Dysfunctions of highly parallel real-time machines as 'developmental disorders': Security concerns and a Caveat Emptor

A cognitive paradigm for gene expression in developmental biology that is based on rigorous application of the asymptotic limit theorems of information theory can be adapted to highly parallel real-time computing. The coming Brave New World of massively parallel 'autonomic' and 'Self-X' machines driven by the explosion of multiple core and molecular computing technologies will not be spared patterns of canonical and idiosyncratic failure analogous to the developmental disorders affecting organisms that have had the relentless benefit of a billion years of evolutionary pruning. This paper provides a warning both to potential users of these machines and, given that many such disorders can be induced by external agents, to those concerned with larger scale matters of homeland security.

[1]  R. Wallace.  Culture and inattentional blindness: a global workspace perspective. , 2007, Journal of Theoretical Biology.

[2]  D. Burago,et al.  A Course in Metric Geometry , 2001 .

[3]  Robert B. Ash,et al.  Information Theory , 2020, The SAGE International Encyclopedia of Mass Media and Society.

[4]  R. Wallace,et al.  Collective Consciousness and Its Discontents:: Institutional distributed cognition, racial policy, and public health in the United States , 2007 .

[5]  Rodrick Wallace,et al.  Gene Expression and Its Discontents: The Social Production of Chronic Disease , 2009 .

[6]  Miles Reid,et al.  Geometry and Topology: List of figures , 2005 .

[7]  Rodrick Wallace,et al.  Programming coevolutionary machines: the emerging conundrum , 2009, Int. J. Parallel Emergent Distributed Syst..

[8]  Ronald Brown.  From Groups to Groupoids: a Brief Survey , 1987 .

[9]  Aleksandr Yakovlevich Khinchin,et al.  Mathematical foundations of information theory , 1959 .

[10]  M. West-Eberhard,et al.  Developmental plasticity and the origin of species differences , 2005, Proceedings of the National Academy of Sciences of the United States of America.

[11]  Rodrick Wallace,et al.  Punctuated Equilibrium in Statistical Models of Generalized Coevolutionary Resilience: How Sudden Ecosystem Transitions Can Entrain Both Phenotype Expression and Darwinian Selection , 2009, Trans. Comp. Sys. Biology.

[12]  Fred I. Dretske,et al.  The explanatory role of information , 1994, Philosophical Transactions of the Royal Society of London. Series A: Physical and Engineering Sciences.

[13]  Rodrick Wallace,et al.  Tunable epigenetic catalysis: programming real-time cognitive machines , 2010, Int. J. Parallel Emergent Distributed Syst..

[14]  T. Frankel.  The geometry of physics : an introduction , 2004 .

[15]  E. Lahelma,et al.  Food insecurity is associated with past and present economic disadvantage and body mass index. , 2001, The Journal of nutrition.

[16]  Rodrick Wallace,et al.  Rate Distortion Manifolds as Model Spaces for Cognitive Information , 2009, Informatica.

[17]  R. Wallace.  Developmental Disorders as Pathological Resilience Domains , 2008 .

[18]  A. Weinstein.  Groupoids: unifying internal and external symmetry , 1996, math/9602220.

[19]  A. Wagner,et al.  Innovation and robustness in complex regulatory gene networks , 2007, Proceedings of the National Academy of Sciences.

[20]  S. Helgason.  Differential Geometry and Symmetric Spaces , 1964 .

[21]  Irun R. Cohen,et al.  Immune system computation and the immunological homunculus , 2006, MoDELS'06.

[22]  H. Atmanspacher.  Consciousness: A Mathematical Treatment of the Global Neuronal Workspace Model , 2006 .

[23]  Charles H. Bennett.  Logical depth and physical complexity , 1988 .

[24]  Arcwise Isometries,et al.  A Course in Metric Geometry , 2001 .

[25]  J. A. Tuszyński,et al.  Analysis of the three-dimensional time-dependent Landau−Ginzburg equation and its solutions , 1989 .

[26]  H. Maturana,et al.  Autopoiesis and Cognition , 1980 .

[27]  P N Johnson-Laird,et al.  A hyper-emotion theory of psychological illnesses. , 2006, Psychological review.

[28]  S. Dehaene,et al.  Towards a cognitive neuroscience of consciousness: basic evidence and a workspace framework , 2001, Cognition.

[29]  Jürgen Jost,et al.  Gene and genon concept: coding versus regulation , 2007, Theory in Biosciences.

[30]  Alan Weinstein,et al.  Geometric Models for Noncommutative Algebras , 1999 .

[31]  Rodrick Wallace,et al.  Toward formal models of biologically inspired, highly parallel machine cognition , 2008, Int. J. Parallel Emergent Distributed Syst..

[32]  C. S. Holling.  Resilience and Stability of Ecological Systems , 1973 .

[33]  Klaus Scherrer,et al.  The gene and the genon concept: a functional and information-theoretic analysis , 2007, Molecular systems biology.

[34]  Scott F. Gilbert,et al.  Mechanisms for the environmental regulation of gene expression: Ecological aspects of animal development , 2005, Journal of Biosciences.

[35]  Rodrick Wallace,et al.  Code, Context, and Epigenetic Catalysis in Gene Expression , 2009, Trans. Comp. Sys. Biology.

[36]  R. Wallace,et al.  Evolutionary radiation and the spectrum of consciousness , 2009, Consciousness and Cognition.

[37]  TOWARD AN INFORMATION THEORETICAL IMPLEMENTATION OF CONTEXTUAL CONDITIONS FOR CONSCIOUSNESS , 2006 .

[38]  David Harel,et al.  Explaining a complex living system: dynamics, multi-scaling and emergence , 2007, Journal of The Royal Society Interface.

[39]  Andreas Wagner,et al.  Robustness Can Evolve Gradually in Complex Regulatory Gene Networks with Varying Topology , 2007, PLoS Comput. Biol..

[40]  M. Pettini.  Geometry and Topology in Hamiltonian Dynamics and Statistical Mechanics , 2007, 0711.1484.

[41]  S Dehaene,et al.  Spin glass model of learning by selection. , 1986, Proceedings of the National Academy of Sciences of the United States of America.

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

[43]  I. Cohen,et al.  Immune information, self-organization and meaning. , 1998, International immunology.

[44]  Rodrick Wallace,et al.  Small worlds and Red Queens in the Global Workspace: An information-theoretic approach , 2009, Cognitive Systems Research.

[45]  L. Gunderson.  Ecological Resilience—In Theory and Application , 2000 .

[46]  M. Golubitsky,et al.  Nonlinear dynamics of networks: the groupoid formalism , 2006 .