29 April 2019 32 3K Report

The incredible thing about Physarum polycephalum is that whilst being completely devoid of any nervous system whatsoever (not possessing a single neuron) it exhibits intelligent behaviours. Does its ability to intelligently solve problems suggest it must also be conscious? If you think, yes, then please describe if-and-how its consciousness may differ {physically or qualitatively ... rather than quantitatively} from the consciousness of brained organisms (e.g., humans)? Does this intelligent behaviour (sans neurons) suggest that consciousness may be a universal fundamental related more to the physical transfer or flow of information rather than being (as supposed by most psychological researchers) an emergent property of processes in brain matter?

General background information:

"Physarum polycephalum has been shown to exhibit characteristics similar to those seen in single-celled creatures and eusocial insects. For example, a team of Japanese and Hungarian researchers have shown P. polycephalum can solve the Shortest path problem. When grown in a maze with oatmeal at two spots, P. polycephalum retracts from everywhere in the maze, except the shortest route connecting the two food sources.[3] When presented with more than two food sources, P. polycephalum apparently solves a more complicated transportation problem. With more than two sources, the amoeba also produces efficient networks.[4] In a 2010 paper, oatflakes were dispersed to represent Tokyo and 36 surrounding towns.[5][6] P. polycephalum created a network similar to the existing train system, and "with comparable efficiency, fault tolerance, and cost". Similar results have been shown based on road networks in the United Kingdom[7] and the Iberian peninsula (i.e., Spain and Portugal).[8] Some researchers claim that P. polycephalum is even able to solve the NP-hard Steiner minimum treeproblem.[9]

P. polycephalum can not only solve these computational problems, but also exhibits some form of memory. By repeatedly making the test environment of a specimen of P. polycephalum cold and dry for 60-minute intervals, Hokkaido University biophysicists discovered that the slime mould appears to anticipate the pattern by reacting to the conditions when they did not repeat the conditions for the next interval. Upon repeating the conditions, it would react to expect the 60-minute intervals, as well as testing with 30- and 90-minute intervals.[10][11]

P. polycephalum has also been shown to dynamically re-allocate to apparently maintain constant levels of different nutrients simultaneously.[12][13] In particular, specimen placed at the center of a Petri dish spatially re-allocated over combinations of food sources that each had different protein–carbohydrate ratios. After 60 hours, the slime mould area over each food source was measured. For each specimen, the results were consistent with the hypothesis that the amoeba would balance total protein and carbohydrate intake to reach particular levels that were invariant to the actual ratios presented to the slime mould.

As the slime mould does not have any nervous system that could explain these intelligent behaviours, there has been considerable interdisciplinary interest in understanding the rules that govern its behaviour [emphasis added]. Scientists are trying to model the slime mold using a number of simple, distributed rules. For example, P. polycephalum has been modeled as a set of differential equations inspired by electrical networks. This model can be shown to be able to compute shortest paths.[14] A very similar model can be shown to solve the Steiner tree problem.[9]"

source of quotation: https://en.wikipedia.org/wiki/Physarum_polycephalum

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