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Do aliens dream of offworld sheep?

Published online by Cambridge University Press:  30 July 2018

Rodrick Wallace*
Affiliation:
Division of Epidemiology, The New York State Psychiatric Institute, Box 47, 1051 Riverside Drive, New York, USA
*
Author for correspondence: Rodrick Wallace, E-mail: [email protected]

Abstract

The Stanley Miller experiment suggests that amino acid-based life is ubiquitous in our universe, although its varieties will not have followed the particular, highly contingent and path-dependent, evolutionary trajectory found on Earth. Are many alien organisms likely to be individually conscious in ways we would recognize? Almost certainly. Will alien consciousness require a ‘sleep cycle’? A strong argument suggests it will. Can some species develop analogs to culture and high-order technology? Less likely, but still fairly probable. If so, will we be able to communicate with them? Only on a basic level, and only with profound difficulty. The reasoning is fairly direct and involves convolution of a learned heritage system with individual and collective consciousness.

Type
Research Article
Copyright
Copyright © Cambridge University Press 2018 

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References

Appleby, J, Mao, X and Rodkina, A (2008) Stabilization and destabilization of nonlinear differential equations by noise. IEEE Transactions on Automatic Control 53, 126132.Google Scholar
Ash, R (1990) Information Theory. New York: Dover Publications.Google Scholar
Atlan, H and Cohen, I (1998) Immune information, self-organization, and meaning. International Immunology 10, 711717.Google Scholar
Avital, E and Jablonka, E (2000) Animal Traditions: Behavioral Inheritance in Evolution. New York: Cambridge University Press.Google Scholar
Baars, B (1988) A Cognitive Theory of Consciousness. New York: Cambridge University Press.Google Scholar
Baars, B (2005) Global workspace theory of consciousness: toward a cognitive neuroscience of human experience. Progress in Brain Research 150, 4553.Google Scholar
Bjelakovic, I, Kruger, T, Siegmund-Schultz, R and Szkola, A (2003) Chained typical subspaces – a quantum version of Brieman's theorem, ArXiv, quant-ph/0301177.Google Scholar
Bjelakovic, I, Kruger, T, Siegmund-Schultze, R and Szkola, A (2004) The Shannon-McMillan theorem for ergodic quantum lattice systems. Inventiones Mathematicae 155, 203222.Google Scholar
Booth, V and Diniz Behn, C (2014) Physiologically-based modeling of sleep-wake regulatory networks. Mathematical Biosciences 250, 5468.Google Scholar
Borbely, A (1982) A two process model of sleep regulation. Human Neurobiology 1, 195204.Google Scholar
Brown, R (1987) From groups to groupoids: a brief survey. Bulletin of the London Mathematical Society 19, 113134.Google Scholar
Cartmill, M (2000) Animal consciousness: some philosophical, methodological, and evolutionary problems. American Zoologist 40, 835846.Google Scholar
Cohen, I (2000) Tending Adam's Garden: Evolving the cognitive immune self. New York: Academic Press.Google Scholar
Cover, T and Thomas, J (2006) Elements of Information Theory, 2nd Edn. New York: John Wiley and Sons.Google Scholar
Daan, S, Beersma, D and Borbely, A (1984) Timing of human sleep: recovery process gated by a circadian pacemaker. American Journal of Physics 246, 161178.Google Scholar
Dehaene, S and Naccache, L (2001) Towards a cognitive neuroscience of consciousness: basic evidence and a workspace framework. Cognition 79, 137.Google Scholar
Dretske, F (1994) The explanatory role of information. Philosophical Transactions of the Royal Society A 349, 5970.Google Scholar
Edelman, D, Baars, B and Seth, A (2005) Identifying hallmarks of consciousness in non-mammalian species. Consciousness and Cognition 14, 169187.Google Scholar
El Gamal, A and Kim, Y (2010) Lecture notes on network information theory. arXiv:1001.3404v4 [cs.IT].Google Scholar
Evans, B (2003) Sleep, consciousness and the spontaneous and evoked electrical activity in the brain. Is there a cortical integrating mechanism? Neurophysiiologie Clinique 33, 110.Google Scholar
Feynman, R (2000) Lectures on Computation. New York: Westview Press.Google Scholar
Griffin, D and Speck, G (2004) New evidence of animal consciousness. Animal Cognition 7, 518.Google Scholar
Harris, J, Jolivet, R and Attwell, D (2012) Synaptic energy use and supply. Neuron 75, 762777.Google Scholar
Heine, S (2001) Self as cultural product: an examination of East Asian and North American selves. Journal of Personality 69, 881906.Google Scholar
Hobson, JA (2009) REM sleep and dreaming: towards a theory of protoconsciousness. Nature Reviews Neuroscience 10, 803813.Google Scholar
Hubbard, T (2003) Some Correspondences and Similarities of Shamanism and Cognitive Science: Interconnectedness, Extension of Meaning, and Attribution of Mental States. Anthropology of Consciousness 14, 2645.Google Scholar
Hudson, A, Calderon, D, Pfaff, D and Proekt, A (2014) Recovery of consciousness is mediated by a network of discrete metastable activity states. Proceedings of the National Academy of Sciences of the United States of America 111, 92839288.Google Scholar
Jin, H, Hu, Z and Zhou, X (2008) A convex stochastic optimization problem arising from portfolio selection. Mathematical Finance 18, 171183.Google Scholar
