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Abstract
There has been considerable discussion in the past about the assumptions and basis of different ethical rules. For instance, it is commonplace to say that ethical rules are defaults rules, which means that they tolerate exceptions. Some authors argue that morality can only be grounded in particular cases while others defend the existence of general principles related to ethical rules. Our purpose here is not to justify either position, but to try to model general ethical rules with artificial intelligence formalisms and to compute logical consequences of different ethical theories. More precisely, this is an attempt to show that progress in non-monotonic logics, which simulates default reasoning, could provide a way to formalize different ethical conceptions. From a technical point of view, the model developed in this paper makes use of the Answer Set Programming (ASP) formalism. It is applied comparatively to different ethical systems with respect to their attitude towards lying. The advantages of such formalization are two-fold: firstly, to clarify ideas and assumptions, and, secondly, to use solvers to derive consequences of different ethical conceptions automatically, which can help in a rigorous comparison of ethical theories.
Keywords Answer Set Programming (ASP)  categorical imperative  computational ethics  default logic  non-monotonic logic
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DOI 10.1007/s10676-006-9134-y
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References found in this work BETA

Groundwork for the Metaphysics of Morals.Immanuel Kant - 1785/2002 - Oxford University Press.
On the Morality of Artificial Agents.Luciano Floridi & J. W. Sanders - 2004 - Minds and Machines 14 (3):349-379.
A Logic for Default Reasoning.Ray Reiter - 1980 - Artificial Intelligence 13 (1-2):81-137.
Circumscription — A Form of Non-Monotonic Reasoning.John McCarthy - 1980 - Artificial Intelligence 13 (1-2):27–39.

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Citations of this work BETA

The Generalized Sousveillance Society.Jean-Gabriel Ganascia - 2010 - Social Science Information 49 (3):489-507.

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