What is chaos theory in AI?

Chaos theory proposes that there is pattern even in a seemingly random ‘chaotic’ system. The butterfly effect is a concept that a small change in one ‘variable’ such as an initial state of the system can have dramatic results.

What are the theories of artificial intelligence?

The general theory of artificial intelligence includes the study of neural-like elements and multidimensional neural-like growing networks, temporary and long term memory, study of the functional organization of the “brain” of the artificial intelligent systems, of the sensor system, modulating system, motor system.

What are the 4 processes of artificial intelligent?

There are four types of artificial intelligence: reactive machines, limited memory, theory of mind and self-awareness.

Can you predict chaos theory?

Chaos is everywhere. This sensitivity to initial conditions means that with chaotic systems, it’s impossible to make firm predictions, because you can never know exactly, precisely, to the infinite decimal point the state of the system.

What is chaos algorithm?

The chaos – based cryptographic algorithms have suggested new ways to develop efficient image encryption schemes. The random-like nature of chaos is effectively spread into encrypted images. The proposed method transforms the statistical characteristic of original image information.

What is reactive artificial intelligence?

Reactive AI functions the way it was programmed with a predictable output based on the input it receives. These reactive machines will respond to identical situations in the exact same way every time. Reactive machines aren’t able to learn or conceive of the past or future.

What is the most complex form of artificial intelligence?

4. Self-awareness. Self-awareness AI machines are the most complex that we might ever be able to envision and are described by some as the ultimate goal of AI. These are machines that have human-level consciousness and understand their existence in the world.

How is the chaos theory used today?

Take weather for example. Weather patterns are a perfect example of Chaos Theory. We can usually predict weather patterns pretty well when they are in the near future, but as time goes on, more factors influence the weather, and it becomes practically impossible to predict what will happen.

How do you use chaos theory?