One may hardly point to any industry that is not already seeking to adopt the advancements in computational intelligenc e: from advertising to autonomous vehicles, from medical diagnosis to stock trading, from video games to missile defense and cyber-security, all strive to exploit AI techniques in the very near future. These results demonstrate how a fish was able to transfer its space representation and navigation skills to a wholly different terrestrial environment, thus supporting the hypothesis that the former possess a universal quality that is species-independent.ĪI is rapidly emerging as an inevitable component of developing technologies. The fish were tasked to “drive” the FOV towards a visual target in the terrestrial environment, which was observable through the walls of the tank, and indeed were able to operate the vehicle, explore the new environment, and reach the target regardless of the starting point, all while avoiding dead-ends and correcting location inaccuracies. For this purpose, we trained goldfish to use a Fish Operated Vehicle (FOV), a wheeled terrestrial platform that reacts to the fish’s movement characteristics, location and orientation in its water tank to change the vehicle’s i.e., the water tank’s, position in the arena. Here we push this idea to the limit by studying the navigation ability of a fish in a terrestrial environment. One way to explore this issue behaviorally is by domain transfer methodology, where one species is embedded in another species’ environment and must cope with an otherwise familiar (in our case, navigation) task. Given their fundamental role and universal function in the animal kingdom, it makes sense to explore whether space representation and navigation mechanisms are dependent on the species, ecological system, brain structures, or whether they share general and universal properties. Navigation is a critical ability for animal survival and is important for food foraging, finding shelter, seeking mates and a variety of other behaviors. The proposed algorithms are expected to be applicable when the effects of special relativity and general relativity are important. In particular, the learning algorithm learns a discrete field theory from a set of data of planetary orbits similar to what Kepler inherited from Tycho Brahe in 1601, and the serving algorithm correctly predicts other planetary orbits, including parabolic and hyperbolic escaping orbits, of the solar system without learning or knowing Newton’s laws of motion and universal gravitation. The effectiveness of the method and algorithms developed is demonstrated using the examples of nonlinear oscillations and the Kepler problem. The serving algorithm of discrete field theories belongs to the family of structure-preserving geometric algorithms, which have been proven to be superior to the conventional algorithms based on discretization of differential equations. The approach of learning discrete field theories overcomes the difficulties associated with learning continuous theories by artificial intelligence. The learning algorithm trains a discrete field theory from a set of observational data on a spacetime lattice, and the serving algorithm uses the learned discrete field theory to predict new observations of the field for new boundary and initial conditions. We propose a theoretical model of interactive factors giving rise to RS, and conclude that it is an important, uninvestigated emerging phenomenon and propose future research directions.Ī method for machine learning and serving of discrete field theories in physics is developed. We describe the phenomenology of RS as reported online and then compare it to related phenomena such as hypnosis, tulpamancy, dissociation, immersive and maladaptive daydreaming, and lucid dreaming. One of the most popular alternate universes involves environments adopted from the Harry Potter book and film series. Some practitioners report a strong sense of presence in their desired realities, reified by some who believe in the concrete reality of the alternate world they shift to. The experience of shifting is reportedly facilitated by specific induction methods involving relaxation, concentration of attention, and autosuggestion. One RS forum boasts over 40,000 members and RS clips on some social media platforms have been viewed over 1.7 billion times. RS, described as the experience of being able to transcend one’s physical confines and visit alternate, mostly fictional, universes, is discussed by many on Internet platforms. Reality shifting (RS) is a trendy mental activity that emerged abruptly following the flare-up of the COVID-19 pandemic in 2020 and seems to be practiced mainly by members of the post-millennial generation.
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