What is AI - Artificial Intelligence

in #artificial-intelligence9 years ago (edited)

What is AI - Artificial Intelligence

Genesis and Transformation of Intelligent Entities Systems

The Slide below was used as final mantra to finish training courses in Data Mining and Artificial Intelligence , and help to visualize and integrate all the concepts about AI

The field of Artificial Intelligence (AI) aims to understand, design and build cybernetic machines artificially called intelligent entities.

This engineering virtually creates intelligent entities to generate intelligence, while psychology is a science of the mind in the form of reverse engineering process, based on the intelligence to set its genesis and processes

AI have inevitable consequences on the evolution in computer science, biology, life and Artificial Societies (Second Life)

The intelligent entities of AI systems, made to think and act rationally, through the models implemented in computational terms, allowing the execution of algorithms, perceptions and actions required.

AI ​​creates methods based on computer models to automate perceptual activities, cognitive and manipulative, using algorithms that allow you to recreate the process of analysis and synthesis of human thought, reproducing the processes and mental faculties in software and hardware (computers)

- The AI ​​like computational model in development

The computer is a cybernetic machine of symbolic processing, automated and efficient, performing the cognitive functions of the brain, with greater capacity, speed, complexity and storage, creating Virtual Worlds to control and dominate the reality and applicability in various scientific fields and human intervention.

The development of Intelligent Agents that allow to perceive, understand, infer and manipulate a world with Pattern Recognition (development of techniques for object classification in certain classes), extracting significant properties or the rest of the attributes that is not significant to the problem

Agents also have the decision function that uses heuristics ( "heuristic") based on intuition and experience, deterministic mathematical methods or statistical (assumes a distribution curve for the population) as well as linguistic methods to interact with other systems, collaborative or competitive multi-agent

Science and technology applied to automation of obtaining knowledge, reasoning, and action and even the patterns of thinking, are for example the BCI systems (Brain computer Interface) systems that allow to pass directly from thought to the action

AI - Artificial Intelligence will be applied as a method and technology that will transform and affect all scientific areas like search technologies, knowledge representation, vision, natural language processing, robotics, machine learning and others

Tools of AI - Artificial Intelligence

Artificial Intelligence Tools = Methodologies + Technologies + Languages and Development Environments

The Theories and Methodologies are used to, specify, develop, construct, and evaluate intelligent systems and AI applications

Models and Languages

Conceptual modeling languages ​​( UML), knowledge representation languages ​​(clips / Jess) and generic nature of programming languages for artificial intelligence applications ​​( Prolog,LISP , C++, Java, MATLAB, and Python )

The Statistics

Classic Statistics is the basis of most technologies from which the Data Mining is built.

Classical Statistical involves concepts such as normal distribution, variance, regression analysis, simple deviation analysis sets, discriminant analysis and confidence intervals to study the data and the relationships between them.

Artificial Intelligence

Artificial Intelligence, or AI, is built from the foundations of heuristics (science of symbols), which as opposed to statistical attempts to clone the way man thinks in solving statistical problems.

Some AI concepts adopted by some end products such as optimization modules queries to database systems, or military products unaffordable for civil society

Machine Learning

The third development is Machine Learning, the connection between statistics and AI due to their combination of heuristics and statistical analysis.

The machine learning tries to make computer programs "learn" with the data they study, such that these programs take different decisions based on characteristics of the data studied using statistics to the fundamental concepts with advanced help more heuristic AI and algorithms to achieve its objectives.

Some Steemit posts in Artificial Intelligence:

Artificial Intelligence Nanoarray Breathalyzer Technology to Diagnose Diseases

Artificial Intelligence — Steemit

Rise of the Robosexuals + Will Humans Be Incubated In Robots to Keep Our Species Alive?

The Future: An Efficient Justice System Run By Artificial Intelligence

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Thanks a lot for reading and adding more knowledge to this subject
I should apologize for not mentioning all the good posts in AI, in which steemit is very rich
Reading your posts now :)

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