Toward a Parallel Turing Machine Model

Author(s):  
Peng Qu ◽  
Jin Yan ◽  
Guang R. Gao
1989 ◽  
Author(s):  
Constantine Tsikos ◽  
Tom Chmielewski ◽  
Brian Frederick

1991 ◽  
Vol 24 (14) ◽  
pp. 75-79
Author(s):  
Bian Xiaochun ◽  
Zhang Yongguang ◽  
Qiao Jun
Keyword(s):  

2011 ◽  
Vol 76 (2) ◽  
pp. 620-636 ◽  
Author(s):  
Sy-David Friedman ◽  
P. D. Welch

AbstractThe Infinite Time Turing Machine model [8] of Hamkins and Kidder is, in an essential sense, a “Σ2-machine” in that it uses a Σ2Liminf Rule to determine cell values at limit stages of time. We give a generalisation of these machines with an appropriate Σn rule. Such machines either halt or enter an infinite loop by stage , again generalising precisely the ITTM case.The collection of such machines taken together computes precisely those reals of the least model of analysis.


Proceedings ◽  
2020 ◽  
Vol 47 (1) ◽  
pp. 31 ◽  
Author(s):  
Marcin J. Schroeder

The present paper is intended as a defense of the view that whatever makes AI so useful and successful in competition with humans, it does not have to be intelligence, at least as we use this term in the human context. After all, the question of qualification for human beings to be considered intelligent does not have a definite answer. There is not even a common agreement on whether we can identify criteria for one (general or unified) intelligence or whether we should rather consider multiple intelligences. Thus, our discussion is focusing not on a complete definition of intelligence, but only on its necessary conditions, and not on computing artefacts, but on the process of computing in its Turing Machine model. Are there any features of computing which are in contradiction with the idea of intelligence? This is the reason why the title of this paper is formulated in a negative way, with the question of whether intelligent computing is an oxymoron.


2017 ◽  
Vol 32 (2) ◽  
pp. 269-285 ◽  
Author(s):  
Peng Qu ◽  
Jin Yan ◽  
You-Hui Zhang ◽  
Guang R. Gao

2021 ◽  
Vol 18 (4) ◽  
pp. 0-0

To verify the composed Web services, a general view of what traits of a service need to be identified is still lacking. The existing verification model did not address any mechanism for getting alternative services if we failed to reach the desired service and partially concentrated on the reachability problem for a deterministic and non-deterministic system in sequential. This paper proposes a Synthesised Non-deterministic Turing Machine Model (SNTMM) by combining the Multistacked Non-deterministic Turing Machine (MSNTM) model and Multitaped Non-deterministic Turing Machine (MTNTM) model to verify the composed Web services for both deterministic and non-deterministic systems in parallel. The deceased transition and departed service marking algorithm have been proposed to address each participated service’s reachability in composing service for all possible input in parallel. This article shows an example to demonstrate the meticulousness of the model. The experimental results show that the performance of the proposed model is measured efficiently


Proceedings ◽  
2020 ◽  
Vol 47 (1) ◽  
pp. 31
Author(s):  
Marcin J. Schroeder

The present paper is intended as a defense of the view that whatever makes AI so useful and successful in competition with humans, it does not have to be intelligence, at least as we use this term in the human context. After all, the question of qualification for human beings to be considered intelligent does not have a definite answer. There is not even a common agreement on whether we can identify criteria for one (general or unified) intelligence or whether we should rather consider multiple intelligences. Thus, our discussion is focusing not on a complete definition of intelligence, but only on its necessary conditions, and not on computing artefacts, but on the process of computing in its Turing Machine model. Are there any features of computing which are in contradiction with the idea of intelligence? This is the reason why the title of this paper is formulated in a negative way, with the question of whether intelligent computing is an oxymoron.


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