Design and Control of Self-organizing Systems
Complex systems are usually difficult to design and control. There are several particular methods for coping with complexity, but there is no general approach to build complex systems. In this book I propose a methodology to aid engineers in the design and control of complex systems. This is based on the description of systems as self-organizing. Starting from the agent metaphor, the methodology proposes a conceptual framework and a series of steps to follow to find proper mechanisms that will promote elements to find solutions by actively interacting among themselves.
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able abs-being abstract achieve adapt agents ambient intelligence applied approach Artiﬁcial Ashby aspects asynchronous communication average speed behavior beneﬁts Boolean networks bureaucracies cellular automata changes Chapter cognition communication complex systems concepts conﬁguration conﬂicts contexts cooperation coordinate cope Cybernetics deﬁned deﬁnition dependencies described design and control developed devices difﬁcult dynamical system dynamics efﬁciency elements engineering entropy environment example feedback Figure ﬁnd ﬁrst ﬁve fulﬁll full synchronization function Gershenson Gershenson and Heylighen global goals green wave Helbing implemented improve increase interactions intersection macrostates mediator Methodology NetLogo number of cars observer optim organization PageRank parameters performance platoons possible problem domains proposed queue red light rel-beings response delay robust satisfaction self-organizing systems self-organizing trafﬁc lights sensors simulation social solutions sotl methods sotl-phase sotl-platoon sotl-request speciﬁc stigmergy synergy task tion topology trafﬁc densities trafﬁc ﬂow vehicles Vrije Universiteit Brussel waiting Wetstraat