کد مقاله | کد نشریه | سال انتشار | مقاله انگلیسی | نسخه تمام متن |
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718658 | 892263 | 2011 | 5 صفحه PDF | دانلود رایگان |
If software systems are to behave more intelligently, they will need to be able to adapt to the changing external world. The agent-oriented paradigm offers the potential to build adaptive systems. This paper explores the nature of adaptivity in multi-agent systems by exploring how to represent adaptivity in agent-oriented models. Rather than focussing on mechanisms for individual agents to be highly adaptive, we advocate regarding adaptivity as a quality goal of an overall multi-agent system. Discussing agent-oriented models should help guide where design tradeoffs need to be made. Learning can be approached in a similar way to adaptivity, where learning is viewed as an attribute of the system rather than a fundamental property of individual agents. Examples are given from use of automated teller machines at mobile sites and intelligent information agents.
Journal: IFAC Proceedings Volumes - Volume 44, Issue 1, January 2011, Pages 38–42