2014
DOI: 10.1016/j.eswa.2014.03.002
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Physarum Learner: A bio-inspired way of learning structure from data

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Cited by 11 publications
(5 citation statements)
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References 49 publications
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“…This is at the same time a process related to a naturalistic statistical approach to data processing, also called 'natural statistics' [175] and that could provide a Bayesian approach to consciousness [176] which fits perfectly with Kolmogorov algorithmic information theory [177], which provides a solid way to deal with the quantity of information in a system, and at the end, and in some fundamental way, living systems can be considered information processing entities for reproduction purposes. It is also interesting to note that Bayesian models fit well with slime mould information processing [178,179].…”
Section: Proto-consciousness and Morgan's Canonmentioning
confidence: 99%
“…This is at the same time a process related to a naturalistic statistical approach to data processing, also called 'natural statistics' [175] and that could provide a Bayesian approach to consciousness [176] which fits perfectly with Kolmogorov algorithmic information theory [177], which provides a solid way to deal with the quantity of information in a system, and at the end, and in some fundamental way, living systems can be considered information processing entities for reproduction purposes. It is also interesting to note that Bayesian models fit well with slime mould information processing [178,179].…”
Section: Proto-consciousness and Morgan's Canonmentioning
confidence: 99%
“…It is necessary to provide water and food to the disaster-affected people in case of a nuclear or chemical disaster. 14…”
Section: • Network Topology Changesmentioning
confidence: 99%
“…The BS then transmits the data through the satellite to the hospital, mobile ambulance, rescue team, and so on. It is necessary to provide water and food to the disaster‐affected people in case of a nuclear or chemical disaster 14 …”
Section: Introductionmentioning
confidence: 99%
“…12. Physarum-inspired algorithm for learning Bayesian network structure from data is designed in [107]. 13.…”
Section: Modelling Creativitymentioning
confidence: 99%