This paper brings together agentorientedprogramming, organisation orientedprogramming and environment orientedprogramming, all of which are programming paradigms that emerged out of research in the area of multi-a...
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This paper brings together agentorientedprogramming, organisation orientedprogramming and environment orientedprogramming, all of which are programming paradigms that emerged out of research in the area of multi-agent systems. In putting together a programming model and concrete platform called JaCaMo which integrates important results and technologies in all those research directions, we show in this paper, with the combined paradigm, that we prefer to call "multi-agent oriented programming", the full potential of multi-agent systems as a programming paradigm. JaCaMo builds upon three existing platforms: Jason for programming autonomous agents, MOISE for programmingagent organisations, and CArtAgO for programming shared environments. This paper also includes a simple example that illustrates the approach and discusses some real-world applications that have been or are being developed with JaCaMo. (C) 2011 Elsevier B.V. All rights reserved.
These last years, the multi-agent domain has proposed several proposals for the development of decentralised and open systems given birth to agent-oriented, environment-oriented, interaction-oriented or organisation-o...
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ISBN:
(纸本)9780769549804
These last years, the multi-agent domain has proposed several proposals for the development of decentralised and open systems given birth to agent-oriented, environment-oriented, interaction-oriented or organisation-orientedprogramming approaches. In this paper, instead of privileging one dimension, we propose a seamless integration of these programming approaches into what we call "multi-agent oriented programming". We discuss how this approach brings the full potential of multi-agent systems as a programming paradigm to be used in the development of Intelligent Environments. We illustrate this with some applications and discuss how it opens interesting perspectives for ambient computing.
This paper presents jacamo-web, an interactive programming IDE for developing multi-agent Systems (MAS). The standard programming method usually follows the sequence of compile, link and execute the application. Alter...
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ISBN:
(纸本)9783030514174;9783030514167
This paper presents jacamo-web, an interactive programming IDE for developing multi-agent Systems (MAS). The standard programming method usually follows the sequence of compile, link and execute the application. Alternatively, the so-called interactive programming provides a way to modify a system while it is running. Besides saving developing time, it maintains the system's availability since the application is kept running while it is being changed. To illustrate jacamo-web interactive functions, we have developed a MAS for the financial market. It checks data of companies and applies known formulae to suggest whether to buy assets or not.
multi-agent systems (MAS) have long been envisioned as a key enabling technology in manufacturing, but this promise is yet to be realized: the lack of proper models, architectures, tooling, and the high level of exper...
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ISBN:
(纸本)9781450356497
multi-agent systems (MAS) have long been envisioned as a key enabling technology in manufacturing, but this promise is yet to be realized: the lack of proper models, architectures, tooling, and the high level of expertise required for designing and programmingagent-based manufacturing systems have hindered their large-scale acceptance. The emerging Web of Things (WoT), now being standardized at the W3C and IETF, provides new research opportunities that could help MAS enter the mainstream. In this paper, we present an approach to design scalable and flexible agent-based manufacturing systems that integrates automated planning with multi-agent oriented programming for the WoT: autonomous agents synthesize production plans using semantic descriptions of Web-based artifacts and coordinate with one another via multi-agent organizations;engineers can program and repurpose the systems on the fly via an intuitive Web user interface. The systems use the Web as an application architecture (and not just as a transport layer), which facilitates the seamless integration of geographically distributed production cells. To demonstrate our approach, we implemented a prototypical production cell that uses industry-grade robots and an augmented reality interface for human workers. Together, these contributions demonstrate a means to achieve an intriguing vision for the forthcoming fourth industrial revolution: a global collective intelligence for manufacturing.
multi-agent systems (MAS) have long been envisioned as a key enabling technology in manufacturing, but this promise is yet to be realized: the lack of proper models, architectures, tooling, and the high level of exper...
详细信息
multi-agent systems (MAS) have long been envisioned as a key enabling technology in manufacturing, but this promise is yet to be realized: the lack of proper models, architectures, tooling, and the high level of expertise required for designing and programmingagent-based manufacturing systems have hindered their large-scale acceptance. The emerging Web of Things (WoT), now being standardized at the W3C and IETF, provides new research opportunities that could help MAS enter the mainstream. In this paper, we present an approach to design scalable and flexible agent-based manufacturing systems that integrates automated planning with multi-agent oriented programming for the WoT: autonomous agents synthesize production plans using semantic descriptions of Web-based artifacts and coordinate with one another via multi-agent organizations; engineers can program and repurpose the systems on the fly via an intuitive Web user interface. The systems use the Web as an application architecture (and not just as a transport layer), which facilitates the seamless integration of geographically distributed production cells. To demonstrate our approach, we implemented a prototypical production cell that uses industry-grade robots and an augmented reality interface for human workers. Together, these contributions demonstrate a means to achieve an intriguing vision for the forthcoming fourth industrial revolution: a global collective intelligence for manufacturing.
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