Is a closed-loop discovery system feasible? (2006)
Alexander Riegler
In: Magnani, L. (ed.) Computing and philosophy. Associated International Academic Publishers: Pavia, pp. 141-149
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.
@inbook{Riegler41,
author = {Riegler A.},
title = {Is a closed-loop discovery system feasible?},
year = {2006},
URL = {https://constructivist.info/riegler/41},
editor = {Magnani, L.}
booktitle = {Computing and philosophy}
publisher = {Associated International Academic Publishers}
place = {Pavia}
pages = {141--149}
}
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%A Riegler A.
%T Is a closed-loop discovery system feasible?
%D 2006
%U https://constructivist.info/riegler/41
%E Magnani, L.
%B Computing and philosophy
%I Associated International Academic Publishers
%C Pavia
%P 141-149
%X 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.
%2 artificial intelligence
%2 philosophy of science
PT - CHAP
A1 - Riegler A.
T1 - Is a closed-loop discovery system feasible?
Y1 - 2006
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AB - 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.
ER -
Riegler A. (2006) Is a closed-loop discovery system feasible? In: Magnani, L. (ed.) Computing and philosophy. Associated International Academic Publishers: Pavia, pp. 141–149. Available at https://constructivist.info/riegler/41