The analogy between life and information-for example, pattern recognition, with hierarchical structure and suitable weightings for constituent features (Kurzweil, 2012)-seems to be central to the effect that artificial mind may represents an expected advance in the evolution of life in the universe, since information (namely, pattern recognition) is supposed to be the essence of mind and is implemented by the same basic neural mechanisms. And since we can replicate these mechanisms in a machine, there is nothing to prevent us from setting up an artificial mind. We just need to install 1 the right pattern recognizers.
THE ARTIFICIAL MIND AND COGNITIVE SCIENCEThe area of artificial mind research can be described as including the following: machine learning, reasoning, knowledge representation, restriction fulfillment, search, planning, and scheduling, agents, robotics, philosophical foundations, natural language processing, perception and vision, cognitive modeling, knowledge, and applications engineering. The main core consists of the first three: machine learning, reasoning, and knowledge representation. Now let's look at the area of cognitive science research.Consider the following items: perception and action, memory, attention and consciousness, so-called nuclear knowledge, classification, lexicon and ontology, learning, language and representation, choice, rationality and decision, culture, and social awareness. The area of study that includes these concepts is explored by cognitive science research, with artificial mind research as a major part of it. In a way, cybernetics, computer sciences, language sciences, neurosciences, brain sciences, 1 To create a mind, as argued by Kurzweil (2012), we need to create a machine that recognizes patterns, such as letters and words. Consider the task of translating a paper. Despite our best efforts to develop artificial universal translators, humans are still very far from being able to express what we write in another language.