Multi-agent systems in construction–state of the art and prospects

Ren, Zhaomin; Anumba, Chimay J.

doi:10.1016/j.autcon.2003.12.002

Cited by 87 publications

(55 citation statements)

References 18 publications

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“…It is possible to find examples of MAS focused on controlling machinery [9], or on the distinct phases of a project: the tendering procedure [10]; the material supply chain [11]; and the construction phase [8] and [13]. Nevertheless, to the authors' knowledge there is a gap that has not yet been considered satisfactory: the negotiation between designer expertises in the Design phase of the project.…”

Section: Introduction and Related Workmentioning

confidence: 99%

Multiagent System for Detecting and Solving Design-Time Conflicts in Civil Infrastructure

Faus

Grimaldo

Barber

2012

Advances in Intelligent and Soft Computing

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One typical source of problems in the Civil Infrastructure domain is the distributed and collaborative nature of the projects in which different profiles of engineers contribute with designs devoted to the interest of their field of expertise. Thus, situations in which there are different conflicts of interests are quite common. A conflict refers to a situation in which the actions of an engineer collide with the interests of other engineers. In this paper, we present a multi-agent system that, thanks to the use of ontologies and rules on those ontologies, is able to detect profilespecific conflict situations and solve them according to the preferences of the parties involved in the conflict. The conflict solving is based on the Multi Agent Resource Allocation (MARA) theory. The system is applied to a real use case of an urban development where both the road network and the buildings are designed.

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Section: Introduction and Related Workmentioning

confidence: 99%

Multiagent System for Detecting and Solving Design-Time Conflicts in Civil Infrastructure

Faus

Grimaldo

Barber

2012

Advances in Intelligent and Soft Computing

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“…Initiator agents have a higher degree of autonomy; thus posing more challenges to the legal system. Software intelligent agents exist (Ren and Anumba 2004;Dzeng and Lin 2004;Bain and Subirana 2003b;Liang and Huang 2000). It is outside the scope of this paper to review the current agents used in construction.…”

Section: Agencymentioning

confidence: 99%

“…Agents control their decision; they learn and act upon their perception of their environment to maximize the goals of its user or programmer (Ren and Anumba 2004;Dzeng and Lin 2004;Lee 2004). Software agents are computer programs that possess a learning capability and can take decisions on behalf of their users and programmers (Ren and Anumba 2004;Dzeng and Lin 2004). Software agents act on behalf of their owners to promote the owners' desires, unlike support software that supports the owner in making a decision but leaves the decision for the owner to make (Ren and Anumba 2004;Schoop et al 2003).…”

Section: Agencymentioning

confidence: 99%

“…What distinguishes software agents from other software is its degree of autonomy. Agents control their decision; they learn and act upon their perception of their environment to maximize the goals of its user or programmer (Ren and Anumba 2004;Dzeng and Lin 2004;Lee 2004). Software agents are computer programs that possess a learning capability and can take decisions on behalf of their users and programmers (Ren and Anumba 2004;Dzeng and Lin 2004).…”

Section: Agencymentioning

confidence: 99%

“…Software agents are computer programs that possess a learning capability and can take decisions on behalf of their users and programmers (Ren and Anumba 2004;Dzeng and Lin 2004). Software agents act on behalf of their owners to promote the owners' desires, unlike support software that supports the owner in making a decision but leaves the decision for the owner to make (Ren and Anumba 2004;Schoop et al 2003). To understand what software agents are, consider the following hypothetical case: Prelude: Supplier 1 (S1) is responding to an online invitation to bid from the General Contractor (GC) to supply material for a construction project.…”

Section: Agencymentioning

confidence: 99%

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Legal Risk Analysis, Modeling and Programming for E-Commerce in Construction

Ismail

Kamat

2005

Construction Research Congress 2005

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This paper presents an aspect of the ongoing research at the University of Michigan aiming to analyze the status of e-commerce in the construction industry. It identifies impediments and challenges, and research solutions for the identified challenges. The focus is on risk management and legal challenges for e-commerce in construction. Very little, if any, research exists on this area in construction literature. The premise of the argument is that studying the legal aspects and challenges for e-commerce in construction are an essential element to having a strong e-commerce infrastructure. This paper introduces the concept of legal modeling and programming for e-commerce in the construction industry. To present the argument for legal programming, the paper starts by outlining the taxonomy of construction e-commerce risks and introducing the legal risks of doing business through e-commerce in construction. It then looks to the future and considers how to incorporate legal criteria in e-construction applications, design and programming.

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e‐Business in Construction

Anumba¹,

Ruikar²

2008

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Multi-agent systems in construction–state of the art and prospects

Cited by 87 publications

References 18 publications

Multiagent System for Detecting and Solving Design-Time Conflicts in Civil Infrastructure

Multiagent System for Detecting and Solving Design-Time Conflicts in Civil Infrastructure

Legal Risk Analysis, Modeling and Programming for E-Commerce in Construction

e‐Business in Construction

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