Information in the Biosphere: Biological and Digital Worlds.

Evolution has transformed life through key innovations in information storage and replication, including RNA, DNA, multicellularity, and culture and language. We argue that the carbon-based biosphere has generated a cognitive system (humans) capable of creating technology that will result in a comparable evolutionary transition. Digital information has reached a similar magnitude to information in the biosphere. It increases exponentially, exhibits high-fidelity replication, evolves through differential fitness, is expressed through artificial intelligence (AI), and has facility for virtually limitless recombination. Like previous evolutionary transitions, the potential symbiosis between biological and digital information will reach a critical point where these codes could compete via natural selection. Alternatively, this fusion could create a higher-level superorganism employing a low-conflict division of labor in performing informational tasks.

[1]  D. Queller Cooperators Since Life Began , 1997, The Quarterly Review of Biology.

[2]  M. Westoby,et al.  DNA technology and evolution of the Central Dogma. , 2014, Trends in ecology & evolution.

[3]  Samuel J. Gershman,et al.  Computational rationality: A converging paradigm for intelligence in brains, minds, and machines , 2015, Science.

[4]  Roland Siegwart,et al.  Introduction to Autonomous Mobile Robots , 2004 .

[5]  John Maynard Smith,et al.  The major evolutionary transitions , 1995, Nature.

[6]  W. H. Zurek Complexity, Entropy and the Physics of Information , 1990 .

[7]  B. Yegnanarayana,et al.  Artificial Neural Networks , 2004 .

[8]  Peter Norvig,et al.  Artificial Intelligence: A Modern Approach , 1995 .

[9]  Miguel A. L. Nicolelis,et al.  Brain–machine interfaces: past, present and future , 2006, Trends in Neurosciences.

[10]  Fabrizio Bonani,et al.  Dynamic computing random access memory , 2013, Nanotechnology.

[11]  Shane Legg,et al.  Human-level control through deep reinforcement learning , 2015, Nature.

[12]  Nick Chater,et al.  Using big data to predict collective behavior in the real world 1 , 2014, Behavioral and Brain Sciences.

[13]  David Lazer,et al.  Measuring Price Discrimination and Steering on E-commerce Web Sites , 2014, Internet Measurement Conference.

[14]  Simon J. Greenhill,et al.  Languages Evolve in Punctuational Bursts , 2008, Science.

[15]  M. Gillings HOW EVOLUTION GENERATES COMPLEXITY WITHOUT DESIGN: LANGUAGE AS AN INSTRUCTIONAL METAPHOR , 2012, Evolution; international journal of organic evolution.

[16]  Hans P. Moravec When will computer hardware match the human brain , 1998 .

[17]  Rolf Landauer,et al.  Information is Physical , 1991, Workshop on Physics and Computation.

[18]  R. Fani,et al.  Draft Genome Sequence of the Fast-Growing Bacterium Vibrio natriegens Strain DSMZ 759 , 2013, Genome Announcements.

[19]  Tara N. Sainath,et al.  Deep Neural Networks for Acoustic Modeling in Speech Recognition: The Shared Views of Four Research Groups , 2012, IEEE Signal Processing Magazine.

[20]  V. Vinge,et al.  Signs of the singularity , 2008, IEEE Spectrum.

[21]  Claudius Gros,et al.  Neuropsychological constraints to human data production on a global scale , 2011, ArXiv.

[22]  Richard Dawkins,et al.  What Is Your Dangerous Idea? : Today's Leading Thinkers on the Unthinkable , 2007 .

[23]  François Pachet,et al.  Hit Song Science Is Not Yet a Science , 2008, ISMIR.

[24]  D. Kahneman Thinking, Fast and Slow , 2011 .

[25]  Satoshi Matsuoka,et al.  Extreme Big Data (EBD): Next Generation Big Data Infrastructure Technologies Towards Yottabyte/Year , 2014, Supercomput. Front. Innov..

[26]  Béla Nagy,et al.  Superexponential long-term trends in information technology , 2011 .

