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Rather than assuming that there were predestinated a priori mental structures that could not be automatically reconstructed, in empirism one assumes that knowledge emerges from observations. Along the extremely reductionistic and simplistic lines of reasoning that are here adopted, the goal is to ﬁnd the data structures starting from tabula rasa: no specialized data structures exist. This starting point parallels with the approach of David Hume: all concepts and mental constructs must have direct correspondence with observations, either directly or indirectly.
Schyns, A modular neural network model of concept acquisition. Cognitive Science, 15: 461–508, 1991. 20 Artiﬁcial Intelligence 62. J. Sterman, Business Dynamics: Systems Thinking and Modeling for a Complex World. New York: Irwin/McGraw-Hill, 2000. 63. C. ), Encyclopedia of Artiﬁcial Intelligence, Vols. 1–2. New York: John Wiley & Sons, 1987. 64. G. Shafer andJ. ), Uncertain Reasoning. Los Altos, California: Morgan Kaufmann Publishers, 1990. 65. A. Simon, The Sciences of the Artiﬁcial, 3rd ed. Cambridge, Massachusetts: MIT Press, 1996.