No full text
Contribution to collective works (Parts of books)
Design Patterns for Social Intelligent Agent Architectures Implementation
Kolp, Manuel; Wautelet, Yves; Heng, Samedi
2018In Handbook of Research on Investigations in Artificial Life Research and Development
Peer reviewed
 

Files


Full Text
No document available.

Send to



Details



Keywords :
Multi-agent systems; Design Patterns; Agent Architectures
Abstract :
[en] Multi-agent systems (MAS) architectures are popular for building open, distributed, and evolving software required by today's business IT applications such as e-business systems, web services, or enterprise knowledge bases. Since the fundamental concepts of MAS are social and intentional rather than object, functional, or implementation-oriented, the design of MAS architectures can be eased by using social patterns. They are detailed agent-oriented design idioms to describe MAS architectures as composed of autonomous agents that interact and coordinate to achieve their intentions like actors in human organizations. This chapter 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. The authors consider the broker social pattern to illustrate the framework. The mapping from system architectural design (through organizational architectural styles), to system detailed design (through social patterns), is overviewed with a data integration case study.
Research center :
LouRIM
Disciplines :
Management information systems
Computer science
Author, co-author :
Kolp, Manuel
Wautelet, Yves
Heng, Samedi ;  Université de Liège - ULiège > HEC Liège : UER > Digital Business
Language :
English
Title :
Design Patterns for Social Intelligent Agent Architectures Implementation
Publication date :
2018
Main work title :
Handbook of Research on Investigations in Artificial Life Research and Development
Publisher :
IGI Global, Hershey PA, United States
Pages :
258-283
Peer reviewed :
Peer reviewed
Funders :
UCL - Université Catholique de Louvain [BE]
Available on ORBi :
since 05 November 2018

Statistics


Number of views
83 (3 by ULiège)
Number of downloads
0 (0 by ULiège)

Bibliography


Similar publications



Contact ORBi