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  1. Probabilistic Reasoning in Intelligent Systems: Networks of Plausible Inference.Judea Pearl - 1988 - Morgan Kaufmann.
    The book can also be used as an excellent text for graduate-level courses in AI, operations research, or applied probability.
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  • Appraisal Processes in Emotion: Theory, Methods, Research.Klaus R. Scherer, Angela Schorr & Tom Johnstone (eds.) - 2001 - Oup Usa.
    Appraisal theory has become one of the most active aproaches in the domain of emotion psychology. The appraisal process consists of the subjective evaluation that occurs during the individual's encounter with significant events in the environment, determining the nature of the emotional reaction and experience. The organism's interpretation of events and situations elicits and differentiates its emotional responses, although the exact processes involved and the limits of the theory are still a matter of debate and are currently the object of (...)
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  • Support theory: A nonextensional representation of subjective probability.Amos Tversky & Derek J. Koehler - 1994 - Psychological Review 101 (4):547-567.
  • Judgment under Uncertainty: Heuristics and Biases.Amos Tversky & Daniel Kahneman - 1974 - Science 185 (4157):1124-1131.
    This article described three heuristics that are employed in making judgements under uncertainty: representativeness, which is usually employed when people are asked to judge the probability that an object or event A belongs to class or process B; availability of instances or scenarios, which is often employed when people are asked to assess the frequency of a class or the plausibility of a particular development; and adjustment from an anchor, which is usually employed in numerical prediction when a relevant value (...)
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  • Explanatory coherence (plus commentary).Paul Thagard - 1989 - Behavioral and Brain Sciences 12 (3):435-467.
    This target article presents a new computational theory of explanatory coherence that applies to the acceptance and rejection of scientific hypotheses as well as to reasoning in everyday life, The theory consists of seven principles that establish relations of local coherence between a hypothesis and other propositions. A hypothesis coheres with propositions that it explains, or that explain it, or that participate with it in explaining other propositions, or that offer analogous explanations. Propositions are incoherent with each other if they (...)
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  • Coherence as Constraint Satisfaction.Paul Thagard & Karsten Verbeurgt - 1998 - Cognitive Science 22 (1):1-24.
    This paper provides a computational characterization of coherence that applies to a wide range of philosophical problems and psychological phenomena. Maximizing coherence is a matter of maximizing satisfaction of a set of positive and negative constraints. After comparing five algorithms for maximizing coherence, we show how our characterization of coherence overcomes traditional philosophical objections about circularity and truth.
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  • Reasoning in explanation-based decision making.N. Pennington - 1993 - Cognition 49 (1-2):123-163.
  • Evaluation of environmental problems: A coherence model of cognition and emotion.Josef Nerb & Hans Spada - 2001 - Cognition and Emotion 15 (4):521-551.
  • How Scientists Explain Disease.Paul Thagard - 1999 - Princeton University Press.
    "This is a wonderful book! In "How Scientists Explain Disease," Paul Thagard offers us a delightful essay combining science, its history, philosophy, and sociology.
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  • Conceptual Revolutions.Paul Thagard - 1992 - Princeton: Princeton University Press.
  • The Cognitive Basis of Science.Paul R. Thagard - 2002 - Cambridge: Cambridge University Press.
     
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  • Judgment Under Uncertainty: Heuristics and Biases.Daniel Kahneman, Paul Slovic & Amos Tversky (eds.) - 1982 - Cambridge University Press.
    The thirty-five chapters in this book describe various judgmental heuristics and the biases they produce, not only in laboratory experiments but in important...
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  • Descartes' Error: Emotion, Reason, and the Human Brain.Antonio R. Damasio - 1994 - Putnam.
    Linking the process of rational decision making to emotions, an award-winning scientist who has done extensive research with brain-damaged patients notes the dependence of thought processes on feelings and the body's survival-oriented regulators. 50,000 first printing.
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  • Emotional Gestalts: Appraisal, Change, and the Dynamics of Affect.Paul Thagard - unknown
    This article interprets emotional change as a transition in a complex dynamical sys- tem. We argue that the appropriate kind of dynamical system is one that extends recent work on how neural networks can perform parallel constraint satisfaction. Parallel processes that integrate both cognitive and affective constraints can give rise to states that we call emotional gestalts, and transitions can be understood as emotional ges- talt shifts. We describe computational models that simulate such phenomena in ways that show how dynamical (...)
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  • Thagard’s coherentism. [REVIEW]Majid Amini - 2000 - Philosophical Books 43 (2):136-140.
  • Descartes’ error: Emotion, rationality and the human brain.Antonio Damasio - 1994 - New York: Putnam 352.
     
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  • The passionate scientist: Emotion in scientific cognition.Paul R. Thagard - 2002 - In Peter Carruthers, Stephen P. Stich & Michael Siegal (eds.), The Cognitive Basis of Science. Cambridge: Cambridge University Press. pp. 235.
    Since Plato, most philosophers have drawn a sharp line between reason and emotion, assuming that emotions interfere with rationality and have nothing to contribute to good reasoning. In his dialogue the Phaedrus, Plato compared the rational part of the soul to a charioteer who must control his steeds, which correspond to the emotional parts of the soul (Plato 1961, p. 499). Today, scientists are often taken as the paragons of rationality, and scientific thought is generally assumed to be independent of (...)
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