Transmission of information at criticality

Luković, Mirko; Vanni, Fabio; Grigolini, Paolo

doi:10.1016/j.physa.2014.08.066

Cited by 30 publications

(67 citation statements)

References 34 publications

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“…As mentioned earlier, the crucial events favor the transport of information from one complex system to another [22]. Crucial events are generated by criticality and consequently the transport of information becomes maximally efficient at criticality [24].…”

Section: Swarm Intelligence and Resiliencementioning

confidence: 88%

“…The crucial events are responsible for the information transport from one system at criticality to another system at criticality [22]. Furthermore, the emergence of crucial events requires that the size of the complex system is finite.…”

Section: Complexitymentioning

confidence: 99%

“…Figure 2, similar to Figure 4 of [3], is compared in Section 4 with Figure 4, illustrating the perturbation by independents. We limit ourselves to noticing that temporal complexity shows up in the intermediate asymptotics regime [3] and it is characterized by the IPL index = 1.3, a property shared by other systems at criticality; see, for instance, [22]. This is evidence that the spontaneous transition to criticality also generates the crucial events responsible for information transport.…”

Section: Complexitymentioning

confidence: 99%

“…The mean field ( ) has very fast fluctuations around a mean value close to 1, but these fluctuations are Poisson and the conventional DMM system loses its complexity [22].…”

Section: Top-down Approach To Self-organized Temporal Criticalitymentioning

confidence: 99%

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Self‐Organized Temporal Criticality: Bottom‐Up Resilience versus Top‐Down Vulnerability

2018

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We propose a social model of spontaneous self-organization generating criticality and resilience, called Self-Organized Temporal Criticality (SOTC). The criticality-induced long-range correlation favors the societal benefit and can be interpreted as the social system becoming cognizant of the fact that altruism generates societal benefit. We show that when the spontaneous bottom-up emergence of altruism is replaced by a top-down process, mimicking the leadership of an elite, the crucial events favoring the system's resilience are turned into collapses, corresponding to the falls of the leading elites. We also show with numerical simulation that the top-down SOTC lacks the resilience of the bottom-up SOTC. We propose this theoretical model to contribute to the mathematical foundation of theoretical sociology illustrated in 1901 by Pareto to explain the rise and fall of elites.

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Section: Swarm Intelligence and Resiliencementioning

confidence: 88%

Section: Complexitymentioning

confidence: 99%

Section: Complexitymentioning

confidence: 99%

“…The mean field ( ) has very fast fluctuations around a mean value close to 1, but these fluctuations are Poisson and the conventional DMM system loses its complexity [22].…”

Section: Top-down Approach To Self-organized Temporal Criticalitymentioning

confidence: 99%

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Self‐Organized Temporal Criticality: Bottom‐Up Resilience versus Top‐Down Vulnerability

2018

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“…[37,25,20]. While it is impossible at this point to make arguments precise, at least the conceptual link between particle swarm optimization and other nature-inspired algorithms and the emergence of intelligence is evidently there.…”

Section: Discussionmentioning

confidence: 99%