Springer, an international publishing company, has published the monograph “Cognitive Semantics of Artificial Intelligence: A New Perspective” by Alexander Raikov, member of the Supervisory Board of the Institute of the Information Society.
Alexander Raikov is doctor of technical sciences, full state advisor of the Russian Federation of the 3rd class, laureate of the RF Government Prize in the field of science and technology. He is also a leading researcher at the V.A. Trapeznikov Institute of Control Sciences of the Russian Academy of Sciences and a professor at MIREA – Russian Technological University.
“The book addresses the issue of cognitive semantics’ aspects that cannot be represented by traditional digital and logical means. The problem of creating cognitive semantics can be resolved in an indirect way. The electromagnetic waves, quantum fields, beam of light, chaos control, relativistic theory, cosmic string recognition, category theory, group theory, and so on can be used for this aim. Since the term artificial intelligence (AI) appeared, various versions of logic have been created; many heuristics for neural networks deep learning have been made; new nature-like algorithms have been suggested. At the same time, the initial digital, logical, and neural network principles of representation of knowledge in AI systems have not changed a lot. The researches of these aspects of cognitive semantics of AI are based on the author’s convergent methodology, which provides the necessary conditions for purposeful and sustainable convergence of decision-making, “- follows from the description of the monograph by Alexander Raikov.
Source: NCDE MSU, photo: Analytical Center for the Government of the Russian Federation.