Classical Sorting Algorithms as a Model of Morphogenesis: self-sorting arrays reveal unexpected competencies in a minimal model of basal intelligence

Опубликована: Дек. 17, 2023

The Diverse Intelligence research seeks to understand commonalities in behavioral competencies across a wide range of implementations. Especially interesting are simple systems that provide unexpected examples memory, decision-making, or problem-solving substrates at first glance do not appear be complex enough implement such capabilities. We seek develop tools determine minimal requirements for capabilities, and learn recognize predict basal forms intelligence unconventional substrates. Here, we apply novel analyses the behavior classical sorting algorithms - short pieces code studied many decades. To study these as model biological morphogenesis its competencies, break two formerly-ubiquitous assumptions: top-down control (instead, each element within an array numbers can exert agency policies from bottom up), fully reliable hardware allowing elements “damaged” fail execute algorithm). quantitatively characterize activity traversal problem space, showing arrays autonomous sort themselves more reliably robustly than traditional implementations presence errors. Moreover, find ability temporarily reduce progress order navigate around defect, clustering among chimeric consisting different algorithms. discovery emergent capacities simple, familiar contributes new perspective how emerge without being explicitly encoded their underlying mechanics.

Язык: Английский

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An evaluation of the xenobotic cognitive project: Towards Stage 1 of xenobotic cognition

Endeavour, Год журнала: 2024, Номер 48(2), С. 100927 - 100927

Опубликована: Апрель 27, 2024

Язык: Английский

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Revealing non-trivial information structures in aneural biological tissues via functional connectivity

bioRxiv (Cold Spring Harbor Laboratory), Год журнала: 2024, Номер unknown

Опубликована: Май 14, 2024

Abstract A central challenge in the progression of a variety open questions biology, such as morphogenesis, wound healing, and development, is learning from empirical data how information integrated to support tissue-level function behavior. Information-theoretic approaches provide quantitative framework for extracting patterns data, but so far have been predominantly applied neuronal systems at tissue-level. Here, we demonstrate time series Ca 2+ dynamics can be used identify structure other biological tissues. To this end, expressed calcium reporter GCaMP6s an organoid system explanted amphibian epidermis derived African clawed frog Xenopus laevis , imaged activity pre- post- puncture injury, six replicate organoids. We constructed functional connectivity networks by computing mutual between cells using medical imaging techniques track intracellular . analyzed network properties including degree distribution, spatial embedding, modular structure. find exhibit more than null models, with high hubs mesoscale community clustering. Utilizing networks, show tissue retains non-random features after displays long range correlations structure, non-trivial clustering that not necessarily spatially dependent. Our results suggest increased integration possible cellular coordination response some type generative anatomy. While study epidermal cells, our computational approach analyses highlight methods developed analyze tissues generalized any fluorescent signal type. therefore provides bridge neuroscience basal modes processing. Author summary understanding several diverse processes Significant progress has occurred via use observable live reporters throughout neural However, these same seen limited non-neural multicellular organisms despite similarities communication. Here utilize designed modify them work on type, demonstrating also contain potentially meaningful structures gleaned theoretic approaches. In case developing amphibians, informational over greater temporal scales those found tissue. This hints exploration into within types could deeper processing living beyond nervous system.

Язык: Английский

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The biophysics of balanced living: a mechano-homeostasis paradigm for balancing in animals and robots

Опубликована: Дек. 14, 2024

From birth until death animals resist gravity, effortfully asserting bodily form, animate behaviour, and postural balance. Most basic negentropic behaviours are understood as homeostasis (e.g. thermoregulation), but balance is taken to be an exception. Many studies have elucidated its sub-mechanisms, the existence of goal-oriented homeostatic organisation remains open question. The current theoretical paper reviews existing work highlight challenge assumptions that belie a model, arguing organised one aspect wider mechano-homeostasis, by control loop organisationally akin thermoregulation. biophysical cost maintaining agent-medium density gradient defines task, which regulation mechanical force. Organism-level mechano-homeostasis must approximately maintain certain force field at surface organism (i.e. precisely cancels gravitational acceleration), or will fall, dissipate die. argument specifies this fluid, dynamical ‘balance’ for arbitrary morphologies configurations, describes how apprehend it developmentally their own embodiment. I motivate define examine against evidence, discuss implications, limitations scope understanding embodied spatiotemporal animacy in robots.

Язык: Английский

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Difference between AI and Biological Intelligence Observed through Lenses of Emergent Information Processing

IntechOpen eBooks, Год журнала: 2024, Номер unknown

Опубликована: Дек. 17, 2024

Man-made systems, including artificial intelligence (AI) and machine learning (ML) methods, are usually constructed using mechanistic approaches, which inevitably fail with a failure of any their single constituting components. Contrary to them, biological systems typically self-organizing emergent operating far-from-equilibrium capable self-repair. The outputs research from experimental biology, behavior insect swarms, morphological growth, limb regrowth, other areas confirming the above statement. This leads us central question this chapter: “Can be achieved without presence neurons brain structures?” That is why on information processing (EPI) reviewed deepened in contribution. What elements Life? According theoretical research, it hypothesized that, certain level abstraction, Life created by set microprocesses running matrix, cease exist along matrix processes governing it. Let see where takes open-source Python cellular automata simulating software GoL-N24 v1.4.

Язык: Английский

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