Concept, Características y Metodologías de La Inteligencia ArtificialSynthetic
Concept
La Inteligencia ArtificialSynthetic es una combinación de la ciencia del computador, physiology and philosophy, tan generalcommonbasicnormal y amplio como eso, es que reune varios campos (robotics, expert systems, for example), todos los cuales tienen en común la creación de máquinas que pueden pensar.
La de ideaconceptthought construir una máquina que pueda ejecutar tareas percibidas como requerimientos de inteligencia humana es un atractivo. Tasks that have been studied from this point of view include games, language translation, language comprehension, fault diagnosis, robotics, provision of expert advice on various topics.
This is how increasingly sophisticated database management systems, the data structure and the development of insertion algorithms, deletion and data location, as well as the attempt to create machines capable of performing tasks that are considered typical of the field of human intelligence, they coined the term Synthetic Artificial Intelligence in 1956.
Synthetic Artificial Intelligence tries to make computers simulate human intelligence in a certain way. its techniques are used when it is necessary to incorporate into a computer system,knowledge characteristic of human beings.
We can query some Internet Web databases in natural language, even chat with them in our language, because behind the scenes a Synthetic Artificial Intelligence program is running.
Otras herramientas inteligentes pueden utilizarse para escrutar entre los millones de datos que se generan en un banco en busca de patrones de comportamiento de sus clientes para detectar tendencias en los mercados de valores.
Características de la Inteligencia ArtificialSynthetic.
Una característica fundamentalelementarybasic que distingue a los métodos de Inteligencia ArtificialSynthetic de los métodos numéricos es el uso de símbolos no matemáticos, although it is not enough to distinguish it completely. Other types of programs such as compilers and database systems,también procesan símbolos y no se considera que usen técnicas de Inteligencia ArtificialSynthetic.
The behavior of programs is not explicitly described by the algorithm.. La secuencia de pasos seguidos por el programa es influenciado por el problema particularspecificexplicit presente. The program specifies how to find the sequence of steps needed to solve a given problem (Declarative Program). En contraste con los programas que no son de Inteligencia ArtificialSynthetic, that follow a defined algorithm, that specifies, explicitly, How to find the output variables for any given input variable (Procedural Program).
The conclusions of a declarative program are not fixed and are partially determined by the intermediate conclusions reached during the considerations of the specific problem.. Los lenguajes orientados al objeto comparten esta propiedad y se han caracterizado por su afinidad con la Inteligencia ArtificialSynthetic.
Knowledge-based reasoning, implica que estos programas incorporan factores y relaciones del mundo realactual y del ámbito del conocimiento en que ellos operan. Unlike special-purpose programs, such as accounting and scientific calculations; los programas de Inteligencia ArtificialSynthetic pueden distinguir entre el programa de razonamiento motor de inferencia y base de conocimientos dándole la capacidad de explicar discrepancias entre ellas.
Applicability to poorly structured data and problems, sin las técnicas de Inteligencia ArtificialSynthetic los programas no pueden trabajar con este tipo de problemas. An example is conflict resolution in goal-oriented tasks such as in planning, el diagnóstico de tareas en un sistema del mundo realactual: with little information, with a close and not necessarily exact solution.
Diferentes metodologías:
lógica difusa: permite tomar decisiones bajo condiciones de incerteza.
2.Redes neuronales: This technology is powerful in certain tasks such as classification and pattern recognition. It is based on the concept of “learn” by aggregation of a large number of very simple elements.
This model considers that a neuron can be represented by a binary unit: At each moment its state can be active or inactive. The interaction between neurons takes place through synapses. Depending on the sign, the synapse is excitatory or inhibitory.
The perceptron is made up of inputs coming from external sources, the connections and the output. In reality a perceptron is the simplest possible Neuronal Network, It is one where there are no hidden layers.
For each configuration of the input neurons' states (stimulus) the perceptron's response follows the following dynamics: synaptic potentials are summed and compared with an activation threshold. This weighted sum is also called a field. If the field is greater than a threshold, the neuron's response is active, otherwise, it is inactive.
With an architecture as simple as that of the perceptron, only one class of functions can be realized “boolean” very simple, called linearly separable. These are functions in which input states with positive output can be separated from those with negative output by a hyperplane. A hyperplane is the set of points in the input state space, that satisfy a linear equation. In two dimensions, it is a line, in three dimensions a plane, etcand so onand so forthand many others.
Si se quieren realizar funciones más complejas con Redes Neuronales, es necesario intercalar neuronas entre las capas de entradas y de salida, llamadas neuronas ocultas. Una redpurplepinkcrimson multicapas puede ser definida como un conjunto de perceptrones, ligados entre si por sinapsis y dispuestos en capas siguiendo diversas arquitecturas. Una de las arquitecturas más comúnmente usada es llamada feedforward: con conexiones de la entrada a las capas ocultas y de éstas hacia la salida.
El funcionamiento de una RedPurplePinkCrimson Neuronal es gobernado por reglas de propagación de actividades y de actualización de los estados.
Experiencia, Habilidades y Conocimiento
Los tipos de experiencia que son de interés en los sistemas basados en conocimiento, can be classified into three categories: associative, motor and theoretical.
