Ways to improve the methods of rotary cutting

2021 ◽  
pp. 87-88
Author(s):  

Methods for improving rotary cutting are developed on the basis of self-organization in tribological coupling using algorithmic procedures of artificial intelligence are developed. For these purposes, a tool with a regular microrelief and lubricating-cooling media are used. Keywords: rotary cutting, regular microrelief, lubricating and cooling media. [email protected]

Author(s):  
Egor V. Falev ◽  

The article considers the concept of artificial intelligence (AI) using categories and basic principles of the consciousness theory developed in the Living Ethics (LE). The latter is a modern form of the ancient tradition of exploring conscious­ness in Indian philosophy and spiritual practice. Categorial apparatus of Indian philosophy contains rich variety of distinction which may be successfully imple­mented also in the modern cognitive researches. The article shows that more pre­cise definitions of the basic concepts allow to fulfill strict delimitation between “strong” and “weak” AI as well as between what is possible and what completely impossible regarding AI. Strong AI in a sense of possessing “subjective presenta­tions” appears to be impossible. But, a deeper understanding of nature of con­sciousness in LE allows to move the limits of what is considered as possible for the weak AI. First, LE asserts mechanical mode of operation underlying the most of intellectual operations. Hence, even “weak AI” may fulfill many functions which were before attributed only to “strong AI”. Second, LE defines conscious­ness and intelligence as inherent inner potential powers of material systems, manifesting also in their ability and tendency to self-organization. Therefore, some features of “artificial” intelligence may be reconsidered as manifestations of intrinsic “intelligence” of matter, which also implies wider possibilities for AI systems. Some parallels appear with major Western philosophers such as G. Bruno, Leibnitz, H. Bergson, E. Husserl, including recent approaches of N. Luhmann’s systems theory and B. Latour’s actor-network theory


Author(s):  
Syergyey Logvinov ◽  
S. Logvinov

Methodological approaches to the analysis of the effectiveness of complex human-machine systems (SMS) based on the use of methods of heuristic self-organization and artificial neural networks are considered. Modeling of the system taking into account a large number of factors and several output variables that characterize the MFM is based on obtaining multilayer perceptrons with the exception of factors with low sensitivity


Processes ◽  
2019 ◽  
Vol 7 (12) ◽  
pp. 953 ◽  
Author(s):  
Anjali Ramachandran ◽  
Rabee Rustum ◽  
Adebayo J. Adeloye

Although it is a well-researched topic, the complexity, time for process stabilization, and economic factors related to anaerobic digestion call for simulation of the process offline with the help of computer models. Nature-inspired techniques are a recently developed branch of artificial intelligence wherein knowledge is transferred from natural systems to engineered systems. For soft computing applications, nature-inspired techniques have several advantages, including scope for parallel computing, dynamic behavior, and self-organization. This paper presents a comprehensive review of such techniques and their application in anaerobic digestion modeling. We compiled and synthetized the literature on the applications of nature-inspired techniques applied to anaerobic digestion. These techniques provide a balance between diversity and speed of arrival at the optimal solution, which has stimulated their use in anaerobic digestion modeling.


2013 ◽  
Vol 325-326 ◽  
pp. 1792-1795
Author(s):  
Shan Po Nian ◽  
Lei Chen ◽  
Cai Xia Hou ◽  
Run Kun Gong ◽  
Li Peng

t is the task for artificial intelligence to give human intelligence to machine, such as thinking, reasoning and deciding, etc. To give life to a machine is the research fields of artificial life like evolution, generating, self-adaptation, self-organization, etc. Artificial emotion gives a machine various senses as laughing, anger, sorrow and happiness, etc. It is intolerable for artificial emotion to be separated from artificial life. So the research frame of the virtual emotional human system is represented. And the emotional model, method and technology are investigated in this paper. A simulation has been done. The results are encouraging and it will be applied into the interface between human and machine.


