model for decision making in the construction domain. In J. A. García-García, A. Semalat, G. Bocewicz, P. Sitek, J. Bajo, S. Omatu, & I. Nielsen (Eds.), Distributed Computing and Artificial Intelligence, 13th International Conference (pp. 13-21). (Advances in Intelligent Systems and Computing; Vol. 474). Springer Verlag. https://doi.org/10.1007/978-3-319-40162-1_2