[27]  Marlin H. Mickle,et al.  The impact of the internet of Things on implanted medical devices including pacemakers, and ICDs , 2013, International Instrumentation and Measurement Technology Conference.

[28]  Michael I. Jordan,et al.  Machine learning: Trends, perspectives, and prospects , 2015, Science.

[29]  A. B. Boyd,et al.  Identifying functional thermodynamics in autonomous Maxwellian ratchets , 2015, 1507.01537.

[30]  P. Richerson,et al.  Culture and the Evolutionary Process , 1988 .

[31]  Eric Gossett,et al.  Big Data: A Revolution That Will Transform How We Live, Work, and Think , 2015 .

[32]  Tyler J. VanderWeele,et al.  Marital satisfaction and break-ups differ across on-line and off-line meeting venues , 2013, Proceedings of the National Academy of Sciences.

[33]  R. Kurzweil,et al.  The Singularity Is Near: When Humans Transcend Biology , 2006 .

[34]  N. Jeffery,et al.  A guided tour of large genome size in animals: what we know and where we are heading , 2011, Chromosome Research.

[35]  David H. Wolpert,et al.  Minimal work required for arbitrary computation , 2015 .

[36]  Robert Stock,et al.  Human, Non-Human, and Beyond: Cochlear Implants in Socio-Technological Environments , 2015 .

[37]  Luís M. A. Bettencourt,et al.  Invention as a combinatorial process: evidence from US patents , 2014, Journal of The Royal Society Interface.

[38]  Michael Marien,et al.  Book Review: The Second Machine Age: Work, Progress, and Prosperity in a Time of Brilliant Technologies , 2014 .

[39]  Christopher Kuner,et al.  The Challenge of "Big Data" for Data Protection , 2012 .

[40]  Thomas H Segall-Shapiro,et al.  Creation of a Bacterial Cell Controlled by a Chemically Synthesized Genome , 2010, Science.

[41]  S. Boccaletti,et al.  Complex network theory and the brain , 2014, Philosophical Transactions of the Royal Society B: Biological Sciences.

[42]  Vittorio Loreto,et al.  The dynamics of correlated novelties , 2013, Scientific Reports.

[43]  James A. Hendler,et al.  The Semantic Web: A new form of Web content that is meaningful to computers will unleash a revolution of new possibilities , 2001 .

[44]  Zhaohui Wu Brain-machine interface (BMI) and cyborg intelligence , 2014, Journal of Zhejiang University SCIENCE C.

[45]  Sang Joon Kim,et al.  A Mathematical Theory of Communication , 2006 .

[46]  Jason D. Hoeksema,et al.  Cheaters must prosper: reconciling theoretical and empirical perspectives on cheating in mutualism. , 2015, Ecology letters.

[47]  Chandra Sripada,et al.  Using big data to map the network organization of the brain , 2014, Behavioral and Brain Sciences.

[48]  Jürgen Schmidhuber,et al.  Deep learning in neural networks: An overview , 2014, Neural Networks.

[49]  S. Lloyd Computational capacity of the universe. , 2001, Physical review letters.

[50]  Michel A. Hofman,et al.  Evolution of the human brain: when bigger is better , 2014, Front. Neuroanat..

[51]  Viktor Mayer-Schnberger,et al.  Big Data: A Revolution That Will Transform How We Live, Work, and Think , 2013 .

[52]  E. Szathmáry Toward major evolutionary transitions theory 2.0 , 2015, Proceedings of the National Academy of Sciences.

[53]  Alexander S. Szalay,et al.  From Cosmos to Connectomes: The Evolution of Data-Intensive Science , 2014, Neuron.

[54]  Yadira Espinal Viktor Mayer-Schonberger and Kenneth Cukier, Big Data: A Revolution That Will Transform How We Live, Work and Think , 2013 .

[55]  James J. S. Norton,et al.  Soft, curved electrode systems capable of integration on the auricle as a persistent brain–computer interface , 2015, Proceedings of the National Academy of Sciences.

