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 +
Kim, J. (2008). Making sense of emergence. In M. Bedau & P. Humphreys (Eds.), Emergence: contemporary readings in philosophy and science (pp. 127–153). Cambridge: MIT Press.
 +
      
 +
Koch, C. (2004). The quest for consciousness: a neurobiological approach. Denver: Roberts and Co.
 +
      
 +
Machotka, P. (1980). Daniel Berlyne’s contributions to empirical aesthetics. Motivation and Emotion, 4, 113–121. http://dx.doi.org/10.1007/BF00995192
 +
      
 +
MacKay, D. G. (1987). The organization of perception and action. New York: Springer. http://dx.doi.org/10.1007/978-1-4612-4754-8
 +
   
 +
Marcus, G. F. (2001). The algebraic mind. Cambridge: MIT Press.
 +
      
 +
Maruyama, M. (1977). Heterogenistics: an epistemological restructuring of biological and social sciences. Cybernetica, 20, 69–86.
 +
      
 +
Maturana, H. R. (1981). Autopoiesis. In M. Zeleny (Ed.), Autopoiesis: a theory of the living. New York: North Holland.
 +
      
 +
Maturana, H., & Varela, F. (1973). Autopoiesis: the organization of the living. In H. Maturana & F. Varela (Eds.), Boston studies in the philosophy of science: Vol. 42. Autopoiesis and cognition (1980). Dordrecht: Reidel.
 +
      
 +
McCulloch, W. S. (1965). Embodiments of mind. Cambridge: MIT Press.
 +
      
 +
Miller, R. (2000). Time and the brain, conceptual advances in brain research. Australia: Harwood Academic Publishers/Gordon and Breach.
 +
      
 +
Mingers, J. (1995). Self-producing systems. New York: Plenum Press.
 +
      
 +
Morgan, L. (1931). Emergent evolution (3rd ed.). New York: Henry Holt.
 +
      
 +
Morrell, F. (1967). Electrical signs of sensory coding. In G. Quarton, T. Melnechuck, & F. Schmitt (Eds.), The neurosciences: a study program (pp. 452–469). New York: Rockefeller University Press.
 +
      
 +
Morris, C. (1946). Signs, language, and behavior. New York: George Braziller.
 +
      
 +
Mountcastle, V. (1967). The problem of sensing and the neural coding of sensory events. In G. Quarton, T. Melnechuk & F. Schmitt (Eds.), The neurosciences: a study program. New York: Rockefeller University Press.
 +
      
 +
Nöth, W. (1990). Handbook of semiotics. Indianapolis: Indiana University Press.
 +
      
 +
Orbach, J. (1998). The neuropsychological theories of Lashley and Hebb. Lanham: University Press of America.
 +
      
 +
Pask, G. (1959). Physical analogues to the growth of a concept (pp. 765–794). London: H.M.S.O.
 +
      
 +
Pask, G. (1960). The natural history of networks. In M. Yovits & S. Cameron (Eds.), Self-Organizing systems. Proceedings of an interdisciplinary conference, May 5–6, 1959 (pp. 232–263). New York: Pergamon Press.
 +
      
 +
Pask, G. (1961). An approach to cybernetics. Science today series. New York: Harper and Brothers.
 +
      
 +
Pattee, H. H. (1982). Cell psychology: an evolutionary view of the symbol-matter problem. Cognition and Brain Theory, 5, 325–341.
 +
      
 +
Pattee, H. H. (1996). The problem of observables in models of biological organizations. In E. L. Khalil & K. E. Boulding (Eds.), Evolution, order, and complexity (pp. 249–264). London: Routledge.
 +
      
 +
Pattee, H. H. (2008). The necessity of biosemiotics: matter-symbol complementarity. In M. Barbieri (Ed.), Introduction to biosemiotics (pp. 115–132). Dordrecht: Springer.
 +
      
 +
Pepper, S. C. (1942). World hypotheses, a study in evidence. Berkeley: University of California Press.
 +
      
 +
Perkell, D., & Bullock, T. (1968). Neural coding. Neurosciences Research Program Bulletin, 6(3), 221–348.
 +
      
 +
Piaget, J. (1980). The psychogenesis of knowledge and its epistemological significance. In M. Piatelli-Palmarini (Ed.), Language and learning. The debate between Jean Piaget and Noam Chomsky (pp. 23–34). Cambridge: Harvard University Press.
 +
      
 +
Piatelli-Palmarini, M. (1980). How hard is the hard core of a scientific paradigm? In M. Piatelli-Palmarini (Ed.), Language and learning. The debate between Jean Piaget and Noam Chomsky. Cambridge: Harvard University Press.
 +
      
 +
Pickering, A. (2010). The cybernetic brain: sketches of another future. Chicago: University of Chicago Press.
 +
      
 +
Powers, W. (1973). Behavior: the control of perception, New York: Aldine.
 +
      
 +
Pratt, G. (1990). Pulse computation. PhD, M.I.T.
 +
      
 +
Raymond, S., & Lettvin, J. (1978). Aftereffects of activity in peripheral axons as a clue to nervous coding. In S. Waxman (Ed.), Physiology and pathobiology of axons. New York: Raven Press.
 +
      
 +
Redgrave, P. (2007). Basal ganglia. Scholarpedia, 2(6), 1825. http://dx.doi.org/10.4249/scholarpedia.1825
 +
      
 +
Rocha, L. (1996). Eigen-states and symbols. Systems Research, 13(3), 371–384. http://dx.doi.org/10.1002/(SICI)1099-1735(199609)13:3%3C371::AID-SRES95%3E3.0.CO;2-U
 +
      
 +
Rose, D. (2006). Consciousness. Philosophical, psychological, and neural theories. Oxford: Oxford University Press.
 +
      
