Boundedness and Self-Organized Semantics: on the Best Survvival Strategy in an Ever-Changing Environment
Maria K. Koleva

TL;DR
This paper proposes a general criterion for optimal survival strategies in complex systems interacting with dynamic environments, emphasizing the importance of boundedness and hierarchical semantic responses.
Contribution
It introduces a novel criterion based on boundedness that explains the emergence of hierarchical semantic structures for optimal survival in changing environments.
Findings
Boundedness is key to optimal interaction with changing environments.
Hierarchical super-structuring of responses enhances survival.
The criterion applies broadly to complex adaptive systems.
Abstract
General criterion for best efficiency of the interaction of a complex system with an ever-changing environment is derived. Its exclusive property, set by boundedness, is that the highly non-trivial interplay between parameters that participate in it renders the best survival strategy to go via non-extensive hierarchical super-structuring of the semantic-like response.
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Taxonomy
TopicsNeural Networks and Applications
