Ideas on Turing machines part2(Computation)

Monodeep Mukherjee
2 min readJan 12, 2023
  1. Turing Machines with Two-level Memory: A Deep Look into the Input/Output Complexity(arXiv)

Author : Hengzhao Ma, Jianzhong Li, Xiangyu Gao, Tianpeng Gao

Abstract : The input/output complexity, which is the complexity of data exchange between the main memory and the external memory, has been elaborately studied by a lot of former researchers. However, the existing works failed to consider the input/output complexity in a computation model point of view. In this paper we remedy this by proposing three variants of Turing machine that include external memory and the mechanism of exchanging data between main memory and external memory. Based on these new models, the input/output complexity is deeply studied. We discussed the relationship between input/output complexity and the other complexity measures such as time complexity and parameterized complexity, which is not considered by former researchers. We also define the external access trace complexity, which reflects the physical behavior of magnetic disks and gives a theoretical evidence of IO-efficient algorithm

2.Turing Machines cannot simulate the human mind (arXiv)

Author : Abhinav Muraleedharan

Abstract : Can a Turing Machine simulate the human mind? If the Church-Turing thesis is assumed to be true, then a Turing Machine should be able to simulate the human mind. In this paper, I challenge that assumption by providing strong mathematical arguments against the Church-Turing thesis. First, I show that there are decision problems that are computable for humans, but uncomputable for Turing Machines. Next, using a thought experiment I show that a humanoid robot equipped with a Turing Machine as the control unit cannot perform all humanly doable physical tasks. Finally, I show that a quantum mechanical computing device involving sequential quantum wave function collapse can compute sequences that are uncomputable for Turing Machines. These results invalidate the Church-Turing thesis and lead to the conclusion that the human mind cannot be simulated by a Turing Machine. Connecting these results, I argue that quantum effects in the human brain are fundamental to the computing abilities of the human mind

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Monodeep Mukherjee

Universe Enthusiast. Writes about Computer Science, AI, Physics, Neuroscience and Technology,Front End and Backend Development