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Journal ArticleDOI

Past, Present, and Future of Industrial Agent Applications

Paulo Leitão, +2 more
- 01 Nov 2013 - 
- Vol. 9, Iss: 4, pp 2360-2372
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TLDR
This manuscript provides the comprehensive overview of methodologies, architectures and applications of agents in industrial domain from early nineties up to present and gives an outlook of the current trends as well as challenges and possible future application domains of industrial agents.
Abstract
Industrial agents technology leverages the benefits of multiagent systems, distributed computing, artificial intelligence techniques and semantics in the field of production, services and infrastructure sectors, providing a new way to design and engineer control solutions based on the decentralization of control over distributed structures. The key drivers for this application are the benefits of agent-based industrial systems, namely in terms of robustness, scalability, reconfigurability and productivity, all of which translate to a greater competitive advantage. This manuscript monitors the chronology of research and development of the industrial applications of multiagent and holonic systems. It provides the comprehensive overview of methodologies, architectures and applications of agents in industrial domain from early nineties up to present. It also gives an outlook of the current trends as well as challenges and possible future application domains of industrial agents.

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Citations
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Smart Factory of Industry 4.0: Key Technologies, Application Case, and Challenges

TL;DR: A hierarchical architecture of the smart factory was proposed first, and then the key technologies were analyzed from the aspects of the physical resource layer, the network layer, and the data application layer, which showed that the overall equipment effectiveness of the equipment is significantly improved.
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A Review of Architectures and Concepts for Intelligence in Future Electric Energy Systems

TL;DR: An overview of the state of the art and recent developments enabling higher intelligence in future smart grids is provided and the integration of renewable sources and storage systems into the power grids is analyzed.
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Smart Agents in Industrial Cyber–Physical Systems

TL;DR: This work surveys and analyzes the current state of the industrial application of agent technology in CPSs, and provides a vision on the way agents can effectively enable emerging CPS challenges.
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An event-driven manufacturing information system architecture for Industry 4.0

TL;DR: The Line Information System Architecture (LISA), is presented, an event-driven architecture featuring loose coupling, a prototype-oriented information model and formalised transformation services designed to enable flexible factory integration and data utilisation.
References
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Journal ArticleDOI

Intelligent Agents: Theory and Practice

TL;DR: Agent theory is concerned with the question of what an agent is, and the use of mathematical formalisms for representing and reasoning about the properties of agents as discussed by the authors ; agent architectures can be thought of as software engineering models of agents; and agent languages are software systems for programming and experimenting with agents.
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An Introduction to MultiAgent Systems

TL;DR: A multi-agent system is a distributed computing system with autonomous interacting intelligent agents that coordinate their actions so as to achieve its goal(s) jointly or competitively.
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Developing Multi-Agent Systems with JADE

TL;DR: JADE (Java Agent Development Framework) is a software framework to make easy the development of multi-agent applications in compliance with the FIPA specifications and can be considered a middle-ware that implements an efficient agent platform and supports theDevelopment of multi agent systems.
Journal ArticleDOI

The Gaia Methodology for Agent-Oriented Analysis and Design

TL;DR: The Gaia methodology is both general, in that it is applicable to a wide range of multi-agent systems, and comprehensive, in the that it deals with both the macro-level and the micro-level aspects of systems.
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