“ Cognitive science and AI have a symbiotic relationship between them”
Living organisms always contributed to the inspirations for so many modern technologies. Of course, the first example that comes to mind will be cameras, which can be seen as an artificial eyes having lenses and light-sensitive surfaces. These are well studied in the subject called biomimicry. Now it’s reached the time for more research on mimicking human intelligence, which gave birth to the broad field of artificial intelligence.
Discussing the significance of AI leads us to the huge applications like self-driving cars, intelligent e-commerce websites, etc. and accomplishments include playing games like chess and go, in which, you should be surprised to know that games like Go are extremely complex and their possible configurations are beyond the number of particles in this universe.
But these applications and achievements are not worth stating that AI has reached the level of human intelligence. It can’t still solve simple problems without errors and also lacks intuition. Integrating the properties like consciousness and common sense with a machine is one of the ways to develop intelligent machines and so AI has a long way to go.
Before thinking about any solutions we have to first understand that most of the things like common sense, intuition etc. that today’s AI lacks are carried out by an entity called the mind in us. So it is possible that maybe the absence of proper research on mind is the main reason for why the dream of General AI is still far away.
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What is this entity called mind? How did it form? Does the mind control the body or vice versa? Will the mind be formed in machines when it reaches its computing powers up to humans? are some interesting questions to be asked about the mind. It is important to know how the mind works and controls before further going to develop intelligence machines. We should first understand about the activities of our mind in the process of solving a particular problem or in a process of decision making, then think about how to implement these operations artificially in machines, and finally develop it physically which will be capable of solving such problems.
The term intelligence is closely related with a number of things namely gathering knowledge from experience, learning, attention, problem solving, decision making etc. So understanding how these things work in us might be helpful in getting a blueprint of intelligence machines. This approach is promising because ‘we’ (human) are the proof that intelligent machines exist in this universe. If we are capable of developing artificial sounds, cameras for vision, mechanical things inspired from living organisms, then it is certain that we can develop machines who ‘mind their words’.
Cognitive science is relatively a new field which try to understand how people do various kinds of thinking. It is an intersection of subjects like psychology, neuroscience, computer science, linguistics, philosophy and anthropology. Cognitive scientist studies different perspectives on mind by approaches from different fields and trying to understand what is this mystical thing called mind. Cognitive science and AI has a symbiotic relationship between them. Successful research in one field would have high impact on the other. Suppose a cognitive scientist understand the foundations of natural intelligence, it help AI researchers to build intelligent machines. On the other way, if AI scientists successfully developed an intelligent machine, it would help cognitive scientists to conclude their quest. So the coming years can be seen as a golden age for these two subjects.