Self-Organisation of Prediction Models
Living organisms are active open systems far from thermodynamic equilibrium. The ability to behave actively corresponds to dynamical metastability: minor but supercritical internal or external effects may trigger major substantial actions such as gross mechanical motion, dissipating internally accum...
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| Format: | Article |
| Language: | English |
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MDPI AG
2023-11-01
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| Series: | Entropy |
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| Online Access: | https://www.mdpi.com/1099-4300/25/12/1596 |
| _version_ | 1797381180962635776 |
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| author | Rainer Feistel |
| author_facet | Rainer Feistel |
| author_sort | Rainer Feistel |
| collection | DOAJ |
| description | Living organisms are active open systems far from thermodynamic equilibrium. The ability to behave actively corresponds to dynamical metastability: minor but supercritical internal or external effects may trigger major substantial actions such as gross mechanical motion, dissipating internally accumulated energy reserves. Gaining a selective advantage from the beneficial use of activity requires a consistent combination of sensual perception, memorised experience, statistical or causal prediction models, and the resulting favourable decisions on actions. This information processing chain originated from mere physical interaction processes prior to life, here denoted as structural information exchange. From there, the self-organised transition to symbolic information processing marks the beginning of life, evolving through the novel purposivity of trial-and-error feedback and the accumulation of symbolic information. The emergence of symbols and prediction models can be described as a ritualisation transition, a symmetry-breaking kinetic phase transition of the second kind previously known from behavioural biology. The related new symmetry is the neutrally stable arbitrariness, conventionality, or code invariance of symbols with respect to their meaning. The meaning of such symbols is given by the structural effect they ultimately unleash, directly or indirectly, by deciding on which actions to take. The early genetic code represents the first symbols. The genetically inherited symbolic information is the first prediction model for activities sufficient for survival under the condition of environmental continuity, sometimes understood as the “final causality” property of the model. |
| first_indexed | 2024-03-08T20:47:39Z |
| format | Article |
| id | doaj.art-4664d731b43140f6b14cb61e4d0d9ea8 |
| institution | Directory Open Access Journal |
| issn | 1099-4300 |
| language | English |
| last_indexed | 2024-03-08T20:47:39Z |
| publishDate | 2023-11-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Entropy |
| spelling | doaj.art-4664d731b43140f6b14cb61e4d0d9ea82023-12-22T14:07:18ZengMDPI AGEntropy1099-43002023-11-012512159610.3390/e25121596Self-Organisation of Prediction ModelsRainer Feistel0Leibniz Institute for Baltic Sea Research (IOW), 18119 Rostock, GermanyLiving organisms are active open systems far from thermodynamic equilibrium. The ability to behave actively corresponds to dynamical metastability: minor but supercritical internal or external effects may trigger major substantial actions such as gross mechanical motion, dissipating internally accumulated energy reserves. Gaining a selective advantage from the beneficial use of activity requires a consistent combination of sensual perception, memorised experience, statistical or causal prediction models, and the resulting favourable decisions on actions. This information processing chain originated from mere physical interaction processes prior to life, here denoted as structural information exchange. From there, the self-organised transition to symbolic information processing marks the beginning of life, evolving through the novel purposivity of trial-and-error feedback and the accumulation of symbolic information. The emergence of symbols and prediction models can be described as a ritualisation transition, a symmetry-breaking kinetic phase transition of the second kind previously known from behavioural biology. The related new symmetry is the neutrally stable arbitrariness, conventionality, or code invariance of symbols with respect to their meaning. The meaning of such symbols is given by the structural effect they ultimately unleash, directly or indirectly, by deciding on which actions to take. The early genetic code represents the first symbols. The genetically inherited symbolic information is the first prediction model for activities sufficient for survival under the condition of environmental continuity, sometimes understood as the “final causality” property of the model.https://www.mdpi.com/1099-4300/25/12/1596symbolsmodelsinformationpredictiondecisionscausality |
| spellingShingle | Rainer Feistel Self-Organisation of Prediction Models Entropy symbols models information prediction decisions causality |
| title | Self-Organisation of Prediction Models |
| title_full | Self-Organisation of Prediction Models |
| title_fullStr | Self-Organisation of Prediction Models |
| title_full_unstemmed | Self-Organisation of Prediction Models |
| title_short | Self-Organisation of Prediction Models |
| title_sort | self organisation of prediction models |
| topic | symbols models information prediction decisions causality |
| url | https://www.mdpi.com/1099-4300/25/12/1596 |
| work_keys_str_mv | AT rainerfeistel selforganisationofpredictionmodels |