Developing Multi-agent-based Thought Experiments: A Case Study on the Evolution of Gamete Dimorphism

2017 ◽  
pp. 51-65
Author(s):  
Umit Aslan ◽  
Sugat Dabholkar ◽  
Uri Wilensky
Keyword(s):  
Thought Experiments ◽  
Agent Based ◽  
Multi Agent

scholarly journals A case study on availability of sensor data in agent cooperation

2010 ◽  
Vol 7 (3) ◽  
pp. 597-615
Author(s):  
Christian Johansson ◽  
Fredrik Wernstedt ◽  
Paul Davidsson
Keyword(s):  
Production Costs ◽  
Sensor Data ◽  
Energy Market ◽  
Physical Processes ◽  
Agent Based ◽  
Production And Distribution ◽  
Multi Agent ◽  
Problem Characteristic ◽  
Agent Cooperation

Multi-agent cooperation can in several cases be used in order to mitigate problems relating to task sharing within physical processes. In this paper we apply agent based solutions to a class of problems defined by their property of being predictable from a macroscopic perspective while being highly stochastic when viewed at a microscopic level. These characteristic properties can be found in several industrial processes and applications, e.g. within the energy market where the production and distribution of electricity follow this pattern. Another defining problem characteristic is that the supply is usually limited as well as consisting of several layers of differentiating production costs. We evaluate and compare the performance of the agent system in three different scenarios, and for each such scenario it is shown to what degree the optimization system is dependent on the level of availability of sensor data.

Agent-Based Modelling in Multicellular Systems Biology

2020 ◽  
pp. 369-389
Author(s):  
Sara Montagna ◽  
Andrea Omicini
Keyword(s):  
Developmental Biology ◽  
Drosophila Melanogaster ◽  
Systems Biology ◽  
Computational Models ◽  
The Self ◽  
Agent Based Simulation ◽  
Agent Based ◽  
Agent Based Modelling ◽  
Multi Agent

This chapter aims at discussing the content of multi-agent based simulation (MABS) applied to computational biology i.e., to modelling and simulating biological systems by means of computational models, methodologies, and frameworks. In particular, the adoption of agent-based modelling (ABM) in the field of multicellular systems biology is explored, focussing on the challenging scenarios of developmental biology. After motivating why agent-based abstractions are critical in representing multicellular systems behaviour, MABS is discussed as the source of the most natural and appropriate mechanism for analysing the self-organising behaviour of systems of cells. As a case study, an application of MABS to the development of Drosophila Melanogaster is finally presented, which exploits the ALCHEMIST platform for agent-based simulation.

An Agent-Based Collaborative Negotiation System for Global Manufacturing Supply Chain Management

2008 ◽  
pp. 2598-2617
Author(s):  
Jianxin Jiao ◽  
Xiao You ◽  
Arun Kumar
Keyword(s):  
Supply Chain ◽  
Supply Chain Management ◽  
Broad Class ◽  
Chain Management ◽  
Agent Based ◽  
Global Manufacturing ◽  
Manufacturing Supply Chain ◽  
Collaborative Negotiation ◽  
Multi Agent

This chapter applies the multi-agent system paradigm to collaborative negotiation in a global manufacturing supply chain network. Multi-agent computational environments are suitable for dealing with a broad class of coordination and negotiation issues involving multiple autonomous or semi-autonomous problem-solving agents. An agent-based multi-contract negotiation system is proposed for global manufacturingsupply chain coordination. Also reported is a case study of mobile phone global manufacturing supply chain management.

An Effectiveness Modelling Approach for IoT-Based Smart Grids

2021 ◽  
pp. 92-111
Author(s):  
Dongming Fan ◽  
Yi Ren ◽  
Qiang Feng
Keyword(s):  
Smart Grid ◽  
Smart Grids ◽  
Information Technologies ◽  
Self Healing ◽  
New Paradigm ◽  
Agent Based ◽  
Efficient Energy ◽  
Real Time Analysis ◽  
Multi Agent

The smart grid is a new paradigm that enables highly efficient energy production, transport, and consumption along the whole chain from the source to the user. The smart grid is the combination of classical power grid with emerging communication and information technologies. IoT-based smart grid will be one of the largest instantiations of the IoT in the future. The effectiveness of IoT-based smart grid is mainly reflected in observability, real-time analysis, decision-making, and self-healing. A proper effectiveness modeling approach should maintain the reliability and maintainability of IoT-based smart grids. In this chapter, a multi-agent-based approach is proposed to model the architecture of IoT-based smart grids. Based on the agent framework, certain common types of agents are provided to describe the operation and restoration process of smart grids. A case study is demonstrated to model an IoT-based smart grid with restoration, and the interactive process with agents is proposed simultaneously.

