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Carl Jung discovered that providing compensational feedback to assist patients understand the symbolic meaning in their dream images can lead to insight as to the causes of subconscious problems. According to Jung, dream images are “archetypal projections” of subconscious “functional” (thinking, feeling, sensing, intuiting) energy and information patterns. Because such projections display dramatic patterns that are essentially recursive, unconscious meaning can be accessed because it is reflected in the projected symbolic images. Archetypal projections are much like pixel projections in which meaning resides both in the images projected and in the computer programs that pattern the pixels. Jung’s clinical observations demonstrated that gradual insight as to the symbolic meaning in a series of dream content images has the capacity to “compensate” for cognitive dissonance; i.e. the compensational process leads to cognitive energy patterns that have harmonious frequency. This is possible due to the dramatic-semantic structure of energy patterns in both conscious and unconscious cognitive dimensions. This compensational, “amplification method” depends upon a psychiatrist’s empathetic feedback which consists of metaphorical amplification relative to symbolic meaning embedded in dream images. Therefore, the amplification method constitutes a biofeedback language that can be simulated with ICTs.
A new era for research on quantum cognitive processes supports Jungian empirical observations relative to the nature of Archetypes of the Unconscious. Essentially, unconscious archetypes are quantum energy patterns that seem directly correlated with ICTs. Like archetypes, ICTs are energy configurations that are projected as recursive dreamlike images which share the fundamental patterns of narrative and metaphor. Dr. George Lakoff has already addressed the subject of creating a computational model of narrative (Lakoff & Narayanan, 2010), and the recent discovery of quantum vibrations in neural “microtubules” (Hameroff & Penrose, 2014) tends to validate the measurability of connections among quantum, neural, and functional scales. Related ongoing research can be listed ad infinitum under the headings of virtual realities, neural networks, computational anthropology, cloud computing, data mining, and machine intelligence. The MIT Technology Review recently reported that researchers strive to create the “source code” for studying culture as a formal computational concept. (Aiello, Schfanella, & State, 2014). Advances in brain-scanning technologies makes study of neural processes possible (Trafton, Anne, 2014), and rapidly evolving methodologies such as Particle based simulations (physX flex) (2014) and “superconducting spintronics” pave the way for next-generation computing. (Kirk, Tom, 2014).
Such technological advances have spawned an array of research in AI, simulation, and robotics that, from the historical standpoint, are absolutely surreal. A constant stream of research papers is being reported relative to such subjects as, The curious evolution of artificial life, (2014); On the origin of robot species: robots building robots by “natural selection” (Saffell, Nick, 2015); and A robot just passed the self-awareness test (Geere, Duncan, 2015). Virtual reality applications extend in every direction ranging from military training to video game play: Creating massive virtual worlds for [military] training. (2015); Playing games might help AI advance (Knight, Will, 2015); and Immersive media: to the holodeck and beyond (Boyd, Frank, 2015).