Artificial Intelligence

1902 Submissions

[18] viXra:1902.0288 [pdf] submitted on 2019-02-16 11:23:44

Genetic Programming

Authors: Domenico Oricchio
Comments: 1 Page.

I try to write a program that evolve in the time
Category: Artificial Intelligence

[17] viXra:1902.0279 [pdf] submitted on 2019-02-17 03:32:56

Divergence Measure of Belief Function

Authors: Yutong Song, Yong Deng
Comments: 3 Pages.

it is important to measure the divergent or conflicting degree among pieces of information for information preprocessing in case for the unreliable results which come from the combination of conflicting bodies of evidence using Dempster's combination rules. However, how to measure the divergence of different evidence is still an open issue. In this paper, a new divergence measure of belief function based on Deng entropy is proposed in order to measure the divergence of different belief function. The divergence measure is the generalization of Kullback-Leibler divergence for probability since when the basic probability assignment (BPA) is degenerated as probability, divergence measure is equal to Kullback-Leibler divergence. Numerical examples are used to illustrate the effectiveness of the proposed divergence measure.
Category: Artificial Intelligence

[16] viXra:1902.0254 [pdf] submitted on 2019-02-14 09:27:17

Machine Learning Plant's Secrets

Authors: George Rajna
Comments: 32 Pages.

Plants are master chemists, and Michigan State University researchers have unlocked their secret of producing specialized metabolites. [21] Marculescu, along with ECE Ph.D. student Chieh Lo, has developed a machine learning algorithm—called MPLasso—that uses data to infer associations and interactions between microbes in the GI microbiome. [20] A team of researchers from the University of Muenster in Germany has now demonstrated that this combination is extremely well suited to planning chemical syntheses—so-called retrosyntheses—with unprecedented efficiency. [19]
Category: Artificial Intelligence

[15] viXra:1902.0245 [pdf] submitted on 2019-02-15 04:35:12

Before We Can Find a Model, We Must Forget About Perfection

Authors: Dimiter Dobrev
Comments: 1 Page. This is a short summary.

In Reinforcement Learning we look for a model of the world. Typically, we aim to find a model which tells everything or almost everything. In other words, we hunt for a perfect model (a total determinate graph) or for an exhaustive model (Markov Decision Process). Finding such a model is an overly ambitious task and indeed a practically unsolvable problem with complex worlds. In order to solve the problem, we will replace perfect and exhaustive models with Event-Driven models.
Category: Artificial Intelligence

[14] viXra:1902.0239 [pdf] submitted on 2019-02-13 23:19:21

The Ananda-Damayanthi-Radha-Rohith Rishi Sequence Trends Of Any Set Of Positive Real Numbers

Authors: Ramesh Chandra Bagadi
Comments: 5 Pages.

In this research investigation, the author has detailed the Theory Of Holistic Decomposition Of Any Set Of Prime Number, Natural Numbers, Positive Real Numbers As One Or More Sets Each With Some Periodicity Of The Number’s Non Integral Prime Basis Position Number.
Category: Artificial Intelligence

[13] viXra:1902.0236 [pdf] submitted on 2019-02-13 05:05:09

Theory Of Holistic Decomposition Of Any Set Of Any Natural Numbers As One Or More Sets Each With Some Periodicity Of The Number’s Non Integral Prime Basis Position Number. {Version 4}

Authors: Ramesh Chandra Bagadi
Comments: 5 Pages.

In this research investigation, the author has detailed the Theory Of Holistic Decomposition Of Any Set Of Any Natural Numbers As One Or More Sets Each With Some Periodicity Of The Number’s Non Integral Prime Basis Position Number.
Category: Artificial Intelligence

[12] viXra:1902.0220 [pdf] submitted on 2019-02-13 03:06:19

Comments on the Book "Architects of Intelligence" by Martin Ford in the Light of the SP Theory of Intelligence

Authors: J Gerard Wolff
Comments: 49 Pages.

