Frontiers | Living Things Are Not (20th Century) Machines: Updating Mechanism Metaphors in Light of the Modern Science of Machine Behavior
One of the most useful metaphors for driving scientific and engineering progress has been that of the “machine.” Much controversy exists about the applicability of this concept in the life sciences. Advances in molecular biology have revealed numerous design principles that can be harnessed to understand cells from an engineering perspective, and build novel devices to rationally exploit the laws of chemistry, physics, and computation. At the same time, organicists point to the many unique features of life, especially at larger scales of organization, which have resisted decomposition analysis and artificial implementation. Here, we argue that much of this debate has focused on inessential aspects of machines – classical properties which have been surpassed by advances in modern Machine Behavior and no longer apply. This emerging multidisciplinary field, at the interface of artificial life, machine learning, and synthetic bioengineering, is highlighting the inadequacy of existing defin
;import{g as i,s as o,r as s,e as a,a as u,h as l,b as c,i as h,t as f,c as d,d as p,f as m,j as g,k as y,l as b,K as v,_ as w,S as E,m as _,o as C,w as M,n as S,p as O,q as B,u as D,v as I,x as T,y as x,z as R,A as N,U as k,H as F,B as L,C as P,Y as U,D as j,E as q,F as z,G as $,I as V,J as H,L as W,M as G,N as K,O as Z,P as Y,Q as J,R as X,T as Q,V as AA,W as eA,X as tA,Z as rA,$ as nA,a0 as iA,a1 as oA,a2 as sA,a3 as aA,a4 as uA,a5 as lA,a6 as cA,a7 as hA,a8 as fA,a9 as dA,aa as pA,ab as mA,ac as gA,ad as yA,ae as bA,af as vA,ag as wA,ah as EA,ai as _A,aj as CA,ak as MA,al as SA,am as OA,an
Explore this link on the map →related reading
- Frontiers | Living Things Are Not (20th Century) Machines: Updating Mechanism Metaphors in Light of the Modern Science of Machine Behaviorfrontiersin.org
- Living Things Are Not Machines (Also, They Totally Are)noemamag.com
- Frontiers | Principles and Practice of Explainable Machine Learningfrontiersin.org
- Frontiers | The Past, Present, and Future of Artificial Lifefrontiersin.org
- E.W. Dijkstra Archive: On anthropomorphism in science (EWD936)cs.utexas.edu
- Frontiers | Breastfeeding experiences and women's self-concept: Negotiations and dilemmas in the transition to motherhoodfrontiersin.org
- Frontiers | Organic Molecules in Interstellar Space: Latest Advancesfrontiersin.org
- Frontiers | On the Cost of Knowledge: Evaluating the Boycott against Elsevierfrontiersin.org
- Frontiers | Simulating Emotions: An Active Inference Model of Emotional State Inference and Emotion Concept Learningfrontiersin.org
- Frontiers | Technological Approach to Mind Everywhere: An Experimentally-Grounded Framework for Understanding Diverse Bodies and Mindsfrontiersin.org
- Frontiers | A Bayesian model for chronic painfrontiersin.org
- This is (not) a machinehyperparameter.space