Affiliation:
1. University of Sheffield and Algorithmic Nature Group
2. University of Sheffield
Abstract
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.
Publisher
Association for Computing Machinery (ACM)
Reference43 articles.
1. Ubiquity symposium: Biological Computation
2. On the Length of Programs for Computing Finite Binary Sequences
3. Three Approaches to the Quantitative Definition Of Information;Kolmogorov A.N;Problems of Information and Transmission,1965
4. Laws of Information Conservation (non-growth) and Aspects of the Foundation of Probability Theory;Levin L;Problems in Form. Transmission,1974
Cited by
4 articles.
订阅此论文施引文献
订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献