Phase transitions in artificial intelligence systems
Artificial Intelligence
Algorithmic information theory
Algorithmic information theory
Phase transitions in high-dimensional pattern classification
Computer Systems Science and Engineering
Advances in computers
The hardest constraint problems: a double phase transition
Artificial Intelligence
Why interaction is more powerful than algorithms
Communications of the ACM
Emergence: from chaos to order
Emergence: from chaos to order
The constrainedness knife-edge
AAAI '98/IAAI '98 Proceedings of the fifteenth national/tenth conference on Artificial intelligence/Innovative applications of artificial intelligence
Artificial Intelligence
A new kind of science
Artificial Life II
Proceedings of the Third International Workshop on Ant Algorithms
ANTS '02 Proceedings of the Third International Workshop on Ant Algorithms
ER '01 Proceedings of the International Symposium on Evolutionary Robotics From Intelligent Robotics to Artificial Life
ICES '01 Proceedings of the 4th International Conference on Evolvable Systems: From Biology to Hardware
Synergetic Computers & Cognition
Synergetic Computers & Cognition
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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.