The Heuristic Power of Representation in Descartes
Reflections on its Role in Thermodynamics
DOI:
https://doi.org/10.38128/cienciayfilosofa.v13i14.105Keywords:
Autonomous Machine, Mechanized Geometry, Analytical Geometry, Representation and Heuristic Power, Representations of ThermodynamicsAbstract
In numerous scholarly works, we emphasize the significance and centrality of the concept of representation, along with its heuristic function, in advancing scientific progress. This study aims to explore the origins of this concept in Descartes' method, which linked geometry to autonomous mechanisms and subsequently translated these connections into algebraic language through the development of analytical geometry. By recognizing autonomous machines as a fundamental metaphor within Cartesianism, the epistemological notion of representation is understood as a decomposition of language and program, thereby acquiring an operational dimension. Through a revisitation of Carnot's theory, this work examines how he formulated a representation to address the problem of maximizing the efficiency of heat engines and how this representation evolved over subsequent decades. These developments led to the emergence of representations with progressively greater heuristic power, revealing a striking parallel with Cartesian design principles. This parallel serves to particularize Duhem's thesis on the history of physics, which posits that physical theories evolve to represent experimental laws through structures of increasing heuristic efficacy.
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