The nexus of materialized sound, sonified material and artificial intelligence: Applications in material analysis and design

Author(s):  
Markus J Buehler
Author(s):  
Peretz Shoval

The term “object oriented” spread in the last decade and a half, throughout many fields of computing, including the analysis and design of information systems (IS). The use of the OO approach began in the early 1970s in fields such as computers architecture, operating systems, and artificial intelligence. But the main field to which the approach penetrated was programming languages, beginning with Simula and then with Smalltalk. Some years passed by until the approach became popular in the programming field. Reasons for the vigorous penetration of the approach include the emergence of the windows-based graphical interfaces technology, the desire to economize development costs by reusing existing software, and the transition from centralized computing to distributed- and Internet-based computing. As aforesaid, the approach penetrated into other fields of computing due to its success in the field of programming, including the field of analysis and design of IS.


2014 ◽  
Vol 513-517 ◽  
pp. 1696-1700
Author(s):  
Wen Min Zhou ◽  
Shu Qin Li ◽  
Lei Gu ◽  
Yu Feng Shi ◽  
Zhan Yu Li

Recently,WTN chess is just emerging as a computer game of Artificial Intelligence Competition in China which lacks of algorithm research. This article attempts to research how to get rid of randomness in the game of WTN chess and lets the program make the right choice to analysis and return a relatively best solution.This article also achieves a greedy algorithm based on enumeration and offensive strategies, and provides an algorithm of situation assessment.It is demonstrated that the algorithm is effective.


2021 ◽  
Vol 3 (4) ◽  
pp. 900-921
Author(s):  
Mi-Young Kim ◽  
Shahin Atakishiyev ◽  
Housam Khalifa Bashier Babiker ◽  
Nawshad Farruque ◽  
Randy Goebel ◽  
...  

The rapid growth of research in explainable artificial intelligence (XAI) follows on two substantial developments. First, the enormous application success of modern machine learning methods, especially deep and reinforcement learning, have created high expectations for industrial, commercial, and social value. Second, the emerging and growing concern for creating ethical and trusted AI systems, including compliance with regulatory principles to ensure transparency and trust. These two threads have created a kind of “perfect storm” of research activity, all motivated to create and deliver any set of tools and techniques to address the XAI demand. As some surveys of current XAI suggest, there is yet to appear a principled framework that respects the literature of explainability in the history of science and which provides a basis for the development of a framework for transparent XAI. We identify four foundational components, including the requirements for (1) explicit explanation knowledge representation, (2) delivery of alternative explanations, (3) adjusting explanations based on knowledge of the explainee, and (4) exploiting the advantage of interactive explanation. With those four components in mind, we intend to provide a strategic inventory of XAI requirements, demonstrate their connection to a basic history of XAI ideas, and then synthesize those ideas into a simple framework that can guide the design of AI systems that require XAI.


Author(s):  
N. Р. Sidorova ◽  
Yu. . Sidorov

The article deals with the development of cloud computing technology. The application of artificial intelligence methods as the main direction of development of cloud technologies is singled out. An overview of intelligent cloud services is given.


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