 +
Rosen, R. (1985). Anticipatory systems. Oxford: Pergamon Press.
 +
      
 +
Rosen, R. (1991). Life itself. New York: Columbia University Press.
 +
      
 +
Singer, W. (1999). Neuronal synchrony: a versatile code for the definition of relations? Neuron, 24(1), 49–65. 111–125. http://dx.doi.org/10.1016/S0896-6273(00)80821-1
 +
      
 +
Skrbina, D. (2005). Panpsychism in the west. Cambridge: MIT Press.
 +
      
 +
Sommerhoff, G. (1974). Logic of the living brain. London: Wiley.
 +
      
 +
Stewart, J. (2000). From autopoiesis to semantic closure. Annals of the New York Academy of Sciences, 901, 155–162. http://dx.doi.org/10.1111/j.1749-6632.2000.tb06275.x
 +
      
 +
Stewart, R. M. (1969). Electrochemically active field-trainable pattern recognition systems. IEEE Transactions on Systems Science and Cybernetics, SSC-5(3), 230–237. http://dx.doi.org/10.1109/TSSC.1969.300265
 +
   
 +
Thatcher, R. W., & John, E. R. (1977). Functional neuroscience, Vol. I. Foundations of cognitive processes. Hillsdale: Lawrence Erlbaum.
 +
      
 +
Turing, A. (1939). Systems of logic based on ordinals. Proceedings of the London Mathematical Society, 45(2), 161–228. http://dx.doi.org/10.1112/plms/s2-45.1.161
 +
      
 +
van Fraassen, B. C. (1980). The scientific image. Oxford: Oxford University Press. http://dx.doi.org/10.1093/0198244274.001.0001
 +
      
 +
Varela, F. (1979). Principles of biological autonomy. New York: North Holland.
 +
      
 +
von Foerster, H. (2003). Understanding understanding: essays on cybernetics and cognition. New York: Springer.
 +
      
 +
von Glasersfeld, E. (1992). Aspects of constructivism: Vico, Berkely, Piaget. In M. Ceruti (Ed.), Evoluzione e conoscenza, Lubrina, Bergamo, Italy (pp. 421–432). Reprinted in von Glasersfeld, Key works of radical constructivism (pp. 421–429).
 +
      
 +
von Glasersfeld, E. (2007). Cybernetics and the theory of knowledge. In M. Larochelle (Ed.), Key works in radical constructivism (pp. 153–169). Rotterdam: Sense Publishers.
 +
      
 +
von Neumann, J. (1951). The general and logical theory of automata, in. In L. A. Jeffress (Ed.), Cerebral mechanisms of behavior (the Hixon symposium) (pp. 1–41). New York: Wiley.
 +
 
 +
Wasserman, G. S. (1992). Isomorphism, task dependence, and the multiple meaning theory of neural coding. Biological Signals, 1, 117–142. http://dx.doi.org/10.1159/000109318
  
  

Version vom 16. November 2014, 22:01 Uhr


Reference

Peter Cariani: Creating New Informational Primitives in Minds and Machines. In: McCormack & d’Inverno: Computers and Creativity, Springer, Berlin, 2012, 383-417

DOI

http://link.springer.com/chapter/10.1007/978-3-642-31727-9_15

Abstract

Creativity involves the generation of useful novelty. Two modes of creating novelty are proposed: via new combinations of pre-existing primitives (combinatoric emergence) and via creation of fundamentally new primitives (creative emergence). The two modes of creativity can be distinguished by whether the changes still fit into an existing framework of possibility, or whether new dimensions in an expanded interpretive framework are needed. Although computers are well suited to generating new combinations, it is argued that computations within a framework cannot produce new primitives for that framework, such that non-computational constructive processes must be utilised to expand the frame. Mechanisms for combinatoric and creative novelty generation are considered in the context of adaptively self-steering and self-constructing goal-seeking percept-action devices. When such systems can adaptively choose their own sensors and effectors, they attain a degree of epistemic autonomy that allows them to construct their own meanings. A view of the brain as a system that creates new neuronal signal primitives that are associated with new semantic and pragmatic meanings is outlined.

Extended Abstract

Bibtex

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Pask, G. (1961). An approach to cybernetics. Science today series. New York: Harper and Brothers.

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Skrbina, D. (2005). Panpsychism in the west. Cambridge: MIT Press.

Sommerhoff, G. (1974). Logic of the living brain. London: Wiley.

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van Fraassen, B. C. (1980). The scientific image. Oxford: Oxford University Press. http://dx.doi.org/10.1093/0198244274.001.0001

Varela, F. (1979). Principles of biological autonomy. New York: North Holland.

von Foerster, H. (2003). Understanding understanding: essays on cybernetics and cognition. New York: Springer.

von Glasersfeld, E. (1992). Aspects of constructivism: Vico, Berkely, Piaget. In M. Ceruti (Ed.), Evoluzione e conoscenza, Lubrina, Bergamo, Italy (pp. 421–432). Reprinted in von Glasersfeld, Key works of radical constructivism (pp. 421–429).

von Glasersfeld, E. (2007). Cybernetics and the theory of knowledge. In M. Larochelle (Ed.), Key works in radical constructivism (pp. 153–169). Rotterdam: Sense Publishers.

von Neumann, J. (1951). The general and logical theory of automata, in. In L. A. Jeffress (Ed.), Cerebral mechanisms of behavior (the Hixon symposium) (pp. 1–41). New York: Wiley.

Wasserman, G. S. (1992). Isomorphism, task dependence, and the multiple meaning theory of neural coding. Biological Signals, 1, 117–142. http://dx.doi.org/10.1159/000109318


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