Is a closed-loop discovery system feasible?

In order to construct scientifically reasoning artifacts we not only have to close the loop between hypothesis generation and evaluation but also to make the system embodied. To genuinely understand scientific insights, “robot scientists” need to represent scientific knowledge within their own representational structure rather than in terms of a priori defined logical propositions. Two main features of such systems are identified: projective constructivism that reverses the flow of information processing, and cognitive canalization that reduces computational requirements.

[1]  Herbert A. Simon,et al.  Scientific discovery: compulalional explorations of the creative process , 1987 .

[2]  John R. Searle,et al.  Minds, brains, and programs , 1980, Behavioral and Brain Sciences.

[3]  Christopher H. Bryant,et al.  Functional genomic hypothesis generation and experimentation by a robot scientist , 2004, Nature.

[4]  Daniel C. Dennett,et al.  Cognitive Wheels: The Frame Problem of AI , 1990, The Philosophy of Artificial Intelligence.

[5]  Herbert A. Simon,et al.  The Sciences of the Artificial , 1970 .

[6]  Alexander Riegler,et al.  THE COGNITIVE RATCHET - THE RATCHET EFFECT AS A FUNDAMENTAL PRINCIPLE IN EVOLUTION AND COGNITION , 2001, Cybern. Syst..

[7]  Alexander Riegler,et al.  Towards a Radical Constructivist Understanding of Science , 2001 .

[8]  Percy Williams Bridgman,et al.  The Logic of Modern Physics , 1927 .

[9]  Alexander Riegler,et al.  "The End of Science": Can We Overcome Cognitive Limitations? , 1998 .

[10]  Alexander Riegler.  Constructivist artificial life , 1994 .

[11]  S. Stich,et al.  The cognitive basis of science , 2002 .

[12]  K. Appel,et al.  The Solution of the Four-Color-Map Problem , 1977 .

[13]  F. Hayes-Roth.  Using Proofs and Refutations to Learn from Experience , 1983 .

[14]  Marco Bettoni.  Constructivist foundations of modeling—A Kantian perspective , 1997 .

[15]  Alexander Riegler,et al.  When is a cognitive system embodied? , 2002, Cognitive Systems Research.

[16]  H. Simon,et al.  Perception in chess , 1973 .

[17]  R. Giere.  Cognitive Models of Science , 1992 .

[18]  J. Piaget.  The construction of reality in the child , 1954 .

[19]  Stephen Muggleton,et al.  Combining active learning with inductive logicprogramming to close the loop in machine learning , 1999 .

[20]  N. Chater,et al.  Simplicity: a unifying principle in cognitive science? , 2003, Trends in Cognitive Sciences.

[21]  C. Hookway,et al.  Minds, machines, and evolution : philosophical studies , 1984 .

[22]  J. Gerard Wolff,et al.  Language acquisition, data compression and generalization , 1982 .

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

[24]  Herbert A. Simon,et al.  Scientific discovery , 1993, BMJ : British Medical Journal.

[25]  E. Wigner.  The Unreasonable Effectiveness of Mathematics in the Natural Sciences (reprint) , 1960 .

[26]  P. Schyns,et al.  Superstitious Perceptions Reveal Properties of Internal Representations , 2003, Psychological science.

[27]  B. Skinner.  Superstition in the pigeon. , 1948, Journal of experimental psychology.