Artificial Intelligence Systems in Easy Words, Part 1

From the time I registered as a MBA student at University of Nevada, I have been talking to my colleges about Artificial Intelligence (AI) and its application in economy, finance, pricing, and literally for everything. We were sometimes struggling on the privacy issues of intelligence systems and weather these intelligence systems can overcome the human’s intelligence. I, as the only engineering student in my MBA program who has worked with intelligent systems, was always thinking of defining artificial intelligence in easy words; something beyond just definition, something practical. In this and couple of more upcoming blog posts, I want to bring up a very simple example of artificial intelligence application to cover all concepts.

An intelligent agent is a core of intelligent system. Intelligent agent defined as an autonomous entity that observes the environment and acts upon an environment (i.e. it is an agent) and directs its activity towards achieving a goal or goals. The most familiar and the most complicated intelligent agent is our brain. One of our first1.JPG brain’s goal was learning to walk; our brain was and still is observing environment through vision sensors, which are our eyes, and acts upon an environment by using our muscles as an actuators.

The same thing happens with artificial intelligent agents. There is always a device or medium that an intelligent agent observes the environment through that, and also, a device or medium that the intelligent agent impacts the environment. Obviously, this ongoing process happens to gain advantage or to achieve the goal. If I compare human’s brain as an intelligent agent with other artificial intelligent agents, I would get the table below.

Intelligent agents observes the environment through acts upon an environment through Goal
Human brain eyes Leg’s muscles To walk
Bipedal robot Vision sensors Bipedal actuators (motors) To keep the robot’s stability
Stock market Historical stock market data Selling or buying stocks Gain profit by selling and buying stocks
Amazon’s supply chain Historical buyer’s shopping behavior Predicting buyer’s shopping in future and sore goods in warehouse near end-user customers Lowering shipment cost

Questions that would come up after this comparison are:

  1. What makes our brain intelligent?
  2. Can we create an artificial agent that works like brain?

In my next blog post I will answer these two questions as well as covering more concepts and examples.

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Author: Amin Sabzehzar

MBA student Mechanical Engineer University of Nevada, Reno

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