2021 ◽  
Vol 13 (05) ◽  
pp. 1-13
Author(s):  
Evgeny Bryndin

Artificial intelligence of large ensembles of intelligent agents in terms of computing power surpasses human intelligence. He is capable of artificial thinking and understanding. Giant ensembles of intellectual agents with artificial consciousness and intelligence are able, for the results set by the person necessary for him, to find solutions for their obtaining on the basis of professional competence and experience accumulation. The professional competence of artificial intelligence is the ability to use technologies, including computer vision, natural language processing, speech recognition and synthesis, intelligent decision support, as well as the use of synergistic methods, functional self-organizing methods and utility and preference criteria. For artificial intelligence, the functional organization of the system is important. The functionalism of artificial intelligence does not depend on its carrier, allows many methods of its functional implementation, as well as to form the completeness of its functions. Giant ensembles of intellectual agents with a full set of functions gradually and flexibly form events into solutions or rational behavior to obtain a given necessary result. Intelligent artificial intelligence has psychological, analytical, research, language, professional and behavioral hybrid competencies. Each competence is exercised by an intelligent agent with a competent functional professional manner. Intelligent agents form an ensemble with intelligent ethical artificial intelligence. The article is devoted to functional harmonious selforganization of ensembles of intellectual agents.Functional harmonious self-organization of the interaction of intellectual agents in different environments is carried out via wireless and mobile networks on the basis of data of a specific environment obtained by analytical competent intellectual agents. As result of research, the law of the golden section of the functional harmonious self-organization of ensembles of intellectual agents was revealed. Further research will focus on the effective use of wireless and mobile networks in the practical application of smart agent ensembles.


Author(s):  
Серій Ілліч Доценко

The purpose of this study is to solve the following problems. The first task concerns the determination of the form of correspondence of factors that model the technological activity of the “process” and “resource” with factors that are subjected to simultaneous processing according to the central regularity of the integrative activity of the brain. The second task concerns the determination of possible forms of relationships for technological activity factors “process” and “resource” with concepts that characterize thinking processes, namely: “reflection”, “data”, “information”, “knowledge”, “meaning”, “thinking”, “intelligence”, “semantic thinking”, “understanding”. From the above analysis of the problems of representation, processing, and acquisition of knowledge, it follows that the main problem is the mismatch of the laws of formal logic with logic, which is realized in the thinking processes of living beings. Human intelligence in the theory of artificial intelligence is perceived as an auxiliary tool. In the theory of artificial intelligence, the model of an artificial neuron copies its structure but does not reproduce the processes that are realized in it. From a philosophical point of view, the basic concepts that reveal the content of thinking processes are the concepts of “reason” and “mind”. Moreover, the main property of the mind is its dialectics, which is manifested through the concept of "measure". The content of the concept of “measure” is defined in the form of a dialectical unity of the concepts of “general” (qualitative definition) “single” (quantitative definition). The methodological basis for the construction of all logical models is the methodology of a holistic approach based on which a logical model of holistic semantic activity is formed. In this model, the content of "duality" of the content of the concept of "activity" is disclosed. This ensured the definition of the principle of organizing the intellectual system into an organized whole in the form of the dialectical unity of certain tasks, as well as the principle of self-organization of its activities in the form of a mechanism to ensure compliance with the results of solving these problems. Based on the hypothesis about the equivalence of the technological activity of the natural intellectual system using the “process” and “resource” factors and the process of semantic thinking based on the central regularity of the integrative activity of the brain, a logical model for structuring excitations on the theory of functional systems has been developed. This model, along with the logical model of semantic activity (process), serves as the basis for the formation of logical models of levels 0 - 4. The principle of heuristic self-organization in the form of a fourth heuristic, namely, dialectical self-organization for the concepts of “general” “single”, is a fundamental principle of heuristic self-organization of pairs of factors for logical models. The architectures of these logical models are formed using two pairs of factors defined for each model. The fifth principle of heuristic self-organization follows from this: the architecture of logical models of semantic thinking and semantic activity are formed using two pairs of factors defined for each logical model, the elements of each of which are connected by cause-effect relationships, which in meaning correspond to pairs of process and resource factors, and correspond to the architecture of the Cartesian coordinate system.


2018 ◽  
Vol 2018 ◽  
pp. 1-12 ◽  
Author(s):  
Taisuke Akimoto

We consider the essence of human intelligence to be the ability to mentally (internally) construct a world in the form of stories through interactions with external environments. Understanding the principles of this mechanism is vital for realizing a human-like and autonomous artificial intelligence, but there are extremely complex problems involved. From this perspective, we propose a conceptual-level theory for the computational modeling of generative narrative cognition. Our basic idea can be described as follows: stories are representational elements forming an agent’s mental world and are also living objects that have the power of self-organization. In this study, we develop this idea by discussing the complexities of the internal structure of a story and the organizational structure of a mental world. In particular, we classify the principles of the self-organization of a mental world into five types of generative actions, i.e., connective, hierarchical, contextual, gathering, and adaptive. An integrative cognition is explained with these generative actions in the form of a distributed multiagent system of stories.


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