Abstract | ||
---|---|---|
Classical control systems are based on feedback techniques and models that generally cannot manage computational complexity, nonlinearity and uncertainty. Moreover, classical control cannot adapt well to the variability of the processes under control in a dynamic fashion. However, agent-based control eases combinatorial complexity by enabling a robust partitioning of knowledge and behaviors. It is a difficult challenge to create the infrastructure, development system and validation tools for agent systems. In this paper we discuss fundamental steps to achieve the foundation infrastructure for creating agents but also we address several guidelines to create the agents and the requirements to present this to non-agent specialists. |
Year | DOI | Venue |
---|---|---|
2005 | 10.1007/11537847_10 | HoloMAS |
Keywords | Field | DocType |
dynamic fashion,agent-based control,combinatorial complexity,validate industrial application,development system,difficult challenge,classical control system,holonic system,foundation infrastructure,computational complexity,classical control,agent system,control system | Nonlinear system,Computer science,Computer-integrated manufacturing,Combinatorial complexity,Agent architecture,Process control,Control system,Distributed computing,Computational complexity theory | Conference |
Volume | ISSN | ISBN |
3593 | 0302-9743 | 3-540-28237-8 |
Citations | PageRank | References |
6 | 0.95 | 7 |
Authors | ||
5 |
Name | Order | Citations | PageRank |
---|---|---|---|
Francisco P. Maturana | 1 | 262 | 39.81 |
Raymond J. Staron | 2 | 92 | 11.48 |
Pavel Tichý | 3 | 114 | 18.18 |
Petr Slechta | 4 | 86 | 10.63 |
Pavel Vrba | 5 | 370 | 34.60 |