Multi-agent Systems Development as a Software Engineering Enterprise

1998 ◽  
pp. 46-60 ◽  
Author(s):  
Marco Bozzano ◽  
Giorgio Delzanno ◽  
Maurizio Martelli ◽  
Viviana Mascardi ◽  
Floriano Zini
Keyword(s):  
Software Engineering ◽  
Systems Development ◽  
Multi Agent Systems ◽  
Agent Systems ◽  
Multi Agent ◽  
Engineering Enterprise

Multi-Agent Systems as Computational Organizations

2011 ◽  
pp. 1658-1683
Author(s):  
Franco Zambonelli ◽  
Nicholas R. Jennings ◽  
Michael Wooldridge
Keyword(s):  
Software Engineering ◽  
Software Development ◽  
Systems Development ◽  
Multi Agent Systems ◽  
Design Development ◽  
Analysis And Design ◽  
Agent Systems ◽  
Multi Agent ◽  
Traditional Approaches ◽  
System Paradigm

The multi-agent system paradigm introduces a number of new design/development issues when compared with more traditional approaches to software development and calls for the adoption of new software engineering abstractions. To this end, in this chapter, we elaborate on the potential of analyzing and architecting complex multi-agent systems in terms of computational organizations. Specifically, we identify the appropriate organizational abstractions that are central to the analysis and design of such systems, discuss their role and importance, and show how such abstractions are exploited in the context of the Gaia methodology for multi-agent systems development.

Multi-Agent Systems as Computational Organizations

2011 ◽  
pp. 136-171 ◽  
Author(s):  
Franco Zambonelli ◽  
Nicholas R. Jennings ◽  
Michael Wooldridge
Keyword(s):  
Software Engineering ◽  
Software Development ◽  
Systems Development ◽  
Multi Agent Systems ◽  
Design Development ◽  
Analysis And Design ◽  
Agent Systems ◽  
Multi Agent ◽  
Traditional Approaches ◽  
System Paradigm

The multi-agent system paradigm introduces a number of new design/development issues when compared with more traditional approaches to software development and calls for the adoption of new software engineering abstractions. To this end, in this chapter, we elaborate on the potential of analyzing and architecting complex multi-agent systems in terms of computational organizations. Specifically, we identify the appropriate organizational abstractions that are central to the analysis and design of such systems, discuss their role and importance, and show how such abstractions are exploited in the context of the Gaia methodology for multi-agent systems development.

Social Structure Based Design Patterns for Agent-Oriented Software Engineering

2009 ◽  
pp. 773-796
Author(s):  
Manuel Kolp ◽  
Stéphane Faulkner ◽  
Yves Wautelet
Keyword(s):  
Software Engineering ◽  
Design Patterns ◽  
Autonomous Agents ◽  
Knowledge Bases ◽  
Multi Agent Systems ◽  
Business Systems ◽  
Agent Systems ◽  
Social Patterns ◽  
Agent Oriented Software Engineering ◽  
Multi Agent

Multi-agent systems (MAS) architectures are gaining popularity over traditional ones for building open, distributed, and evolving software required by today’s corporate IT applications such as e-business systems, Web services, or enterprise knowledge bases. Since the fundamental concepts of multi-agent systems are social and intentional rather than object, functional, or implementationoriented, the design of MAS architectures can be eased by using social patterns. They are detailed agent-oriented design idioms to describe MAS architectures composed of autonomous agents that interact and coordinate to achieve their intentions, like actors in human organizations. This article presents social patterns and focuses on a framework aimed to gain insight into these patterns. The framework can be integrated into agent-oriented software engineering methodologies used to build MAS. We consider the Broker social pattern to illustrate the framework. An overview of the mapping from system architectural design (through organizational architectural styles), to system detailed design (through social patterns), is presented with a data integration case study. The automation of creating design patterns is also discussed.

THE GAIA2JADE PROCESS FOR MULTI-AGENT SYSTEMS DEVELOPMENT

2006 ◽  
Vol 20 (2-4) ◽  
pp. 251-273 ◽  
Author(s):  
Pavlos Moraitis ◽  
Nikolaos Spanoudakis
Keyword(s):  
Systems Development ◽  
Multi Agent Systems ◽  
Agent Systems ◽  
Multi Agent

scholarly journals Use of UML 2.1 to Model Multi-Agent Systems based on a Goal-driven Software Engineering Ontology

2008 ◽  
Author(s):  
Pornpit Wongthongtham ◽  
Darshan Dillon ◽  
Tharam Dillon ◽  
Elizabeth Chang
Keyword(s):  
Software Engineering ◽  
Multi Agent Systems ◽  
Agent Systems ◽  
Multi Agent

scholarly journals From Algorithms to (Sub-)Symbolic Inferences in Multi-Agent Systems

2006 ◽  
Vol 1 (3) ◽  
pp. 5 ◽  
Author(s):  
Boldur E. Bărbat ◽  
Sorin C. Negulescu
Keyword(s):  
Information Technology ◽  
Software Engineering ◽  
Position Paper ◽  
Multi Agent Systems ◽  
Agent Architecture ◽  
Agent Systems ◽  
Symbolic Reasoning ◽  
Multi Agent ◽  
Intelligent Interaction ◽  
Future Work

Extending metaphorically the Moisilean idea of “nuanced-reasoning logic” and adapting it to the e-world age of Information Technology (IT), the paper aims at showing that new logics, already useful in modern software engineering, become necessary mainly for Multi-Agent Systems (MAS), despite obvious adversities. The first sections are typical for a position paper, defending such logics from an anthropocentric perspective. Through this sieve, Section 4 outlines the features asked for by the paradigm of computing as intelligent interaction, based on “nuances of nuanced-reasoning”, that should be reflected by agent logics. To keep the approach credible, Section 5 illustrates how quantifiable synergy can be reached - even in advanced challenging domains, such as stigmergic coordination - by injecting symbolic reasoning in systems based on sub-symbolic “emergent synthesis”. Since for future work too the preferred logics are doxastic, the conclusions could be structured in line with the well-known agent architecture: Beliefs, Desires, Intentions.

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