scholarly journals A Novel Multi-Agent-Based Collaborative Virtual Manufacturing Environment Integrated with Edge Computing Technique

Energies ◽  
2019 ◽  
Vol 12 (14) ◽  
pp. 2815
Author(s):  
Xiaohui Zhang ◽  
Shufeng Tang ◽  
Xinhua Liu ◽  
Reza Malekian ◽  
Zhixiong Li
Keyword(s):  
Virtual Manufacturing ◽  
Edge Computing ◽  
Manufacturing Environment ◽  
Computing Technique ◽  
Agent Based ◽  
System A ◽  
Multi Agent ◽  
Save Energy ◽  
Virtual Manufacturing Environment

This paper proposes a multi-agent-based collaborative virtual manufacturing environment (VME) to save energy consumption and improve efficiency in the manufacturing process. In order to achieve the high autonomy of the manufacturing system, a multi-agent system (MAS) is designed to build a collaborative VME. In this new VME environment, edge computing is embedded to strengthen the cyber resource utilization and system economy. Moreover, an efficient communication channel between networks is proposed. The subsequent cooperation and collaboration protocols among agents are designed to ensure flexible and process-oriented operations. Furthermore, the fuzzy resolution algorithm is employed to resolve the competition conflicts among function-similar MASs in the distributed manufacturing scenario. Lastly, a simulation and case study are performed to evaluate the performance of the proposed VME in Internet of Things (IoT)-based manufacturing. The analysis results have demonstrated the feasibility and effectiveness of the proposed VME system.

Educational Geostimulation

2011 ◽  
pp. 3321-3338
Author(s):  
Vasco Furtado ◽  
Eurico Vasconcelos
Keyword(s):  
Police Officers ◽  
Urban Environments ◽  
Pedagogical Tools ◽  
Tutoring Systems ◽  
Agent Based ◽  
Training Tool ◽  
Multi Agent ◽  
The Relationship ◽  
Urban Activities

In this work we will describe EGA (educational geosimulation architecture), an architecture for the development of pedagogical tools for training in urban activities based on MABS (multi-agent based simulation), GIS (geographic information systems), and ITS (intelligent tutoring systems). EGA came as a proposal for the lack of appropriate tools for the training of urban activities with high risk and/or high cost. As a case study, EGA was used for the development of a training tool for the area of public safety, the ExpertCop system. ExpertCop is a geosimulator of criminal dynamics in urban environments that aims to train police officers in the activity of preventive policing allocation. ExpertCop intends to induce students to reflect about their actions regarding resources allocation and to understand the relationship between preventive policing and crime.

An Agent-Based Collaborative Negotiation System for Global Manufacturing Supply Chain Management

2006 ◽  
pp. 243-271 ◽  
Author(s):  
Jianxin Jiao ◽  
Xiao You ◽  
Arun Kumar
Keyword(s):  
Supply Chain ◽  
Supply Chain Management ◽  
Broad Class ◽  
Chain Management ◽  
Agent Based ◽  
Global Manufacturing ◽  
Manufacturing Supply Chain ◽  
Collaborative Negotiation ◽  
Multi Agent

This chapter applies the multi-agent system paradigm to collaborative negotiation in a global manufacturing supply chain network. Multi-agent computational environments are suitable for dealing with a broad class of coordination and negotiation issues involving multiple autonomous or semi-autonomous problem-solving agents. An agent-based multi-contract negotiation system is proposed for global manufacturingsupply chain coordination. Also reported is a case study of mobile phone global manufacturing supply chain management.

The INGENIAS Methodology and Tools

2011 ◽  
pp. 236-276 ◽  
Author(s):  
Juan Pavon ◽  
Jorge J. Gomez-Sanz ◽  
Rubén Fuentes
Keyword(s):  
Code Generation ◽  
Development Process ◽  
Business Case ◽  
Multi Agent Systems ◽  
Agent Based ◽  
Support Tools ◽  
Business Case Study ◽  
Multi Agent ◽  
Automated Code Generation

INGENIAS provides a notation for modeling multi-agent systems (MAS) and a well-defined collection of activities to guide the development process of an MAS in the tasks of analysis, design, verification, and code generation, supported by an integrated set of tools—the INGENIAS Development Kit (IDK). These tools, as well as the INGENIAS notation, are based on five meta-models that define the different views and concepts from which a multi-agent system can be described. Using meta-models has the advantage of flexibility for evolving the methodology and adopting changes to the notation. In fact, one of the purposes in the conception of this methodology is to integrate progressive advances in agent technology, towards a standard for agent-based systems modeling that could facilitate the adoption of the agent approach by the software industry. The chapter presents a summary of the INGENIAS notation, development process, and support tools. The use of INGENIAS is demonstrated in an e-business case study. This case study includes concerns about the development process, modeling with agent concepts, and implementation with automated code generation facilities.

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