The Experts below are selected from a list of 324 Experts worldwide ranked by ideXlab platform
Federico Ferretti - One of the best experts on this subject based on the ideXlab platform.
-
traveling in lifeworlds new perspectives on post humanism situated subjectivities and agency from a travel diary
Annals of the American Association of Geographers, 2020Co-Authors: Federico FerrettiAbstract:This article argues for building bridges between humanistic geographical traditions and current posthumanistic approaches destabilizing the centrality and the very Epistemological Status of the hum...
Mathieu J. Carlson - One of the best experts on this subject based on the ideXlab platform.
-
The Epistemological Status of Ricardo's Labor Theory
History of Political Economy, 1994Co-Authors: Mathieu J. CarlsonAbstract:Dans le contexte des differentes visions de la problematique de la valeur, il existe deux questions, et respectivement deux approches, qui tendent a se confondre: la premiere concerne la source de la valeur echangeable; la deuxieme porte sur la mesure appropriee de la valeur echangeable. L'A. s'interroge: quelle approche caracterise le mieux la theorie de la valeur de David Ricardo?
Diego F. Torres - One of the best experts on this subject based on the ideXlab platform.
-
Ultimate Paradoxes of Time Travel
Astrobiology, 2000Co-Authors: Gustavo E. Romero, Diego F. TorresAbstract:We briefly present some paradoxes of time travel, and discuss their possible solutions. We also analyze the Epistemological Status of the Principle of Self-consistency.
Gustavo E. Romero - One of the best experts on this subject based on the ideXlab platform.
-
Ultimate Paradoxes of Time Travel
Astrobiology, 2000Co-Authors: Gustavo E. Romero, Diego F. TorresAbstract:We briefly present some paradoxes of time travel, and discuss their possible solutions. We also analyze the Epistemological Status of the Principle of Self-consistency.
Eckhart Arnold - One of the best experts on this subject based on the ideXlab platform.
-
Tools of Toys? On Specific Challenges for Modeling and the Epistemology of Models and Computer Simulations in the Social Sciences
2010Co-Authors: Eckhart ArnoldAbstract:Mathematical models are a well established tool in most natural sciences. Although models have been neglected by the philosophy of science for a long time, their Epistemological Status as a link between theory and reality is now fairly well understood. However, regarding the Epistemological Status of mathematical models in the social sciences, there still exists a considerable unclarity. In my paper I argue that this results from specific challenges that mathematical models and especially computer simulations face in the social sciences. The most important difference between the social sciences and the natural sciences with respect to modeling is that in the social sciences powerful and well confirmed background theories (like Newtonian mechanics, quantum mechanics or the theory of relativity in physics) do not exist in the social sciences. Therefore, an epistemology of models that is formed on the role model of physics may not be appropriate for the social sciences. I discuss the challenges that modeling faces in the social sciences and point out their Epistemological consequences. The most important consequences are that greater emphasis must be placed on empirical validation than on theoretical validation and that the relevance of purely theoretical simulations is strongly limited.
-
On Specific Challenges for Modeling and the Epistemology of Models and Computer Simulations in the Social Sciences
2010Co-Authors: Eckhart ArnoldAbstract:Mathematical models are a well established tool in most natural sciences. Although models have been neglected by the philosophy of science for a long time, their Epistemological Status as a link between the- ory and reality is now fairly well understood. However, regarding the Epistemological Status of mathematical models in the social sciences, there still exists a considerable unclarity. In my paper I argue that this results from specific challenges that mathematical models and especially computer simulations face in the social sciences. The most important difference between the social sciences and the natural sciences with respect to modeling is that in the social sciences powerful and well confirmed background theories (like Newtonian mechanics, quantum mechanics or the theory of relativity in physics) do not exist in the social sciences. Therefore, an epistemology of models that is formed on the role model of physics may not be appropriate for the social sciences. I discuss the challenges that modeling faces in the social sciences and point out their Epistemological consequences. The most important consequences are that greater emphasis must be placed on empirical validation than on theoretical validation and that the relevance of purely theoretical simulations is strongly limited.