in the last few years Rapid development of artificial intelligence Machine learning technology has taken the world by storm, with many experts believing it will fundamentally change the way all humans live.
The general idea of artificial intelligence is that it represents the ability to mimic human consciousness and thus complete tasks that only humans can do. Artificial intelligence is being used to make the best decisions in a game of chess, drive a family of four across the United States, and write 3,000 essays worldwide for college students.
Read on to understand the concepts and capabilities of the four categories of artificial intelligence.
Artificial Intelligence FAQ
- reactive machine
- limited memory
- theory of mind
- self-awareness
1. Reactive Machine
The most basic form of artificial intelligence is reactive machines. Reactive machines react to input with simple outputs programmed into the machine. In this form of AI, the program doesn’t actually have the ability to learn new concepts or make predictions based on data sets. At this first stage of AI, reactive machines do not store input, so past decisions cannot be used to inform current decisions.
Reactive machines best represent an early form of artificial intelligence. Reactive machines were able to beat the world’s best chess players in the late 1990s by making optimal decisions based on the opponent’s moves. The world was shocked when IBM’s chess player Deep Blue was defeated Chess Grandmaster Guy Kasparov During the 1997 rematch.
Reactive machines have the ability to generate thousands of different possibilities in the present based on their input. However, the AI currently ignores all other forms of data and does not actually learn. In any case, this programming paved the way for machine learning computing and introduced the unique power of artificial intelligence to the general public for the first time.
2. Limited memory
Limited memory has further expanded the complexity and power of machine learning computing. This form of artificial intelligence understands the concept of storing previous data and using it to make accurate predictions about the future. Through a series of trial-and-error efforts, the program becomes perfectly capable of using limited memory to perform tasks normally performed by humans, such as driving a car.
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AIs with limited memory are trained by scientists to memorize datasets before an environment is built with the ability to correct mistakes and reinforce approved behaviors. The AI perfects its ability to complete a task during the training phase by receiving feedback from human or environmental stimuli. That feedback will be considered and used to make better decisions in the future.
A good example of artificial intelligence with limited memory is self-driving cars. This model looks at the current speed and direction of other cars to make the best decisions on the road. Traffic lights, road structure, lane markings, and how a human driver behaves on the road are also taken into account during the training phase of an autonomous vehicle. Companies like Tesla are leading the way in manufacturing and marketing AI-controlled self-driving cars at scale.
3. Theory of Mind
Theory of mind AI systems are still being researched and developed by computer scientists today and may represent the future of machine learning. A common concept in theory of mind is AI systems. You will be able to react in real time to the emotions and mental characteristics of the humans you encounter. Scientists hope AI can complete these tasks by understanding the emotions, beliefs, thoughts and needs of individual humans.
This future AI system will have to look ahead in the data and understand that humans often make decisions based on their state of mind and overall emotions rather than purely on sound logic and facts. ability is required. Therefore, machine learning should adjust decisions and actions according to the human mental state.
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While this is currently not possible, if theory of mind becomes a reality, it would be one of the biggest developments in artificial intelligence computing in decades.
4. Self-awareness
The final stage in the development of artificial intelligence will be when machines acquire the ability to self-aware and form their own identities. This form of AI is completely impossible today, but it has been used for decades in science fiction media to frighten and intrigue the public. To achieve self-aware AI, scientists need to find a way to replicate consciousness in machines.
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The ability to map human consciousness is a goal that goes well beyond simply incorporating inputs into AI programs or using datasets to predict future outcomes. This is the pinnacle of machine learning technology and has the potential to fundamentally change the way humans interact with themselves and the world.
Stages of AI (ANI, AGI, ASI)
Narrowly defined artificial intelligence (ANI) is the simplest form of AI, but it is also one of the most common types of machine learning in the everyday lives of individuals around the world. Narrow intelligence machines are based on learning algorithms designed to successfully complete one single task and do not store information to complete another task. Tasks where narrow intelligence is typically successful include language translation and image recognition. Products such as Apple’s Siri and Amazon’s Alex are examples of ANI.
Artificial general intelligence (AGI) refers to a form of machine learning that simulates the human cognitive system by completing different takes. This form of AI can store information during completion and use that data to perfect its performance on future tasks. However, AGI is only a hypothetical form of AI and has not yet been invented. The ultimate goal of AGI is to surpass human capabilities in completing complex tasks.
Artificial superintelligence is another example of AI yet to be invented, but rather a concept that represents the most advanced form of machine learning. ASI is a concept that envisions a future where computer programs can simulate human thinking and evolve beyond human cognitive abilities. This stage of AI is considered science fiction, but advances in AI could make it a few decades away.