Artificial Intelligence and Cognitive Reasoning

In today's pace and technology-savvy society, everyone is looking for state-of-the-art technology and the next big event's desire is to change the technology sector most quickly, making it the fast growing sector I will. In myriad movies, television programs, novels, the characters of humanoids, which are the actual machine functions to learn artificial intelligence and new skills, are appearing. The problem with these programs is that the performance of contemporary artificial intelligence is greatly distorted and these machines have a personality and emotions that are only relevant to humans when they are very complex computer programs.

My artificial intelligence (AI) research is centered on the idea that advanced cognitive machines use intuition as the basis of intelligence (see "Artificial intuition"). Our own human idea provides sufficient evidence of general intelligence. Humans are basically intuitive machines and our rational (conscious) self is a mere intuitive machine-based simulation (see "Cognitive Stack"). This is in contrast to Descartes' famous "Kosito Ego sum". In other words, our rational way of thinking separates us from biology. Therefore, in order to require methods and methods driven by logical mechanisms, cognitive bias is required. This is certainly the reason why Good Old Fashion AI (GOFAI) has failed for decades. I am trying to solve intelligent problems from formal logic as a starting point.

Artificial intelligence (AI) provides the ability to perform intelligent tasks such as inference and learning from experiences to a computer or computer controller. Cognitive computing is a term that started ten years ago. In the face of cognitive overload, it is necessary to support decision making. Relying on AI digital assistants such as Syria and Alexa, we have given clear benefits of current artificial intelligence and help us make simple decisions.

In a recent discussion, the definition of a generally accepted definition of artificial intelligence (AI) is the theme of the Renaissance. Some people change the name of AI's "cognitive computing" or "machine intelligence", some people mistakenly exchange AI as "machine learning". This is one reason why AI is not technology. In fact, it ranges from a wide range of fields, from robotics to machine learning. For the most part of us we are convinced that the ultimate goal of artificial intelligence is to build a machine that performs tasks and cognitive functions that are otherwise within the scope of human intelligence. In order to achieve this goal, you need to be able to learn these functions automatically, rather than programming each function explicitly end-to-end.