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  1. Cognitive and Social Action.Rosaria Conte & Cristiano Castelfranchi - 1995 - Psychology Press.
    This monograph addresses the worlds of social science theory and artificial intelligence AI. The book examines the interaction of individual cognitive factors and social influence on human action and discusses the implications for developments in artificial intelligence.; This book is intended for graduate and research level artificial intelligence and social science theory including sociology, economics, psychology.
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  • Nonconsequentialist decisions.Jonathan Baron - 1994 - Behavioral and Brain Sciences 17 (1):1-10. Translated by Jonathan Baron.
    According to a simple form of consequentialism, we should base decisions on our judgments about their consequences for achieving our goals. Our goals give us reason to endorse consequentialism as a standard of decision making. Alternative standards invariably lead to consequences that are less good in this sense. Yet some people knowingly follow decision rules that violate consequentialism. For example, they prefer harmful omissions to less harmful acts, they favor the status quo over alternatives they would otherwise judge to be (...)
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  • The Foundations of Statistics.Leonard Savage - 1954 - Wiley Publications in Statistics.
    Classic analysis of the subject and the development of personal probability; one of the greatest controversies in modern statistcal thought.
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  • (1 other version)The Foundations of Statistics.Leonard J. Savage - 1954 - Synthese 11 (1):86-89.
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  • Morality and Rational Choice.J. Baron - 1993 - Springer Verlag.
    This book develops and defends a version of utilitarianism, including expected-utility theory, as a normative model of decision making. The defense, based on the idea of utility as achievement of goals, considers the endorsement of a norm as a decision and asks what reasons we have to endorse norms for decision making. The reasons derive from our pre-existing goals, so any norm we endorse must not fly in the face of these goals, although it must not be selfishly biased, either. (...)
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  • (1 other version)The Foundations of Statistics.Leonard J. Savage - 1956 - Philosophy of Science 23 (2):166-166.
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