Symbolic Artificial Intelligence (AI) is a subfield of AI that focuses on the processing and manipulation of symbols or concepts, rather than numerical data. The goal of Symbolic AI is to build intelligent systems that can reason and think like humans by representing and manipulating knowledge and...
Cognitive computing is a subfield of AI that aims to simulate human thought processes and make decisions similar to humans.
As this technology moves from prototype to product faster and faster, these have become questions for all of us. But (spoilers!) I don’t have the answers. I can’t even tell you what AI is. The people making it don’t know what AI is either. Not really. “These are the kinds of...
Neuro-Symbolic AI is a burgeoning field that marries two distinct realms of artificial intelligence: neural networks, which form the core of deep learning, and symbolic AI, which encompasses logic-based and knowledge-based systems. This synergy is designed to capitalize on the strengths of each a...
The current state of symbolic AI Some believe that symbolic AI is dead. But this assumption couldn’t be farther from the truth. In fact, rule-based AI systems are still very important in today’s applications. Many leading scientists believe thatsymbolic reasoning will continue to remain a ve...
.Symbolic AI is also known as classical AI, or even GOFAI (good old-fashioned AI). The key concept here is the use of symbols and logical reasoning to solve problems. For example, we knowa German shepherd is a dog, which is a mammal; all mammals are warm-blooded; therefore, a ...
It’s no wonder that AI is becoming more and more popular. Artificial intelligence is able to facilitate a whole host of processes and can even help you build your own website. With so many different AI tools out there, which ones are important to know about? Get familiar with the… ...
as exemplified in neural AI, is better suited for making quick judgments, such as identifying a cat in an image. System 2 analysis, exemplified in symbolic AI, involves slower reasoning processes, such as reasoning about what a cat might be doing and how it relates to other things in the ...
and machine learning is a subset of artificial intelligence. Essentially, every ML application can be referred to as AI, but not all artificial intelligence applications use machine learning. For example, rule-basedsymbolic AIfalls under the AI umbrella, but it isn’t a true example of machine ...
a block of pixels. The naïve approach to solving this problem with symbolic AI would be to create a rule-based system that compares the pixel values in an image against a known sequence of pixels for a specific object. The problem with this approach is that the pixel values of an ...