The 2 Main Types of Artificial Intelligence

Introduction

The most significant kind of artificial intelligence is outlined in the article that follows. To enable machines to carry out tasks akin to those performed by humans is the primary goal of artificial intelligence. Therefore, how closely AI can mimic human behavior serves as the main criterion for categorizing it. Generally speaking, AI can be divided into two categories based on how well it can imitate the human brain. The "Based on Functionality" classification method categorizes AI based on how similar their minds are to human minds and how capable they are of thinking and feeling like people. In the IT sector, the second classification method—"Based on Capabilities" of AI against Humans—is more prevalent.

Different Types of Artificial Intelligence

There are mainly two types of AI which are based on Functionality & Capabilities:

Type 1 – Based on Functionality

1. Reactive Machine

They are the most basic and oldest type of Artificial Intelligence. They replicate a human’s ability to react to different kinds of stimuli. This type of AI has no memory power, so they lack the capability to use previously gained information/experience to obtain better results. Therefore, these kinds of AI don’t have the ability to train themselves like the ones we come across nowadays.

Example: Deep Blue, IBM’s chess-playing supercomputer, is the perfect example of these kinds of machines. It is famous for defeating international grandmaster Garry Kasparov in the late 1990s. Deep Blue can identify different pieces in the chessboard and how each moves. It can identify all the possible legal moves for itself and its opponents. Based on the option, it selects the best possible move. However, it doesn’t have the ability to learn from its past moves as these machines don’t have any memory of their own.

2. Limited Theory

This type of AI, along with the ability of Reactive Machines, have memory capabilities so they can use past information/experience to make better future decisions. Most of the common applications existing around us fall under this category. These AI applications can be trained by a large volume of training data they store in their memory in a reference model.

Example: Limited Memory technology is used in many self-driving cars use. They store data like GPS location, speed of nearby cars, size /nature of obstructions, among a hundred other kinds of data to drive just like a human does.

3. Theory of Mind

Theory of Mind is the next level of AI, which has very limited to no presence in our day-to-day lives. These kinds of AI are mostly in the “Work in Progress” stage and are usually confined to research labs. These kinds of AI, once developed, will have a very deep understating of human minds ranging from their needs, likes, emotions, thought process, etc. Basis their understanding of Human minds and their whims, the AI will be able to alter its own response.

Example: Researcher Winston in his research, showed a prototype of a robot that can walk down the small corridor with other robots coming from the opposite direction; the AI can foresee other robots movements and can turn right, left or any other way so as to avoid a possible collision with the incoming robots. As per Wilson, this Robot determines its action based on its “common sense” of how other robots will move.

4. Self-Aware AI

This is the final stage of AI. Its current existence is only hypothetical and can be found only in science fiction movies. These kinds of AI can understand and evoke human emotions and have emotions of their own. These kinds of AI are decades, if not centuries, away from materializing. It is this kind of AI which AI skeptics like Elon Musk are wary of. This is because once it is self-aware, the AI can get into Self-Preservation mode; it might consider humanity as a potential threat and may directly or indirectly pursue endeavor to end humanity.

Type 2 – Based on Capabilities

1. Artificial Narrow Intelligence (ANI)

All the existing AI applications which we see around us falls under this category. ANI includes an AI system that can perform narrowly defined specific tasks just like humans. However, these machines cannot perform tasks for which it was not programmed before-hand, so they fail at performing an unprecedented task. Based on the classification mentioned above, this system is a combination of all reactive and limited memory AI. AI algorithms that we use in today’s world to perform the most complex Prediction Modelling fall under this category of AI.

2. Artificial General Intelligence (ANI)

AGI has the capability to train, learn, understand and perform functions just like a normal human does. These systems will have multi-functional capabilities cutting across different domains. These systems will be more agile and will react and improvise just like humans while facing unprecedented scenarios. There is no real-world example of this kind of AI, but a good amount of progress has been made in this field.

3. Artificial Super Intelligence (ASI)

Artificial Super Intelligence will be the top-most point of AI development. ASI will be the most potent form of intelligence to ever exist on this planet. It will be able to perform all the tasks better than humans because of its inordinately superior data processing, memory, and decision-making ability. Some of the researchers fear that the advent of ASI will ultimately result in “Technological Singularity”. It is a hypothetical situation in which the growth in technology will reach an uncontrollable stage, resulting in an unimaginable change in Human Civilization.

At present, it is very hard to foresee how our future will look like when a more dexterous form of AI materializes. However, with great certainty, we are still a long distance apart to reach that stage as we are just in the very nascent stage of the development of advanced AI. For the proponents of AI, we can say that we are just scratching the surface to unearth the true potential of AI, and for the AI skeptics, it is too soon to get chills about Technological Singularity.

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