Engineering Organization-Based Multiagent Systems
Author(s) -
Scott A. DeLoach
Publication year - 2006
Publication title -
lecture notes in computer science
Language(s) - English
Resource type - Book series
SCImago Journal Rank - 0.249
H-Index - 400
eISSN - 1611-3349
pISSN - 0302-9743
ISBN - 3-540-33580-3
DOI - 10.1007/11738817_7
Subject(s) - metamodeling , computer science , multi agent system , context (archaeology) , software engineering , knowledge management , management science , systems engineering , artificial intelligence , engineering , paleontology , biology
In this paper, we examine the Multiagent Systems Engineering (MaSE) methodology and its applicability to developing organization-based multiagent systems, which are especially relevant to context aware systems. We discuss the inherent shortcomings of MaSE and then present our approach to modeling the concepts required for organizations including goals, roles, agents, capabilities, and the assignment of agents to roles. Finally, we extend MaSE to allow it to overcome its inherent shortcomings and capture the organizational concepts defined in our organization metamodel.
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