The book "Architects of Intelligence" by Martin Ford presents conversations about AI between the author and people who are influential in the field. This paper discusses issues described in the book in relation to features of the "SP System", meaning the "SP Theory of Intelligence" and its realisation in the "SP Computer Model". The SP System, outlined in an appendix, has the potential to solve several of the problems in AI research described in the book, and some others. Strengths and potential of the SP System, which in many cases contrast with weaknesses of deep neural networks (DNNs), include the following: the system exhibits a more favourable combination of simplicity and versatility than, arguably, any alternatives; the system has strengths and long-term potential in pattern recognition; the system appears to be free of the tendency of DNNs to make large and unexpected errors in recognition; the system has strengths and potential in unsupervised learning, including grammatical inference; the SP Theory of Intelligence provides a theoretically coherent basis for generalisation and the avoidance of under- or over-generalisations; that theory of generalisation may help driverless cars avoid accidents; the system, unlike DNNs, can achieve learning from a single occurrence or experience; the system, unlike DNNs, has relatively tiny demands for computational resources and volumes of data, with much higher speeds in learning; the system, unlike most DNNs, has strengths in transfer learning; the system, unlike DNNs, provides transparency in the representation of knowledge and an audit trail for all its processing; the system has strengths and potential in the processing of natural language; as a by-product of its design, the system exhibits several different kinds of probabilistic reasoning; the system has strengths and potential in commonsense reasoning and the representation of commonsense knowledge; other strengths of the SP System are in information compression, biological validity, scope for adaptation, and freedom from catastrophic forgetting. Despite the importance of motivations and emotions, no attempt has been made in the SP research to investigate these areas.
Category: Artificial Intelligence

[11] viXra:1902.0195 [pdf] submitted on 2019-02-11 08:39:31

Machine Learning Quantum Fireworks

Authors: George Rajna
Comments: 43 Pages.

A greater understanding of these behaviors could one day feed into technology, he said, such as ways to extend the reach of quantum networks across greater distances. [25] Physicists in the US have used machine learning to determine the phase diagram of a system of 12 idealized quantum particles to a higher precision than ever before. [24] The research group took advantage of a system at SLAC's Stanford Synchrotron Radiation Lightsource (SSRL) that combines machine learning—a form of artificial intelligence where computer algorithms glean knowledge from enormous amounts of data—with experiments that quickly make and screen hundreds of sample materials at a time. [23]
Category: Artificial Intelligence

[10] viXra:1902.0182 [pdf] submitted on 2019-02-11 02:15:05

Theory Of Holistic Decomposition Of Any Set Of Any Natural Numbers As One Or More Sets Each With Some Periodicity Of The Number’s Non Integral Prime Basis Position Number {Version 2}

Authors: Ramesh Chandra Bagadi
Comments: 4 Pages.

In this research investigation, the author has detailed the Theory Of Holistic Decomposition Of Any Set Of Any Natural Numbers As One Or More Sets Each With Some Periodicity Of The Number’s Non Integral Prime Basis Position Number.
Category: Artificial Intelligence

[9] viXra:1902.0174 [pdf] submitted on 2019-02-10 00:49:30

Theory Of Holistic Decomposition Of Any Set Of Any Natural Numbers As One Or More Sets Each With Some Periodicity Of The Number’s Non Integral Prime Basis Position Number

Authors: Ramesh Chandra Bagadi
Comments: 4 Pages.

In this research investigation, the author has detailed the Theory Of Holistic Decomposition Of Any Set Of Any Natural Numbers As One Or More Sets Each With Some Periodicity Of The Number’s Non Integral Prime Basis Position Number.
Category: Artificial Intelligence

[8] viXra:1902.0168 [pdf] submitted on 2019-02-09 05:50:49

Pictionary-Like Game in Robots

Authors: George Rajna
Comments: 54 Pages.

At the Allen Institute of Artificial Intelligence, a private research center perched on the north shore of Lake Union in Seattle, computer scientists are working on imbuing software with humanlike abilities to recognize images and understand language that could someday make that sort of collaboration possible. [30] A study by the Centre for Cognitive Science at TU Darmstadt shows that AI machines can indeed learn a moral compass from humans. [29] A group of researchers from MIT have already developed an AI robot that can assist in a labour room. [28]
Category: Artificial Intelligence

[7] viXra:1902.0151 [pdf] submitted on 2019-02-08 05:44:49

Theory Of Holistic Decomposition Of Any Set Of Given Primes As One Or More Sets Each With Some Periodicity Of The Prime Number’s Basis Position Number

Authors: Ramesh Chandra Bagadi
Comments: 3 Pages.

In this research investigation, the author has detailed the Theory Of Holistic Decomposition Of Any Set Of Given Primes As One Or More Sets Each With Some Periodicity Of The Prime Number’s Basis Position Number.
Category: Artificial Intelligence

[6] viXra:1902.0136 [pdf] submitted on 2019-02-08 03:10:15

Theory Of Decomposition Of Any Set Of Given Primes As One Or More Sets Each With Some Periodicity Of The Prime Number’s Basis Position Number

Authors: Ramesh Chandra Bagadi
Comments: 3 Pages.

