An Automated Negotiation-based Framework via Multi-Agent System for the Construction Domain

Mahmoud, Moamin A.; Ahmad, Mohd Sharifuddin; Yuso, Mohd Zaliman M.; Idrus, Arazi

doi:10.9781/ijimai.2015.353

Cited by 8 publications

(5 citation statements)

References 22 publications

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“…The study presented in [14] deals with an automated multi-agent negotiation framework in order to elaborate decision making in the construction domain. The proposed framework was composed of negotiation algorithm, negotiation style, negotiation protocol, and solution generators that were integrated into agent architecture.…”

Section: B Multi-agent Systems For Industrial Diagnosismentioning

confidence: 99%

Novel Agent Based-approach for Industrial Diagnosis: A Combined use Between Case-based Reasoning and Similarity Measure

Benkaddour¹,

Taghezout²,

Ascar³

2016

IJIMAI

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-In spunlace nonwovens industry, the maintenance task is very complex, it requires experts and operators collaboration. In this paper, we propose a new approach integrating an agentbased modelling with case-based reasoning that utilizes similarity measures and preferences module. The main purpose of our study is to compare and evaluate the most suitable similarity measure for our case. Furthermore, operators that are usually geographically dispersed, have to collaborate and negotiate to achieve mutual agreements, especially when their proposals (diagnosis) lead to a conflicting situation. The experimentation shows that the suggested agent-based approach is very interesting and efficient for operators and experts who collaborate in INOTIS enterprise.

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Section: B Multi-agent Systems For Industrial Diagnosismentioning

confidence: 99%

Novel Agent Based-approach for Industrial Diagnosis: A Combined use Between Case-based Reasoning and Similarity Measure

Benkaddour¹,

Taghezout²,

Ascar³

2016

IJIMAI

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show abstract

“…In [22], authors have proposed an automated multi-agent negotiation framework for decision making in the construction domain. The presented Architecture allowed software agents to mimic human behaviors and styles in building an automated negotiation system.…”

Section: B Motivation Of Using Agent-based Modeling In Support Of Knmentioning

confidence: 99%

Integrating Agents into a Collaborative Knowledge-based System for Business Rules Consistency Management

Houari¹,

Taghezout²

2016

IJIMAI

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-Capitalization and reuse of expert knowledge are very important for the survival of an enterprise. This paper presents a collaborative approach that utilizes domain ontology and agents. Thanks to our knowledge formalizing process, we give to domain expert an opportunity to store different forms of retrieved knowledge from experiences, design rules, business rules, decision processes, etc. The ontology is built to support business rules management. The global architecture is mainly composed of agents such as Expert agent, Evaluator agent, Translator agent, Security agent and Supervisor agent. The Evaluator agent is at the heart of our functional architecture, its role is to detect the problems that may arise in the consistency management module and provides a solution to these problems in order to validate the accuracy of business rules. In addition, a Security agent is defined to handle both security aspects in rules modeling and multi-agent system. The proposed approach is different from the others in terms of the number of rule's inconsistencies which are detected and treated like contradiction, redundancy, invalid rules, domain violation and rules never applicable, the collaboration that is initiated among business experts and the guarantee of security of the business rules and all the agents which constitute our system. The developed collaborative system is applied in an industrial case study.

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“…Et al. [3] writes about an automated multi-agent negotiation framework for decision making in the construction domain. It enables software agents to conduct negotiations and autonomously make decisions.…”

mentioning

confidence: 99%

IJIMAI Editor's Note - Vol. 3 Issue 5

Crespo¹

2015

IJIMAI

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An Automated Negotiation-based Framework via Multi-Agent System for the Construction Domain

Cited by 8 publications

References 22 publications

Novel Agent Based-approach for Industrial Diagnosis: A Combined use Between Case-based Reasoning and Similarity Measure

Novel Agent Based-approach for Industrial Diagnosis: A Combined use Between Case-based Reasoning and Similarity Measure

Integrating Agents into a Collaborative Knowledge-based System for Business Rules Consistency Management

IJIMAI Editor's Note - Vol. 3 Issue 5

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