Multi agent systems: An example of power system dynamic reconfiguration

Ponci, Ferdinanda; Cristaldi, L.; Faifer, Marco; Riva, M.

doi:10.3233/ica-2010-0353

Cited by 14 publications

(4 citation statements)

References 34 publications

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“…As System Complexity derives from the flexibility of agents, the evolution process can be described by modeling agents' behaviors. In recent years, ABM has been used to deal with problems such as power distribution, manufacturing, finance, and natural resource management [23][24][25][26][27][28][29][30]. The primary advantage of an agentbased simulation is that it allows the study of emergent behavior of complex systems in a bottom-up fashion [31].…”

Section: Open Innovation Mcpd Is a Typical Kind Of Open Innovationmentioning

confidence: 99%

Agent Behavior-Based Simulation Study on Mass Collaborative Product Development Process

Zhang

2015

Mathematical Problems in Engineering

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Mass collaborative product development (MCPD) benefits people by high innovation products with lower cost and shorter lead time due to quick development of group innovation, Internet-based customization, and prototype manufacturing. Simulation is an effective way to study the evolution process and therefore to guarantee the success of MCPD. In this paper, an agent behavior-based simulation approach of MCPD is developed, which models the MCPD process as the interactive process of design agents and the environment objects based on Complex Adaptive System (CAS) theory. Next, the structure model of design agent is proposed, and the modification and collaboration behaviors are described. Third, the agent behavior-based simulation flow of MCPD is designed. At last, simulation experiments are carried out based on an engineering case of mobile phone design. The experiment results show the following: (1) the community scale has significant influence on MCPD process; (2) the simulation process can explicitly represent the modification and collaboration behaviors of design agents; (3) the community evolution process can be observed and analyzed dynamically based on simulation data.

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Section: Open Innovation Mcpd Is a Typical Kind Of Open Innovationmentioning

confidence: 99%

Agent Behavior-Based Simulation Study on Mass Collaborative Product Development Process

Zhang

2015

Mathematical Problems in Engineering

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“…An agent-based system is a society of autonomous agents cooperating to achieve a global objective through interaction, communication, or transaction [28,86]. Many agent-based systems have been proposed in many distributed engineering fields such as concurrent engineering [11], collaborative and intelligent manufacturing [34,42,72], distributed production [80], distributed control [27,59,82], product design [43,53], simulation [26,36], and industrial applications [57,69,77]. There are actually many definitions of the agent paradigm [6,16,18,20,25,28,86] and several propositions of typologies [47,67], but new types of agents [81] and new types of applications [48,49,66] continue to emerge.…”

Section: Fuzzy Agent Modelingmentioning

confidence: 99%

Fuzzy agent-based approach for consensual design synthesis in product configuration

Fougères

Ostrosi

2013

ICA

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The agent paradigm can be quite straightforwardly applied to handle complex uncertain problems where global knowledge is inherently distributed and shared by a number of agents, aiming to achieve a consensual solution in a collaborative way. In this context, the use of fuzzy agents, which implement design activity by means of fuzzy logic, is highly recommended due to the uncertain nature of design activity and design problems. In this paper, fuzzy agents are proposed to seek consensus in product configuration. This research set out to take a holistic view of the design for configurations and to integrate the consensus seeking in product configuration. A formal model based on the fuzzy set theory is used to represent the consensus. To define measures for consensus evaluation the concepts of intra and inter consensus design coefficients are also used. Consensual configuration, defined as consensus nucleus of configurations, emerges as the part or the fragment of configurations which receives the maximum degree of consensus. In the world of agents, the proposed approach considers consensus as the overlapping of perspectives of fuzzy agents. Fuzzy agents, their interactions and organizations are formalized and modeled to support this holistic view of designs for configurations. A.-J. Fougères and E. Ostrosi / Fuzzy agent-based approach for consensual design synthesis in product configuration

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“…All this accentuates the need for an agent-based solution [4,8,21,23]. Agents are autonomous problem solvers that can act flexibly, e.g., interacting with other agents through negotiation (see [28]) and cooperation (see [25]). In addition, agent-based solutions have ISSN 1069-2509/12/$27.50  2012 -IOS Press and the author(s).…”

Section: Introductionmentioning

confidence: 99%

Agent-based cloud workflow execution

Gutiérrez-García

Sim

2012

ICA

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Cloud computing offers an economical and feasible solution for scientific workflow applications requiring large amounts of computational resources and expensive hardware. Supporting Cloud workflow execution involves: (i) allocating and composing a collection of Cloud resources, and (ii) coordinating distributed and self-interested participants. The contributions of this research are: (i) proposing an agent-based approach for supporting workflow execution in one or multiple Clouds, (ii) defining Petri-net based methodologies to design workflows and Cloud resources that sustain concurrent and parallel management of workflows, (iii) implementing an agent-based testbed to simulate distributed workflow execution, and (iv) providing empirical evidence to demonstrate the effectiveness and efficiency of agent-based Cloud workflow execution. The agents are endowed with distributed algorithms, e.g., contract net protocol, to allocate and compose Cloud resources based on workflow requirements. Simulation results demonstrated that: (i) Agents effectively executed (with a 100% success rate) workflows autonomously, even when dealing with concurrent workflow executions, (ii) task parallelization was efficiently achieved in randomly created workflows with different levels of parallelism and ordering constraints, (iii) workflow execution was efficiently achieved since the makespan and number of messages exchanged increased linearly with the number of tasks.

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Multi agent systems: An example of power system dynamic reconfiguration

Cited by 14 publications

References 34 publications

Agent Behavior-Based Simulation Study on Mass Collaborative Product Development Process

Agent Behavior-Based Simulation Study on Mass Collaborative Product Development Process

Fuzzy agent-based approach for consensual design synthesis in product configuration

Agent-based cloud workflow execution

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