[56]  E. Jablonka,et al.  Inheritance systems and the evolution of new levels of individuality. , 1994, Journal of theoretical biology.

[57]  Eva Jablonka,et al.  The evolution of information in the major transitions. , 2006, Journal of theoretical biology.

[58]  Jing Wang,et al.  A Brain-to-Brain Interface for Real-Time Sharing of Sensorimotor Information , 2013, Scientific Reports.

[59]  Chet Langin,et al.  Languages and Machines: An Introduction to the Theory of Computer Science , 2007 .

[60]  Dorothea Heiss-Czedik,et al.  An Introduction to Genetic Algorithms. , 1997, Artificial Life.

[61]  Thomas M. Cover,et al.  Elements of Information Theory , 2005 .

[62]  Martin Hilbert,et al.  The World’s Technological Capacity to Store, Communicate, and Compute Information , 2011, Science.

[63]  W. Brian Arthur,et al.  The Nature of Technology: What it Is and How it Evolves , 2009 .

[64]  Clive Thompson,et al.  Smarter Than You Think: How Technology is Changing Our Minds for the Better , 2013 .

[65]  Josh Wolff,et al.  The Rise of Artificial Intelligence , 2018 .

[66]  J. Koomey Worldwide electricity used in data centers , 2008 .

[67]  E. Lutz,et al.  Information: From Maxwell’s demon to Landauer’s eraser , 2015 .

[68]  J. Ioannidis,et al.  Meta-analysis methods for genome-wide association studies and beyond , 2013, Nature Reviews Genetics.

[69]  Judy Qiu,et al.  Total Synthesis of a Functional Designer Eukaryotic Chromosome , 2014, Science.

[70]  David Cope The well-programmed clavier: style in computer music composition , 2013, XRDS.

[71]  R. Lewontin ‘The Selfish Gene’ , 1977, Nature.

[72]  G. Pascal Zachary Let's shape AI before AI shapes us , 2015 .

[73]  Wei Fan,et al.  Mining big data: current status, and forecast to the future , 2013, SKDD.

[74]  Lada A. Adamic,et al.  Exposure to ideologically diverse news and opinion on Facebook , 2015, Science.

[75]  Mark A Tully,et al.  The validation of Fibit Zip™ physical activity monitor as a measure of free-living physical activity , 2014, BMC Research Notes.

[76]  Charles M. Jones,et al.  Does Algorithmic Trading Improve Liquidity? , 2010 .

[77]  Hal R. Varian,et al.  Information rules - a strategic guide to the network economy , 1999 .

[78]  A. Budden,et al.  Big data and the future of ecology , 2013 .

[79]  M. Lynch Evolution of the mutation rate. , 2010, Trends in genetics : TIG.

[80]  B. Zonneveld,et al.  New record holders for maximum genome size in eudicots and monocots. , 2010 .

[81]  Thierry Paul,et al.  Quantum computation and quantum information , 2007, Mathematical Structures in Computer Science.

[82]  Peter Dayan,et al.  A Neural Substrate of Prediction and Reward , 1997, Science.

[83]  R. Jackendoff Foundations of Language: Brain, Meaning, Grammar, Evolution , 2002 .

[84]  G. Pascal Zachary Technological progress and the perpetual learning curve [Spectral Lines] , 2015 .

[85]  Sarvapali D. Ramchurn,et al.  Putting the 'smarts' into the smart grid , 2012, Commun. ACM.

[86]  Geoffrey E. Hinton,et al.  Reducing the Dimensionality of Data with Neural Networks , 2006, Science.

[87]  D. Dennett The cultural evolution of words and other thinking tools. , 2009, Cold Spring Harbor symposia on quantitative biology.

[88]  Terrence J Sejnowski,et al.  Communication in Neuronal Networks , 2003, Science.

[89]  Charles S. Cockell,et al.  An Estimate of the Total DNA in the Biosphere , 2015, PLoS biology.