Curso Basico de Microcontroladores PIC con PICBASIC

Iniciamos el curso basico de microcontroladores PIc utilizando el compilador PICBASIC.

Muy facil de programar

Caracteristicas del compilador

El microcontrolador PIC, es un circuito integrado que contiene memoria, unidades procesadoras y circuitos de entrada/salida, en una sola unidad. Digamos que es muy similar a un ordenador, pero en formato pequeño…
Para que este pequeño ordenador en formato pequeño funcione a nuestro gusto, debemos implementar un set de instrucciones para hablarle y ordenarle.
Como ya sabrán, los microcontroladores son comprados en “blanco” y luego son programados con un programa específico de control. Una vez programado, este microcontrolador es introducido en algún producto para cumplir el rol de trabajo de controlador.
Es sabido, que estos diminutos circuitos integrados, tiene una inteligencia limitada por nosotros mismos a la hora de ejecutar una acción; pues, según se lo programe, se delega solo la responsabilidad de la orden impartida.

State of AI in 2015

Por ejemplo, si nosotros programamos a este microcontrolador para que ejecute la tarea de monitorear y administrar el funcionamiento de un motor a explosión como lo que podemos ver en un automóvil, este solo ara lo que le dijimos por intermedio de las instrucciones de programación, y no esperen que este haga otra cosa que no le hallamos enseñado en su rutina de control.
Hoy en día, se suele aplicar microcontroladores en los desarrollos electrónicos, por que estos pueden reemplazar a un gran número de partes separadas, o incluso a un circuito electrónico completo. Algunas de las ventajas obtenidas con el uso de microcontroladores en el diseño de productos son:

Aumento en la confiabilidad debido al menor número de partes.
Reducción en los niveles de existencia ya que un microcontrolador reemplaza varias partes.
Simplificación del ensamblaje del producto y productos finales más pequeños.
Gran flexibilidad y adaptabilidad del producto ya que las funciones del producto están programadas en el microcontrolador y no incorporadas en el hardware electrónico.
Rapidez en modificaciones y desarrollo del producto mediante cambios en el programa del microcontrolador, y no en el hardware electrónico.

Intelligence and the AI community

Until the mid 2000s, there was a tendency in the AI community to contrast artificial intelligence with human intelligence, an action that merely passed the buck to psychologists.

In November 2007 an AI pioneer at Stanford University, addressed this issue:

The problem is that we cannot yet characterize in general what kinds of computational procedures we want to call intelligent.

 John MCarthy

This informal definition signposts things that a regulator could manage, establishing and applying objective measures of ability (as defined) of an entity in one or more environments (as defined). The core focus on achievement of goals also elegantly covers other AI.

Another constraint is that AIXI lacks a “self-model” (but a recently proposed variant called “reflective AIXI” may change that).

Smart boats and yatches are already here. What does it take to acquire one?

First, the informal definition may not be directly usable for regulatory purposes because of AIXI’s own underlying constraints. One constraint, often emphasised by Hutter, is that AIXI can only be “approximated” in a computer because of time and space limitations.

Second, for testing and certification purposes, regulators have to be able to treat intelligence as something divisible into many sub-abilities (such as movement, communication, etc.). But this may cut across any definition based on general intelligence.

Intelligence measures an agent’s ability to achieve goals in a wide range of environments.

From a consumer perspective, this is ultimately all a question of drawing the line between a system defined as displaying actual AI, as opposed to being just another programmable box.

If we can jump all the hurdles, there will be no time for quiet satisfaction. Even without the Big Four, increasingly capable and ubiquitous AI systems will have a huge effect on society over the coming decades, not least for the future of employment.

This informal definition signposts things that a regulator could manage, establishing and applying objective measures of ability (as defined) of an entity in one or more environments (as defined). The core focus on achievement of goals also elegantly covers other intelligence-related concepts such as learning, planning and problem solving.

How would you identify an Android?

The future of AI

First, the informal definition may not be directly usable for regulatory purposes because of AIXI’s own underlying constraints.

• AIXI can only be “approximated” in a computer because of limitations.
• Another constraint is that AIXI lacks a “self-model”.
• Regulators have to be able to treat intelligence as something divisible.
• May cut across any definition based on general intelligence.
• Other intelligence-related concepts such as problem solving.

Second, for testing and certification purposes, regulators have to be able to treat intelligence as something divisible into many sub-abilities (such as movement, communication, etc.). But this may cut across any definition based on general intelligence.

But if the Big Four do ever (seem to) show up in AI systems, we can safely say that we’ll need not just a yacht of philosophers, but an entire regatta.