Title :
Algorithmic entropy and smart systems
Author :
Krishnamurthy, E.V.
Author_Institution :
Comput. Sci. Lab., Australian Nat. Univ., Canberra, ACT, Australia
Abstract :
A smart system exhibits the three important properties: (i) interactive, collective, coordinated and parallel operation (ii) self-organization through emergent properties (iii) adaptive and flexible operation. 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. Such systems will be valuable to create artificial systems made up of exotic matter to solve specific problems in particular domains of interest with a high efficiency.
Keywords :
emergent phenomena; entropy; evolutionary computation; optimisation; self-adjusting systems; algorithmic entropy; artificial systems; computational systems; metric entropy; optimization problem; parallel operation; percolation; phase transition; self organizing process; smart system; Australia; Biology computing; Computational efficiency; Computational modeling; Concurrent computing; Entropy; Fault tolerant systems; Hardware; Laboratories; Problem-solving;
Conference_Titel :
Intelligent Sensing and Information Processing, 2004. Proceedings of International Conference on
Print_ISBN :
0-7803-8243-9
DOI :
10.1109/ICISIP.2004.1287647