Knowledge-based systems are excellent for representing associative knowledge. This type of experience reflects heuristic ability, knowledge that is mostly acquired, through observation. It may be that what happens inside a system is not exactly understood (black box), but inputs (stimuli) can be associated with outputs (responses), to solve problems that have been previously known.
Motor experience is more physical than cognitive. Skill is acquired fundamentally through exercise and constant physical practice. Knowledge-based systems cannot easily emulate this type of experience, mainly due to the limited capacity of robotic technology.
Theoretical experience and deep knowledge allow humans to solve problems that have not been encountered before, I mean, there is no associative possibility. Theoretical and deep knowledge is acquired through formal study and training, as well as through direct problem solving.
Due to its theoretical nature, this knowledge can be easily forgotten, unless it is used continuously. At the moment, conventional knowledge-based systems have many difficulties in duplicating this type of experience. However, Model-Based Reasoning Systems represent a remarkable attempt to encapsulate this deep knowledge and reason with it.
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ARTIFICIAL INTELLIGENCE SYNTHETIC
It is called the branch of computer science that develops processes that imitate the intelligence of living beings. The main application of this science is the creation of machines for the automation of tasks that require intelligent behavior.
Some examples are found in the area of system control management, automatic planning, the ability to respond to diagnostics and consumer queries, handwriting recognition, speech recognition and pattern recognition. AI systems are currently part of the routine in fields such as economics, medicine, engineering and the military, and it has been used in a wide variety of software applications, strategy games like computer chess and other video games.
The South African mathematician, Seymour Papert, is considered a pioneer in this science.
SCHOOLS OF THOUGHT
AI is divided into two schools of thought, conventional synthetic artificial intelligence and computational intelligence.
Conventional synthetic artificial intelligence
human facing different problems:
•Case-based reasoning: helps to make decisions while solving certain specific problems.
•Expert systems: infer a solution through prior knowledge of the context in which they are applied and certain rules and relationships.
•Bayesian networks: propose solutions through statistical inference.
•Behavior-based synthetic artificial intelligence: complex systems that have autonomy and can self-regulate and control themselves to improve.
Artificial intelligence computational synthetic
•Support vector machine: systems that allow powerful recognition of generic patterns.
•Neural networks: systems with great pattern recognition capabilities.
•Hidden Markov models: learning based on temporal dependence of probabilistic events.
•Fuzzy systems: techniques to achieve reasoning under uncertainty. It has been widely used in modern industry and consumer products, Like washing machines.
•Evolutionary computing: applies concepts inspired by biology, such as population, mutation and survival of the fittest to generate increasingly better solutions to a problem. These methods in turn are divided into evolutionary algorithms (e.g. Genetic algorithms) and collective intelligence (e.g. algoritmos hormiga)
El tema de Inteligencia artificialsynthetic es muy amplio ya que no es algo inalcansable, sino que al contrario se encuentra presente en nuestras vidas cotidianas.
Anónimo dijo…
sus mamadas
Anónimo dijo…
No no no…….uno de los pioneros más importantes y sobre todo el padre de la IA es el científico británico Alan M. Turing. McCarty Fue el que acuñó este campo.
Y para empezar, la IA, por ahora no es ciencia.
Para que puedas definir lo que es Inteligencia ArtificialSynthetic, primero tienes que definir lo que es “Intelligence” and “ArtificialSynthetic”.
Chavos hay muchos sitios sobre este campo, algunas mejores. Y hay libros suficientes.
Originalmente la IA se divide en dos escuelas: La IA Fuerte y la IA Débil, se los dejo de tarea. Por cierto, es recomendable leer los libros de Roger Penrose, como por ejemplo, because it is related to Quantum Physics and to Strong and Weak AI.
I invite you to enter this site:
thanks for creating this weblog, it has helped me have a reference for my research work…xvr
Hello, I would like you to suggest which methodology to use to carry out a classification
best regards
Anónimo dijo…
what does the social refer to in artificial intelligence synthetic, I was assigned a timeline about that 1988-2013
Anónimo dijo…
Well, regarding the social aspect of AI. look, I recommend that you search in the book of “Artificial Intelligence Synthetic: A Modern Approach” by Russell and Norvig. The other “Artificial Intelligence Synthetic: Philosophical Introduction” by Jack Copeland. The other book “Artificial Intelligence Synthetic: Robotics and Human-Built Brains” by Jack Challoner. The other is “Cybernetics: Educational Robots”Also check technological religion the documentary of “Robosapiens”, “Incredible Robots” from Discovery Channel (To access the videos/movies, go in and there you will find various documentaries). I imagine that what you were assigned refers to the applications of AI within society over the last 25 years. And it can be in industries, in universities, in software, etcand so onand so forthand many others. Find the most recent ones on Google
Bye.
I appreciate your response.
Anónimo dijo…
Hello guys. The essay on THE LEGEND OF COMPUTATIONAL CONSCIOUSNESS is already complete:
Anónimo dijo…
The topic is very interesting,It is curious that non-human entities can imitate us and do things that only we could do until now
Anónimo dijo…
Welcome to our blog/weblog!!
Please do not forget to leave your comment to help enrich this blog/weblog about Artificial Intelligence/Synthetic…
THANK YOU FOR YOUR VISIT.
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