Khinchin, A (1957) Mathematical Foundations of Information Theory. New York: Dover.Google Scholar
Laidler, K (1987) Chemical Kinetics, 3rd Edn. New York: Harper and Row.Google Scholar
Landau, L and Lifshitz, E (2007) Statistical Physics, Part I. New York: Elsevier.Google Scholar
Lu, J, Sherman, D and Saper, C (2006) A putative flip-flop switch for control of REM sleep. Nature 441, 589594.Google Scholar
Madsen, P and Vorstrup, S (1991) Cerebral blood flow and metabolism during sleep. Cerebrovascular Brain Metabolism Review 3, 281296.Google Scholar
Markus, H and Kitayama, S (1991) Culture and self-implications for cognition, emotion, and motivation. Psychological Reviews 98, 224253.Google Scholar
Matsuda, T and Nisbett, R (2006) Culture and change blindness. Cognitive Science 30, 381399.Google Scholar
Maturana, H and Varela, F (1980) Autopoiesis and Cognition. Dordrecht: Riedel.Google Scholar
Nisbett, R, Peng, K, Incheol, C and Norenzayan, A (2001) Culture and the system of thought: holistic versus analytic cognition. Psycholical Review 108, 291310.Google Scholar
Nisbett, R and Miyamoto, Y (2005) The influence of culture: holistic versus analytic perception. Trends in Cognitive Science 10, 467473.Google Scholar
Penrose, R (1994) Shadows of the Mind: A Search for the Missing Science of Consciousness. New York: Oxford University Press.Google Scholar
Pettini, M (2007) Geometry and Topology in Hamiltonian Dynamics and Statistical Mechanics. New York: Springer.Google Scholar
Phillips, A and Robinson, P (2007) A quantitative model of sleep-wake dynamics based on the physiology of the brainstem ascending arousal system. Journal of Biological Rhythms 22, 167179.Google Scholar
Protter, P (2005) Stochastic Integration and Differential Equations, 2nd Edn. New York: Springer.Google Scholar
Richerson, P and Boyd, R (2004) Not by Genes Alone; How Culture Transformed Human Evolution. Chicago, IL: Chicago University Press.Google Scholar
Saper, C, Cano, G and Scammell, T (2005) Homeostatic, circadian, and emotional regulation of sleep. Journal of Comparative Neurology 493, 9298.Google Scholar
Sergeant, C and Dehaene, S (2004) Is consciousness a gradual phenomenon? Evidence for an all-or-nothing bifurcation during the attentional blink. Psychological Science 15, 720728.Google Scholar
Skeldon, A, Dijk, D and Derks, G (2014) Mathematical models for sleep-wake dynamics: comparison of the two-process and a mutual inhibition neuronal model PlosOne 9,e103877.Google Scholar
Spenser, J (2010) The giant component: the golden anniversary. Notices of the American Mathematical Society 57, 720724.Google Scholar
Tegmark, M (2000) Importance of quantum decoherence in brain processes. Physical Review E 61, 41944206.Google Scholar
Tegmark, M (2015) Consciousness as a state of matter. Chaos, Solitons, and Fractals 76, 238270.Google Scholar
Tononi, G (2012) Phi: A voyate from the Brain to the Soul. New York: Knopf.Google Scholar
Wallace, R (2000) Language and coherent neural amplification in hierarchical systems: renormalization and the dual information source of a generalized spatiotemporal stochastic resonance. International Journal of Bifurcation and Chaos 10, 493502.Google Scholar
Wallace, R (2005) Consciousness: A Mathematical Treatment of the Global Neuronal Workspace Model. New York: Springer.Google Scholar
Wallace, R (2007) Culture and inattentional blindness. Journal of Theoretical Biology 245, 378390.Google Scholar
Wallace, R and Fullilove, M (2008) Collective Consciousness and its Discontents. New York: Springer.Google Scholar
Wallace, RG and Wallace, R (2009) Evolutionary radiation and the spectrum of consciousness. Consciousness and Cognition 18, 160167.Google Scholar
Wallace, R (2010) Expanding the modern synthesis. Comptes Rendus Biologies 333, 701709.Google Scholar
Wallace, R (2012) Consciousness, crosstalk, and the mereological fallacy: an evolutionary perspective. Physics of Life Reviews 9, 426453.Google Scholar
Wallace, R (2013) A new formal approach to evolutionary processes in socioeconomic systems. Journal of Evolutionary Economics 23, 115.Google Scholar
Wallace, R (2015) Closed-system ‘economic’ models for psychiatric disorders: Western atomism and its culture-bound syndromes. Cognitive Processing 16, 279290.Google Scholar
Wallace, R (2016a) High metabolic demand in neural tissues: information and control theory perspectives on the synergism between rate and stability. Journal of Theoretical Biology 409, 8696.Google Scholar
Wallace, R (2016b) The metabolic economics of environmental adaptation. Ecological Modelling 322, 4853.Google Scholar
Wallace, R (2017) Computational Psychiatry: A systems approach to the epigenetics of mental disorders. New York: Springer.Google Scholar
Wallace, R (2018a) New statistical models of nonergodic cognitive systems and their pathologies. Journal of Theoretical Biology 436, 7278.Google Scholar
Wallace, R (2018b) Culture and the trajectories of developmental pathology: insights from control and information theories. Acta Biotheoretica 66, 79112.Google Scholar
Worthman, C and Melby, M (2002) Toward a comparative developmental ecology of human sleep. In Carskadon, M (ed.), Adolescent Sleep Patterns: Biological, Social, and Psychological Influences. New York: Cambridge University Press, pp. 69117.Google Scholar