Modeling Agent-Based Collaborative Process

Ahmed, Moamin; Ahmad, Mohd Sharifuddin; Yusoff, Mohd Zamri

doi:10.1007/978-3-642-16693-8_32

Cited by 17 publications

(5 citation statements)

References 3 publications

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“…The SSI model encompasses three layers, unite layer, integration layer, and system layer, each of these layers is associated with development technology. As shown in Figure 7, Unite layer is associated with Agent-based Simulation (ABS) that is broadly used in various domains [26]- [29], [39]- [41], integration layer with the Internet of Things (IoT), and system-level with Discrete Event Simulation (DES) and Cyber-Physical System (CPS).…”

Section: Smart System Integrationmentioning

confidence: 99%

A Development Methodology Framework of Smart Manufacturing Systems (Industry 4.0)

Mahmoud¹,

Ramli²,

Azman³

et al. 2020

Int. J. Adv. Sci. Eng. Inf. Technol.

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Numerous studies have been conducted to reveal the importance of Smart Manufacturing Systems (SMS) or Industry 4.0, but very few studies have been made to answer the question on "how to establish a new SMS" taking into account the required efficiency, reliability, cost-effectiveness, and sustainability that requires pre-implementation planning and assessment. Besides, the discussion on the challenges of SMS adoption is very limited in the literature studies. In particular, the recent configuration models proposed by literature overlooked the pivotal role of robots in any SMS project. Therefore, a clear and concise development framework is needed to provide a better understanding of the development process of a new SMS, which leads to higher adoption of this new technology. To do so, the main objective of this study is to propose a development methodology framework that enables stakeholders to build better SMS capabilities while enhancing the adoption awareness of industry 4.0 among manufacturers. The framework consists of four phases, system and robots' configuration, smart system components, smart system integration, and evaluation and selection. This study supports the realization of Industry 4.0, particularly in Malaysia. Currently, Malaysia is behind other ASEAN countries like Indonesia and Singapore as the highest growth country in the digital economy. The proposed methodology is expected to support different industries in the adoption of the technology in building a new SMS or evaluating an existing one.

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Section: Smart System Integrationmentioning

confidence: 99%

A Development Methodology Framework of Smart Manufacturing Systems (Industry 4.0)

Mahmoud¹,

Ramli²,

Azman³

et al. 2020

Int. J. Adv. Sci. Eng. Inf. Technol.

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“…Intelligent software agents have been widely used in distributed artificial intelligence due to their autonomous, self-interested, rational abilities [16]- [22], and social abilities [23]- [27]. An agent is a computer system that is capable of independent (autonomous) action on behalf of its user or owner.…”

Section: A Related Work On Student Engagementmentioning

confidence: 99%

An Emotion-based Model for Improving Students’ Engagement using Agent-based Social Simulator

Subramainan¹,

Mahmoud²,

Ahmad³

et al. 2016

International Journal on Advanced Science, Engineering and Information Technology

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Students' emotional engagement in classrooms has always been regarded as a crucial factor influencing educational outcomes. Emotionally engaged students are highly motivated to attend classes and participate actively in discussions. Conversely, emotionally disengaged students are habitual truants and/or often misbehave in classrooms. It is time-consuming to conduct research using traditional methods such as data collection or questionnaire. Furthermore, as these experiments are conducted on humans, limited settings can be organized and difficult to control/monitor. Therefore, in this paper, we present our work-in-progress to address the problem. We propose a conceptual emotion-based model that is animated by an agent-based social simulator. We also propose an algorithmic approach that decides whether to maintain or update a proposed action plan for improving students' engagement in a classroom. The rudimentary theory of this proposal is based on three main elements: the engagement level of students, the emotional state of a lecturer and the emotional state of students in a classroom.

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“…Intelligent software agents have been widely used in distributed artificial intelligence and due to their autonomous, self-interested and rational abilities, agents are well-suited for automated negotiation on behalf of humans [2,25,26,27,28,29,30]. According to Kexing [2], automated negotiation is a system that applies artificial intelligence and information and communication technology to negotiation strategies, utilizing agent and decision theories.…”

Section: Related Workmentioning

confidence: 99%

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

Mahmoud¹,

Ahmad²,

Yuso³

et al. 2015

IJIMAI

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-In this paper, we propose an automated multi-agent negotiation framework for decision making in the construction domain. It enables software agents to conduct negotiations and autonomously make decisions. The proposed framework consists of two types of components, internal and external. Internal components are integrated into the agent architecture while the external components are blended within the environment to facilitate the negotiation process. The internal components are negotiation algorithm, negotiation style, negotiation protocol, and solution generators. The external components are the negotiation base and the conflict resolution algorithm. We also discuss the decision making process flow in such system. There are three main processes in decision making for specific projects, which are propose solutions, negotiate solutions and handling conflict outcomes (conflict resolution). We finally present the proposed architecture that enables software agents to conduct automated negotiation in the construction domain.

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Modeling Agent-Based Collaborative Process

Cited by 17 publications

References 3 publications

A Development Methodology Framework of Smart Manufacturing Systems (Industry 4.0)

A Development Methodology Framework of Smart Manufacturing Systems (Industry 4.0)

An Emotion-based Model for Improving Students’ Engagement using Agent-based Social Simulator

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

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