On agent-based software engineering
Artificial Intelligence, 117 (2):
277--296 (March 2000)DOI: 10.1016/S0004-3702(99)00107-1
Abstract
Agent-based computing represents an exciting new synthesis both for
Artificial Intelligence (AI) and, more generally, Computer Science.
It has the potential to significantly improve the theory and the
practice of modeling, designing, and implementing computer systems.
Yet, to date, there has been little systematic analysis of what makes
the agent-based approach such an appealing and powerful computational
model. Moreover, even less effort has been devoted to discussing
the inherent disadvantages that stem from adopting an agent-oriented
view. Here both sets of issues are explored. The standpoint of this
analysis is the role of agent-based software in solving complex,
real-world problems. In particular, it will be argued that the development
of robust and scalable software systems requires autonomous agents
that can complete their objectives while situated in a dynamic and
uncertain environment, that can engage in rich, high-level social
interactions, and that can operate within flexible organisational
structures.
