Искусственный интеллект и (пост)структурная семантика
There are two problem areas associated with modern studies of philosophy of mind focusing on identification and convergence of human and machine intelligence. One problem is machine simulation of meaning and the other – machine simulation of sense. Today it is a widely accepted opinion that the concept of the so-called “strong AI”, where the presence of consciousness is regarded as an indicator of an implemented program, has little chances to be proven. This tactic would have a greater effect if a non-classical (structural and post-structural) theory of sign, meaning, sense and language in general could also be engaged. The point is that if we consider irreducibility of semantic augment to the configuration of the semantic increment values and the difficulty of sense formalization in general, then we could show the consistent nature of failed attempts to create computer models capable of processing information in attempt to simulate functions of human psyche and explain along those lines the causes and mechanisms of such failures. In the present study the analysis of the stated problems is carried out based on the concepts of structural and post-structural linguistics almost entirely ignored by philosophy of mind.