Defining and finding lifelike entities with a lazy filter

Abstract

Our binary intuitive understanding of life and lifelikeness is good enough for daily life, but not for research in the natural sciences. Here we propose an operational definition of lifeness of a particular entity as a scalar, product of its defining information (algorithmic complexity) integrated over its lifetime. We provide a parameter-free dynamical filtering algorithm that can efficiently and on-the-fly fit configurations of entities constituted by moving particles to a tree structure that can model a wide range of hierarchical system entities, while extracting and calculating the complexity, lifespan, and lifeness of the entity and all of its constituting subtrees or subentities. We simulated 41 interacting particle worlds and found preliminary evidence suggesting that the lifeness of entities is associated with the distance to criticality, as roughly measured by the range of the pairwise interaction forces of the elemental particles of the worlds they inhabit. This study is a proof of concept that defining, measuring, and quantifying lifeness is (1) feasible, useful for (2) simplifying theoretical discussions, for (3) hierarchically assessing biotic properties such as number of hierarchical levels and predicted longevity and for (4) classifying both artificial and biological entities, respectively via computer simulations and a combination of evolutionary and molecular biology approaches.

References in corpus (15)

• Spontaneous motion in hierarchically assembled active matter
• Emergent complex neural dynamics
• Hierarchical group dynamics in pigeon flocks
• Non-reciprocal phase transitions
• Universal power law governing pedestrian interactions
• Active matter
• Nonreciprocity as a generic route to traveling states
• An introduction to the Ginzburg-Landau theory of phase transitions and nonequilibrium patterns
• Large-scales patterns in a minimal cognitive flocking model: incidental leaders, nematic patterns, and aggregates
• Stochastic Dynamical Structure (SDS) of Nonequilibrium Processes in the Absence of Detailed Balance. IV: Emerging of Stochastic Dynamical Equalities and Steady State Thermodynamics from Darwinian Dynamics
• Irreversibility, heat and information flows induced by non-reciprocal interactions
• Phase diagram of Hertzian spheres
• Intermittent Inverse-Square Lévy Walks are Optimal for Finding Targets of All Sizes
• Physical implications of a fundamental period of time
• Statistical complexity is maximized close to criticality in cortical dynamics