A smart system exhibits the four important properties: (i) Interactive, collective, coordinated and efficient Operation (ii) Self -organization and emergence (iii) Power law scaling under emergence (iv) Adaptive. We describe the role of fractal and percolation models for understanding smart systems. A hierarchy based on metric entropy is suggested among the computational systems to differentiate ordinary system from the smart system. Engineering a general purpose smart system is not feasible, since emergence is a global behaviour (or a goal) that evolves from the local behaviour (goals) of components. This is due to the fact that the evolutionary rules for the global goal is non-computable, as it cannot be expressed as a finite composition of computable function of local goals for any arbitrary problem domain. © Springer-Verlag Berlin Heidelberg 2005.
CITATION STYLE
Krishnamurthy, E. V., & Kris Murthy, V. (2005). On engineering smart systems. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 3683 LNAI, pp. 505–512). Springer Verlag. https://doi.org/10.1007/11553939_72
Mendeley helps you to discover research relevant for your work.