Co-evolution of Intelligent Socio-technical Systems by Evangelia Mitleton-Kelly

By Evangelia Mitleton-Kelly

Because the interconnectivity among people via technical units is turning into ubiquitous, your next step is already within the making: ambient intelligence, i.e. shrewdpermanent (technical) environments, as a way to finally play a similar energetic function in conversation because the human avid gamers, resulting in a co-evolution in all domain names the place real-time verbal exchange is vital. This topical quantity, in accordance with the findings of the Socionical eu study undertaking, provides equivalent awareness to 2 hugely appropriate domain names of purposes: shipping, particularly site visitors, dynamics from the perspective of a socio-technical interplay and evacuation eventualities for large-scale emergency occasions.

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Sel. Topics Signal Process. 2, 568–581 (2008) 19. : Ambient intelligence: technologies, applications, and opportunities. Pervasive Mobile Comput. 5, 277–298 (2009) 20. : How smart are our environments? An updated look at the state of the art. Pervasive Mobile Comput. 3, 53–73 (2007) 21. : Pervasive computing at scale: transforming the state of the art. Pervasive Mobile Comput. info Enhancing Crowd Evacuation and Traffic Management Through AmI Technologies:. . 39 22. : Ethical issues in tracking cellular telephones at an event.

However, within the social sciences emphasis is placed more often on the concepts of adaption and change rather than selection and competition. Basic definitions of co-evolution are relatively homogeneous across both the natural and social science literature, converging in the sense that two systems or entities co-evolve when they have a causal influence on each other’s evolution [17]. However, interpretations and applications of the concept of co-evolution vary. E. K. uk E. info 43 44 E. K. Davy Interpretations range from the “specific, reciprocal, simultaneous evolution of traits between two closely related species” to “diffuse coevolution, meaning the adaptation of species to multiple features of their biotic and physical environment” [14, p.

Handbook of ambient intelligence and smart environment, pp. 911–938. Springer, Boston (2010) 16. : Real-time urban monitoring using cell phones: a case study in Rome. IEEE Trans. Intell. Transp. Syst. 12, 141–151. Chicago, IL (2011) 17. : Real time Rome. Netw. Commun. Stud. 3–4, 247–258 (2006) 18. : Detecting dominant motions in dense crowds. IEEE J. Sel. Topics Signal Process. 2, 568–581 (2008) 19. : Ambient intelligence: technologies, applications, and opportunities. Pervasive Mobile Comput.

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