Biological Theory

, Volume 1, Issue 3, pp 243–249 | Cite as

The Biological Nature of Meaningful Information



One of the major impediments to understanding the concept of information is that the term is used to describe a number of disparate things, including a property of organized matter and messages sent from a sender to a receiver. Information is essentially an attribute of the form that matter and energy take, not of matter and energy themselves. Intrinsic information is a theoretical measure of the degree to which an entity is organized, the opposite of entropy. Meaningful information, however, involves the detection of a pattern of organized matter or energy by an animate or a man-made receptor, which triggers a change in the behavior, function, or organizational structure of the receiving entity. The ability to detect and respond to meaningful information is one of the defining characteristics of living entities; the process that enables cells and organisms to receive their genetic heritage, regulate their internal milieu, and respond to changes in their environment. Although energy and information are the two fundamental causal agents in the natural world, they bring about change through completely different mechanisms. The energy involved in physical interactions is supplied by the originating entity, while the energy involved in informational interactions is provided by the recipient. There is no predictable relationship between the nature of the informational stimulus and the response it engenders, for this is primarily determined by the pattern of connections between the involved receptors and effectors that evolution and learning have fashioned. As a result, a living entity’s response to information cannot be predicted on a purely mechanical basis. The laws that describe the physical interaction of organized matter apply to the transfer of energy, not to the transfer of information. This is why biology cannot be reduced to physics.


biology cause and effect energy and information evolution information information detection information storage information transmission meaning 


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  1. Adler J (1966) Chemotaxis in bacteria. Science 153: 708–716.CrossRefGoogle Scholar
  2. Attneave F (1959) Applications of Information Theory to Psychology. New York: Henry Holt.Google Scholar
  3. Baddeley R, Hancock P, Foldiak P, eds (2000) Information Theory and the Brain. Cambridge: Cambridge University Press.Google Scholar
  4. Bolton D, Hill J (2004) Mind, Meaning, and Mental Disorder: The Nature of Causal Explanation in Psychology and Psychiatry. New York: Oxford University Press.CrossRefGoogle Scholar
  5. Bourtchouladze R (2002) Memories Are Made of This: How Memory Works in Humans and Animals. New York: Columbia University Press.Google Scholar
  6. Bray D (1975) Protein molecules as computational elements in living cells. Nature: 376: 307–712.CrossRefGoogle Scholar
  7. Cairns-Smith AG (1966) Evolving the Mind: On the Nature of Matter and the Origin of Consciousness. Cambridge: Cambridge University Press.Google Scholar
  8. Dretske FI (1981) Knowledge and the Flow of Information. Cambridge, MA: MIT Press.Google Scholar
  9. Dretske FI (2000) Perception, Knowledge, and Belief: Selected Essays. Cambridge: Cambridge University Press.CrossRefGoogle Scholar
  10. Forbes N (2004) The Imitation of Life: How Biology is Inspiring Computing. Cambridge, MA: MIT Press.Google Scholar
  11. Freeman WJ (2001) How Brains Make Up Their Minds. New York: Columbia University Press.Google Scholar
  12. Gatlin LL (1972) Information Theory and the Living System. New York: Columbia University Press.Google Scholar
  13. Gell-Mann M (1994) The Quark and the Jaguar: Adventures in the Simple and the Complex. New York: Freeman.Google Scholar
  14. Glimcher PW (2003) Decisions, Uncertainty, and the Brain: The Science of Neuroeconomics. Cambridge, MA: MIT Press.Google Scholar
  15. Glynn I (1999) An Anatomy of Thought: The Origin and Machinery of the Mind. New York: Oxford University Press.Google Scholar
  16. Harold FM (1986) The Vital Force: A Study of Bioenergetics. New York: Freeman.Google Scholar
  17. Johnston VS (1999) Why We Feel: The Science of Human Emotions. Reading: Perseus Books.Google Scholar
  18. Kåhre J (2002) The Mathematical Theory of Information. Boston: Kluwer.CrossRefGoogle Scholar
  19. Kandel ER (2006) In Search of Memory: The Emergence of a Science of Mind. New York: Norton.Google Scholar
  20. Kelso JAS (1995) Dynamic Patterns: The Self-Organization of Brain and Behavior. Cambridge, MA: MIT Press.Google Scholar
  21. Loewenstein WR (1999) The Touchstone of Life: Molecular Information, Cell Communication, and the Foundations of Life. New York: Oxford University Press.Google Scholar
  22. MacKay DM (1969) Information, Mechanism and Meaning. Cambridge, MA: MIT Press.Google Scholar
  23. Mayr E (1997) This is Biology: The Science of the Living World. Cambridge, MA: Harvard University Press.Google Scholar
  24. Niehoff D (2005) The Language of Life: How Cells Communicate in Health and Disease. Washington, DC: Joseph Henry Press.Google Scholar
  25. Orengo C, Jones D, Thornton J (2003) Bioinformatics: Genes, Proteins and Computers. Oxford: Bios Scientific.Google Scholar
  26. Reading A (2004) Hope and Despair: How Perceptions of the Future Shape Human Behavior. Baltimore: Johns Hopkins University Press.Google Scholar
  27. Sarkar S (2005) Molecular Models of Life: Philosophical Papers on Molecular Biology. Cambridge, MA: MIT Press.Google Scholar
  28. Searle JR (2004) Mind: A Brief Introduction. New York: Oxford University Press.Google Scholar
  29. Shannon C, Weaver W (1964) The Mathematical Theory of Communication Urbana: University of Illinois Press.Google Scholar
  30. Stonier T (1997) Information and Meaning: An Evolutionary Perspective. London: Springer.CrossRefGoogle Scholar
  31. Tweed D (2003) Microcosms of the Brain: What Sensorimotor Systems Reveal about the Mind. Oxford: Oxford University Press.Google Scholar
  32. Von Bayer HC (2004) Information: The New Language of Science. Cambridge, MA: Harvard University Press.Google Scholar
  33. Whitfield JC (1984) Neurocommunications: An Introduction. Chichester: Wiley.Google Scholar
  34. Wicken J (1987) Evolution, Thermodynamics, and Information: Extending the Darwinian Program. New York: Oxford University Press.Google Scholar
  35. Wiener N (1948) Cybernetics or Control and Communication in the Animal and the Machine. New York: Wiley.Google Scholar
  36. Wiener N (1967) The Human Use of Human Beings. New York: Avon Books.Google Scholar
  37. Young P (1987) The Nature of Information. New York: Praeger.Google Scholar

Copyright information

© Konrad Lorenz Institute for Evolution and Cognition Research 2006

Authors and Affiliations

  1. 1.Department of PsychiatryUniversity of South FloridaTampaUSA

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