Entropy and smart systems

V. K. Murthy; E. V. Krishnamurthy

doi:10.1080/10255810390445337

Entropy and smart systems

V. K. Murthy, E. V. Krishnamurthy^*

^*Corresponding author for this work

Research output: Contribution to journal › Article › peer-review

3 Citations (Scopus)

Abstract

A smart system exhibits the four important properties: (i) Interactive, Collective, coordinated and Parallel Operation (ii) Self-organization through emergent properties (iii) Power law scaling under emergence (iv) Adaptive and Flexible operation. We describe the role of fractal and percolation model for understanding smart systems. A hierarchy based on metric entropy is suggested among the computational systems that transcend from the unsmart to the smart system through a phase transition like phenomenon. Understanding smart systems is useful to solve hard-optimization problem inspired by the self-organizing processes found in nature.

Original language	English
Pages (from-to)	481-490
Number of pages	10
Journal	International Journal of Smart Engineering System Design
Volume	5
Issue number	4
DOIs	https://doi.org/10.1080/10255810390445337
Publication status	Published - Oct 2003

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abstract = "A smart system exhibits the four important properties: (i) Interactive, Collective, coordinated and Parallel Operation (ii) Self-organization through emergent properties (iii) Power law scaling under emergence (iv) Adaptive and Flexible operation. We describe the role of fractal and percolation model for understanding smart systems. A hierarchy based on metric entropy is suggested among the computational systems that transcend from the unsmart to the smart system through a phase transition like phenomenon. Understanding smart systems is useful to solve hard-optimization problem inspired by the self-organizing processes found in nature.",

keywords = "Extremal optimization, Fractal dimension, Lyapunov exponent, Metric entropy, Percolation, Phase transition, Smart systems, Time arrow",

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AB - A smart system exhibits the four important properties: (i) Interactive, Collective, coordinated and Parallel Operation (ii) Self-organization through emergent properties (iii) Power law scaling under emergence (iv) Adaptive and Flexible operation. We describe the role of fractal and percolation model for understanding smart systems. A hierarchy based on metric entropy is suggested among the computational systems that transcend from the unsmart to the smart system through a phase transition like phenomenon. Understanding smart systems is useful to solve hard-optimization problem inspired by the self-organizing processes found in nature.

KW - Extremal optimization

KW - Fractal dimension

KW - Lyapunov exponent

KW - Metric entropy

KW - Percolation

KW - Phase transition

KW - Smart systems

KW - Time arrow

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VL - 5

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EP - 490

JO - International Journal of Smart Engineering System Design

JF - International Journal of Smart Engineering System Design

IS - 4

ER -

Entropy and smart systems

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