This article discusses the meaning and scope of biological hypercomputation (BH) that is to be considered as new research problem within the sciences of complexity. The framework here is computational, setting out that life is not a standard Turing Machine. Living systems, we claim, hypercompute, and we aim at understanding life not by what it is, but rather by what it does. The distinction is made between classical and nonclassical hypercomputation. We argue that living processes are nonclassical hypercomputation. BH implies then new computational models. Finally, we sketch out the possibilities, stances, and reach of BH. © 2014 Wiley Periodicals, Inc
Evolution and complexity characterize both biological and artificial life by direct modeling of biol...
It has been argued that the technological capability to fully simulate the human brain on digital co...
This article presents Artificial Life, an interdisciplinary field of study that helps understand lif...
This article discusses the meaning and scope of biological hypercomputation (BH) that is to be consi...
One of the most compelling problems in science consists in understanding how living systems process ...
Regarding the widespread confusion about the concept and nature of complexity, information and biolo...
This chapter is concerned with how computational ideas can be used as the basis for understanding bi...
Regarding the widespread confusion about the concept and nature of complexity, information and biolo...
Abstract. This paper has two primary aims. The first is to provide an introductory discussion of hyp...
Due to common misconceptions about the Church-Turing thesis, it has been widely assumed that the Tur...
At present, the brain is viewed primarily as a biological computer. But, crucially, the plas-ticity ...
The complexity of living organisms surpasses our unaided habilities of analysis. Hence, computationa...
AbstractThis paper argues that there is a synchronicity among biological and computational levels on...
This paper argues that there is a synchronicity among biological and computational levels on an orga...
Metabiology is a mathematical theory mainly based on algorithmic information theory and allows us to...
Evolution and complexity characterize both biological and artificial life by direct modeling of biol...
It has been argued that the technological capability to fully simulate the human brain on digital co...
This article presents Artificial Life, an interdisciplinary field of study that helps understand lif...
This article discusses the meaning and scope of biological hypercomputation (BH) that is to be consi...
One of the most compelling problems in science consists in understanding how living systems process ...
Regarding the widespread confusion about the concept and nature of complexity, information and biolo...
This chapter is concerned with how computational ideas can be used as the basis for understanding bi...
Regarding the widespread confusion about the concept and nature of complexity, information and biolo...
Abstract. This paper has two primary aims. The first is to provide an introductory discussion of hyp...
Due to common misconceptions about the Church-Turing thesis, it has been widely assumed that the Tur...
At present, the brain is viewed primarily as a biological computer. But, crucially, the plas-ticity ...
The complexity of living organisms surpasses our unaided habilities of analysis. Hence, computationa...
AbstractThis paper argues that there is a synchronicity among biological and computational levels on...
This paper argues that there is a synchronicity among biological and computational levels on an orga...
Metabiology is a mathematical theory mainly based on algorithmic information theory and allows us to...
Evolution and complexity characterize both biological and artificial life by direct modeling of biol...
It has been argued that the technological capability to fully simulate the human brain on digital co...
This article presents Artificial Life, an interdisciplinary field of study that helps understand lif...