CPES Testing with mosaik: Co-Simulation Planning, Execution and Analysis

The complex nature of cyber-physical energy systems (CPES) makes systematic testing of new technologies for these setups challenging. Co-simulation has been identified as an efficient and flexible test approach that allows consideration of interdisciplinary dynamic interactions. However, basic coupling of simulation models alone fails to account for many of the challenges of simulation-based multi-domain testing such as expert collaboration in test planning. This paper illustrates an extended CPES test environment based on the co-simulation framework mosaik. The environment contains capabilities for simulation planning, uncertainty quantification and the development of multi-agent systems. An application case involving virtual power plant control is used to demonstrate the platform’s features. Future extensibility of the highly modular test environment is outlined.

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Multi Agent Approach for Environmental Customer Collaboration: Study Case in Automotive Spare Parts Sector

International Journal of Sustainable Development and Planning ◽

10.18280/ijsdp.160313 ◽

2021 ◽

Vol 16 (3) ◽

pp. 525-533

Author(s):

Mohamed Dif El Idrissi ◽

Abdelkabir Charkaoui ◽

Abdelwahed Echchatbi

Keyword(s):

Supply Chain ◽

Information Exchange ◽

New Technologies ◽

Exchange Process ◽

Hybrid Approach ◽

Spare Parts ◽

Multi Agent Systems ◽

Industrial Case Study ◽

Industrial Enterprises ◽

Multi Agent

Recently, Environmental Customer collaboration has gained a considerable attention among researchers and Industrial enterprises. Many studies highlight that organizations can achieve a good performance level while considering customer collaboration and environmental regulation. However, the literature in the Green Supply Chain Management (GSCM) suggests having a more structured collaboration and information exchange process based between Supply Chain partners on new technologies. Towards this end, a hybrid approach based on Multi Agent Systems and Multi Objective Linear Programming is proposed as mean of automating and facilitating the environmental customer collaboration process. This research shows that MAS can be utilized to reduce the complexity and facilitate communication in the GSCM context. The applicability of the developed MAS approach is demonstrated using an industrial case study in the automotive spare parts sector.

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AGR4BS: A Generic Multi-Agent Organizational Model for Blockchain Systems

Big Data and Cognitive Computing ◽

10.3390/bdcc6010001 ◽

2021 ◽

Vol 6 (1) ◽

pp. 1

Author(s):

Hector Roussille ◽

Önder Gürcan ◽

Fabien Michel

Keyword(s):

Social Systems ◽

Generic Model ◽

Multi Agent Systems ◽

Dynamic Interactions ◽

The Public ◽

Agent Systems ◽

Unified Field ◽

Multi Agent ◽

The Rich ◽

Agent Group

Blockchain is a very attractive technology since it maintains a public, append-only, immutable and ordered log of transactions which guarantees an auditable ledger accessible by anyone. Blockchain systems are inherently interdisciplinary since they combine various fields such as cryptography, multi-agent systems, distributed systems, social systems, economy, and finance. Furthermore, they have a very active and dynamic ecosystem where new blockchain platforms and algorithms are developed continuously due to the interest of the public and the industries to the technology. Consequently, we anticipate a challenging and interdisciplinary research agenda in blockchain systems, built upon a methodology that strives to capture the rich process resulting from the interplay between the behavior of agents and the dynamic interactions among them. To be effective, however, modeling studies providing insights into blockchain systems, and appropriate description of agents paired with a generic understanding of their components are needed. Such studies will create a more unified field of blockchain systems that advances our understanding and leads to further insight. According to this perspective, in this study, we propose using a generic multi-agent organizational modeling for studying blockchain systems, namely AGR4BS. Concretely, we use the Agent/Group/Role (AGR) organizational modeling approach to identify and represent the generic entities which are common to blockchain systems. We show through four real case studies how this generic model can be used to model different blockchain systems. We also show briefly how it can be used for modeling three well-known attacks on blockchain systems.

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Norm creation, spreading and emergence: A survey of simulation models of norms in multi-agent systems

Multiagent and Grid Systems ◽

10.3233/mgs-2011-0167 ◽

2011 ◽

Vol 7 (1) ◽

pp. 21-54 ◽

Cited By ~ 36

Author(s):

Bastin Tony Roy Savarimuthu ◽

Stephen Cranefield

Keyword(s):

Simulation Models ◽

Multi Agent Systems ◽

Agent Systems ◽

Multi Agent

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Financial Markets in the Internet Age

Intelligent Information Technologies ◽

10.4018/978-1-59904-941-0.ch122 ◽

2011 ◽

pp. 2119-2142

Author(s):

Ross A. Lumley

Keyword(s):

Financial Markets ◽

Financial Market ◽

New Technologies ◽

Intelligent Agent ◽

Financial Instruments ◽

Multi Agent Systems ◽

Agent Systems ◽

Internet Age ◽

Technological Advances ◽

Multi Agent

The chapter reviews how the financial markets historically have been affected by new technologies and shows that, time and again, technological advances have impacted the very workflow of the financial market processes including the available financial instruments. Present technologies are discussed leading to a framework for how they form the basis for building intelligent agent systems. An overview of multi-agent systems is provided followed by several examples of multi-agent systems supporting investors in financial markets.

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Financial Markets in the Internet Age

Creating Knowledge Based Organizations ◽

10.4018/978-1-59140-162-9.ch004 ◽

2011 ◽

pp. 80-108

Author(s):

Ross A. Lumley

Keyword(s):

Financial Markets ◽

Financial Market ◽

New Technologies ◽

Intelligent Agent ◽

Financial Instruments ◽

Multi Agent Systems ◽

Agent Systems ◽

Internet Age ◽

Technological Advances ◽

Multi Agent

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Design Agents with Negotiation Capabilities

Internet Commerce and Software Agents ◽

10.4018/978-1-930708-01-3.ch008 ◽

2001 ◽

pp. 122-149

Author(s):

Jana Dospisil

Keyword(s):

User Interfaces ◽

New Technologies ◽

Multi Agent Systems ◽

Negotiation Strategy ◽

Agent Systems ◽

Decision Making Processes ◽

Multi Agent ◽

High Level ◽

Near Future ◽

Reasoning Engine

Agents are viewed as the next significant software abstraction, and it is expected they will become as ubiquitous as graphical user interfaces are today. Multi-agent systems have a key capability to reallocate tasks among their members, and this may result in significant savings and improvements in many domains, such as resource allocation, scheduling, e-commerce, etc. In the near future, agents will roam the Internet, selling and buying information and services. These agents will evolve from their present-day form—simple carriers of transactions—to efficient decision makers. It is envisaged that the decision-making processes and interactions between agents will be very fast (Kephart, 1998). The importance of automated negotiation systems is increasing with the emergence of new technologies supporting faster reasoning engines and mobile code. A central part of agent systems is a sophisticated reasoning engine that enables the agents to reallocate their tasks, optimize outcomes, and negotiate with other agents. The negotiation strategy used by the reasoning engine also requires high-level interagent communication protocols and suitable collaboration strategies. Both of these subsystems—a reasoning engine and a collaboration strategy—typically result in complicated agent designs and implementations that are difficult to maintain.

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