Thermodynamics of computation and information distance
STOC '93 Proceedings of the twenty-fifth annual ACM symposium on Theory of computing
On the Length of Programs for Computing Finite Binary Sequences: statistical considerations
Journal of the ACM (JACM)
A new kind of science
Feynman Lectures on Computation
Feynman Lectures on Computation
Algorithmic self-assembly of dna
Algorithmic self-assembly of dna
Theory of Self-Reproducing Automata
Theory of Self-Reproducing Automata
Elements of Information Theory (Wiley Series in Telecommunications and Signal Processing)
Elements of Information Theory (Wiley Series in Telecommunications and Signal Processing)
Irreversibility and heat generation in the computing process
IBM Journal of Research and Development
Universal Artificial Intelligence: Sequential Decisions Based on Algorithmic Probability
Universal Artificial Intelligence: Sequential Decisions Based on Algorithmic Probability
Hi-index | 0.00 |
While evolution has inspired algorithmic methods of heuristic optimization, little has been done in the way of using concepts of computation to advance our understanding of salient aspects of biological phenomena. The authors argue under reasonable assumptions, interesting conclusions can be drawn that are of relevance to behavioral evolution. The authors will focus on two important features of life---robustness and fitness---which, they will argue, are related to algorithmic probability and to the thermodynamics of computation, disciplines that may be capable of modeling key features of living organisms, and which can be used in formulating new algorithms of evolutionary computation.