000			03087nam a2200373Ia 4500
000			03650nam a22003975i 4500
001			978-3-031-30368-5
003			DE-He213
005			20240319121105.0
007			cr nn 008mamaa
008			230511s2023 sz | s |||| 0|eng d
020			_a9783031303685 _9978-3-031-30368-5
082			_a6.3
100			_aDietrich, Dietmar. _937728
245			_aArtificial Intelligence: A Bridge Between Psychoanalysis and Neurology _cby Dietmar Dietrich. _h[electronic resource] :
250			_a1st ed. 2023.
260			_aCham _bSpringer Nature Switzerland _c2023
300			_aXIII, 58 p. 10 illus., 2 illus. in color. _bonline resource.
520			_aTo be able to merge the psyche with the neural system has been a long-sought goal. There is much scientific literature on results from research on this topic, but the goal of this "booklet" is to present the subject in a nutshell and to attract a wider audience to this highly complex topic. Scientists often need years to grasp the scope and implications of merging the psyche with the neural system. Does that really have to be the case? What does the simulated model look like? What are the underlying philosophies? Can it be understood without mathematical formalism? Uniting the psyche and neurology in one model, on the one hand, allows psychological and social theories to be tested on a scientific basis using simulation experiments. On the other hand, a model developed according to the functional structures of the human brain, let us call it the Psi-Organ, which comprises neurology and psyche as one unit, can serve as a basis for AI systems. These can be systems with cognitive capabilities that save human lives, save energy, ensure safety at airports, provide support in caring for the elderly and much more. In other words, systems that can simplify our lives in the most relevant ways and on a broad basis. This model, the Psi-Organ, goes far beyond today's primarily behavior-based AI methods. The manuscript can serve as an excellent introduction to the problem of understanding and modelling the human mind, and to the problem of achieving artificial "intelligence" in general, increasing awareness and understanding for the associated challenges. In that regard, it is a valuable supplementary text for advanced students or researchers in the field, notably not only in AI, but also (and perhaps primarily) in the medical fields.
650			_aApplication software. _937729
650			_aArtificial intelligence. _937730
650			_aArtificial Intelligence. _937731
650			_aBehavioral Sciences and Psychology. _937732
650			_aComputer and Information Systems Applications. _937733
650			_aData structures (Computer science). _937734
650			_aData Structures and Information Theory. _937735
650			_aInformation theory. _937736
650			_aNeurology . _937737
650			_aNeurology. _937737
650			_aPsychology. _937738
650			_aSymbolic AI. _937739
856			_uhttps://doi.org/10.1007/978-3-031-30368-5
942			_cEBK _2ddc
999			_c15736 _d15736