In this research investigation, the author has detailed the Theory Of Decomposition Of Any Set Of Given Primes As One Or More Sets Each With Some Periodicity Of The Prime Number’s Basis Position Number.
Category: Artificial Intelligence

[5] viXra:1902.0123 [pdf] submitted on 2019-02-07 11:30:17

Moral Compass from Human Text

Authors: George Rajna
Comments: 52 Pages.

A study by the Centre for Cognitive Science at TU Darmstadt shows that AI machines can indeed learn a moral compass from humans. [29] A group of researchers from MIT have already developed an AI robot that can assist in a labour room. [28] Researchers at Fukuoka University, in Japan, have recently proposed a design methodology for configurable approximate arithmetic circuits. [27]
Category: Artificial Intelligence

[4] viXra:1902.0077 [pdf] submitted on 2019-02-05 02:28:35

Looking Into the Future of ai and the Embedded Systems Development with Interesting Intelligent Iot Applications Based on Specified Hardware & Software Via C/c++/ruby/ai/ml Related Concepts – a Short Technical Note

Authors: Nirmal Tej Kumar
Comments: 3 Pages. Short Communication & Technical Notes

Looking into The Future of AI and the Embedded Systems Development With Interesting Intelligent IoT Applications based on Specified Hardware & Software via - C/C++/Ruby/AI/ML related Concepts – A Short Technical Note.
Category: Artificial Intelligence

[3] viXra:1902.0046 [pdf] submitted on 2019-02-03 08:35:44

1972 Proposal to Harvard for Backpropagation and Intelligent Reinforcement System

Authors: Paul Werbos
Comments: 32 Pages. What happened with this heresy from proposal to thesis is explained in Werbos (2006). Backwards differentiation in AD and neural nets: Past links and New Opportunities, In Automatic Differentiation, Springer

The great new revolution since 2010 in deep learning and machine learning based on neural networks is massively changing the world, and is a subject of great ruminations by high-level decision makers. (For example, see http://www.intelligence.senate.gov/hearings/open-hearing-worldwide-threats-hearing-1.) But the key design principles, such as backpropagation and reinforcement learning based on approximate dynamic programming (as in Alpha Go) were known, and were rejected as heresy, long ago. (See the recent book, https://www.amazon.com/Artificial-Intelligence-Neural-Networks-Computing-ebook/dp/B07K55YZRK, by the President of the International Neural Network Society, for an overview.) This paper, written in 1972 (and scanned into pdf in 2015), was the first explicit proposal for how to build a general reinforcement learning system, based on backpropagation and dynamic programming implemented through model neural networks, capable of converging to an optimal strategy of action in “any” environment informed by an understanding/model which it learns of how the environment works. Modern work uses more sophisticated language, but this effort to explain the underlying ideas in simpler language may still be of value to many. The 1974 thesis itself has been reprinted by Wiley, and has more than 4000 citations listed in scholar.google.com
Category: Artificial Intelligence

[2] viXra:1902.0033 [pdf] submitted on 2019-02-02 05:01:39

Software Detect Fake News

Authors: George Rajna
Comments: 48 Pages.

Fraunhofer researchers have developed a system that automatically analyzes social media posts, deliberately filtering out fake news and disinformation. [27] If you see a video of a politician speaking words he never would utter, or a Hollywood star improbably appearing in a cheap adult movie, don't adjust your television set—you may just be witnessing the future of "fake news." [26] Artificial intelligence can play chess, drive a car and diagnose medical issues. Examples include Google DeepMind's AlphaGo, Tesla's self-driving vehicles, and IBM's Watson. [25]
Category: Artificial Intelligence

[1] viXra:1902.0032 [pdf] submitted on 2019-02-02 05:18:09

Artificial Intelligence Harder for Hackers

Authors: George Rajna
Comments: 43 Pages.

Now, two Boston University computer scientists, working with researchers at Draper, a not-for-profit engineering solutions company located in Cambridge, have developed a tool that could make it harder for hackers to find their way into networks where they don't belong. [26] IBM, home of the question-answering computer system Watson, was by far the company with the largest portfolio of AI patent applications, with a total of 8,290 inventions, followed by Microsoft with 5,930, the report showed. [25] Researchers at Aalto University and the Technical University of Denmark have developed an artificial intelligence (AI) to seriously accelerate the development of new technologies from wearable electronics to flexible solar panels. [24]
Category: Artificial Intelligence