Relations between Electronics, Artificial Intelligence and Information Society through Information Society Rules

Abstract

This paper presents relations between information society (IS), electronics and artificial intelligence (AI) mainly through twenty-four IS laws. The laws not only make up a novel collection, currently non-existing in the literature, but they also highlight the core boosting mechanism for the progress of what is called the information society and AI. The laws mainly describe the exponential growth in a particular field, be it the processing, storage or transmission capabilities of electronic devices. Other rules describe the relations to production prices and human interaction. Overall, the IS laws illustrate the most recent and most vibrant part of human history based on the unprecedented growth of device capabilities spurred by human innovation and ingenuity. Although there are signs of stalling, at the same time there are still many ways to prolong the fascinating progress of electronics that stimulates the field of artificial intelligence. There are constant leaps in new areas, such as the perception of real-world signals, where AI is already occasionally exceeding human capabilities and will do so even more in the future. In some areas where AI is presumed to be incapable of performing even at a modest level, such as the production of art or programming software, AI is making progress that can sometimes reflect true human skills. Maybe it is time for AI to boost the progress of electronics in return.

Performance Analysis of Test Path Generation Techniques Based on Complex Activity Diagrams

“…To compare the efficiency of test path generation algorithms, four UML activity diagrams are used to construct in the form of the control flow graphs (CFG), and then each control flow graph is searched to find the target number of all possible path using a Depth First Search algorithm and to find the number of basis path using Equation (1). For path coverage in the case of the concurrent regions, all possible paths must be traversed from two directions that are left-to-right and right-to-left [32].…”

“…According to Linus's law, given large enough betatester and co-developer bases, almost every problem will be characterized quickly and the fix will be obvious to someone [1]. Green software testing takes into consideration the number of people and the amount of equipment allocated to test based on predefined test cases related to energy consumption [2].…”

“…Currently, the advantages of the test path generation are applied to several real-world problems, for example, (1) to generate test data using the neighborhood search strategy [15] and using the genetic algorithm [16], (2) to generate test paths for effective chatbot software testing using customized response [17], (3) to optimize test cases by generating test path and selecting test data using Cuckoo search and Bee colony algorithm [18], and (4) to generate optimized test data for saving both testing cost and time [19].…”

The Natural Evolution of Computing

“…The evolution of computing is a major, transforming technological adaptation still unfolding in human history. Although there is no formal definition [1], our world is often described as an "information society" or "algorithmic society" [2]. Computing is a very recent historical phenomenon and its long-term implications are yet to be determined and analyzed.…”

A fast prototype for modeling IP cores using in SoC with UML Marte.

“…Currently, there are several possibilities to continue Moore's law for several decades, such as new technologies including quantum computing or 3D chips and sophisticated algorithms. [1] Faced with these constraints, the designers are trying to promote code reuse, by moving towards assembling predesigned and pre-verified blocks referred to as virtual components. Reuse and integration of heterogeneous Intellectual Property (IP) from multiple vendors is a complex task.…”