Here are some other names or concepts that “game of life type stuff dependent on scale” could potentially refer to: – Agent-based modeling – Computer simulations of systems modeled as collections of interacting autonomous agents. Allows emergent phenomena to be studied at varying scales. – Complex adaptive systems – Real-world systems that exhibit emergent behaviors from numerous dynamic interactions among adaptive components. Can be modeled at different levels of organization. – Multi-scale modeling – Modeling techniques that account for phenomena occurring at multiple spatial, temporal or organizational scales within a system. Allows emergent effects across scales. – Cellular automata – Like Conway’s Game of Life, but broader class of discrete models featuring cells on a grid that evolve according to predefined local rules. Behavior depends strongly on scope/scale studied. – Fractals/Self-similar patterns – Geometric shapes that exhibit the same or similar patterns at increasingly small or large scales. Analogous emergent behaviors across scales. – Self-organized criticality – Tendency of some dynamical systems to evolve toward a critical point marked by fractal fluctuations. Emergence depends heavily on observational scale. – Complex systems dynamics – Field studying systems with many heterogeneous, interacting components that adapt and produce novel, unpredictable phenomena across spatiotemporal scales. So in summary, any modeling approach that looks at emergent behaviors arising from extensive dynamic local interactions operating across multiple levels of organization or temporal/spatial grain.

Here are some other names or concepts that “game of life type stuff dependent on scale” could potentially refer to:

– Agent-based modeling – Computer simulations of systems modeled as collections of interacting autonomous agents. Allows emergent phenomena to be studied at varying scales.

– Complex adaptive systems – Real-world systems that exhibit emergent behaviors from numerous dynamic interactions among adaptive components. Can be modeled at different levels of organization.

– Multi-scale modeling – Modeling techniques that account for phenomena occurring at multiple spatial, temporal or organizational scales within a system. Allows emergent effects across scales.

– Cellular automata – Like Conway’s Game of Life, but broader class of discrete models featuring cells on a grid that evolve according to predefined local rules. Behavior depends strongly on scope/scale studied.

– Fractals/Self-similar patterns – Geometric shapes that exhibit the same or similar patterns at increasingly small or large scales. Analogous emergent behaviors across scales.

– Self-organized criticality – Tendency of some dynamical systems to evolve toward a critical point marked by fractal fluctuations. Emergence depends heavily on observational scale.

– Complex systems dynamics – Field studying systems with many heterogeneous, interacting components that adapt and produce novel, unpredictable phenomena across spatiotemporal scales.

So in summary, any modeling approach that looks at emergent behaviors arising from extensive dynamic local interactions operating across multiple levels of organization or temporal/spatial grain.

[responsivevoice_button voice="US English Male"]

Leave a comment

Your email address will not be published. Required fields are marked *


eight × 1 =

Leave a Reply