Multiagent System for Construction Claims Negotiation

Ren, Zhaomin; Anumba, Chimay J.; Ugwu, O. O.

doi:10.1061/(asce)0887-3801(2003)17:3(180)

Cited by 46 publications

(32 citation statements)

References 11 publications

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“…Resolving and settling claims can take place through negotiation, mediation, arbitration, or litigation (Ren et al 2003). However, analyzing the various causes that contribute to a project's delay is an important task to resolving it (Janney et al1996).…”

Section: Construction Claimsmentioning

confidence: 99%

Construction claims in United Arab Emirates: Types, causes, and frequency

Zaneldin

2006

International Journal of Project Management

132

138

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The United Arab Emirates (UAE) government is investing millions of dollars every year in new facilities to improve the infrastructure of the country. Infrastructure development has been phenomenal in view of the relatively brief period since the country's establishment. In view of this, the construction industry is considered the largest single industry in UAE. Yet, it is also very complex and the most fragmented industry as it involves multidisciplinary participants and several stake holders. Today, construction projects are the subject of more claims than in any other time in history. Claims appear to hinder the completion of construction and cause delays in delivering projects. This research presents the results of a pilot study of the types, causes, and frequency of construction claims in the emirates of Dubai and Abu Dhabi in UAE using a questionnaire survey that was conducted in the two emirates. The data received from the survey respondents is analyzed and recommendations to prevent/reduce claims in construction projects are then presented. It is expected that the findings of this research will help construction firms avoid the main causes of claims and, accordingly, minimize delays and cost overruns in construction projects.

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Section: Construction Claimsmentioning

confidence: 99%

Construction claims in United Arab Emirates: Types, causes, and frequency

Zaneldin

2006

International Journal of Project Management

132

138

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“…Few MASs developed for construction project take into consideration risk or uncertainties. For example, MASCOT -a multi-agent system for construction claims negotiation [31,32] used Zeuthen's strategy [33] based on Bayesian learning approach to simulate negotiation on project design between contractor and designer or contractor and client for risk allocation. Nevertheless, these two models still consider only a limited part of the global project process.…”

Section: Multi-agent Systems For Construction Project Managementmentioning

confidence: 99%

A multi-agent model to manage risks in construction project (SMACC)

Taillandier

Tepeli

et al. 2015

Automation in Construction

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“…The rest may be deduced by analogy. The Bayesian beliefs learning model is based on Zeuthen's negotiation strategy in [23] along with a tradeoff strategy presented by Faratin et al in [9]. After 100 instances for each arrangement have been run, the negotiation outcomes are summarized in Tables 3, 4, and 5.…”

Section: The Effectiveness Of Adaptive Interactionmentioning

confidence: 99%

“…Since an agent typically does not have complete information about the preferences or decision-making processes of other agents, such an incomplete comprehension normally leads to inefficient and ineffective negotiation. Several works in the literature [10,16,19,23] try to solve this problem by enabling an agent with the capability of opponent learning. After knowing the opponent agent's profile, an agent may anticipate the coming result of negotiation to further dominate over other negotiating parties.…”

Section: Introductionmentioning

confidence: 99%

“…Nevertheless, all such frameworks assume that agents can observe the states and actions of other agents and share common knowledge of the payoff function. Then, the Bayesian learning algorithm [23,29] manipulates occurrences of interest by probability distributions. After the agent receives an offer from an opponent, it analyses the offer and modifies its belief.…”

Section: Introductionmentioning

confidence: 99%

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Learning opponent’s beliefs via fuzzy constraint-directed approach to make effective agent negotiation

Lai

Lin²,

2009

Appl Intell

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This work presents a general framework of agent negotiation with opponent learning via fuzzy constraintdirected approach. The fuzzy constraint-directed approach involves the fuzzy probability constraint and the fuzzy instance reasoning. The proposed approach via fuzzy probability constraint can not only cluster the opponent's information in negotiation process as proximate regularities to improve the convergence of behavior patterns, but also eliminate the noisy hypotheses or beliefs to enhance the effectiveness on beliefs learning. By using fuzzy instance method, our approach can reuse the prior opponent knowledge to speed up the problem-solving, and reason the proximate regularities to acquire desirable results on predicting opponent behavior. In addition, the proposed interaction method enables the agent to make a concession dynamically based on expected objectives. Moreover, experimental results suggest that the proposed framework allows an agent to achieve a higher reward, a fairer deal, or a smaller cost of negotiation.

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Multiagent System for Construction Claims Negotiation

Cited by 46 publications

References 11 publications

Construction claims in United Arab Emirates: Types, causes, and frequency

Construction claims in United Arab Emirates: Types, causes, and frequency

A multi-agent model to manage risks in construction project (SMACC)

Learning opponent’s beliefs via fuzzy constraint-directed approach to make effective agent negotiation

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