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  1. 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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  • Frames, concepts, and conceptual fields.J. R. Busemeyer - 1992 - In Adrienne Lehrer & Eva Feder Kittay (eds.), Frames, fields, and contrasts: new essays in semantic and lexical organization. Hillsdale, N.J.: L. Erlbaum Associates.
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  • Neurophilosophy: Toward A Unified Science of the Mind-Brain.Patricia Smith Churchland - 1986 - MIT Press.
    This is a unique book. It is excellently written, crammed with information, wise and a pleasure to read.' ---Daniel C. Dennett, Tufts University.
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  • Decision field theory: A dynamic-cognitive approach to decision making in an uncertain environment.Jerome R. Busemeyer & James T. Townsend - 1993 - Psychological Review 100 (3):432-459.
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  • Frustrative nonreward in partial reinforcement and discrimination learning: Some recent history and a theoretical extension.Abram Amsel - 1962 - Psychological Review 69 (4):306-328.
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  • An opponent-process theory of motivation: I. Temporal dynamics of affect.Richard L. Solomon & John D. Corbit - 1974 - Psychological Review 81 (2):119-145.
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  • Economics: mathematical politics or science of diminishing returns?Alexander Rosenberg - 1992 - Chicago: University of Chicago Press.
    Economics today cannot predict the likely outcome of specific events any better than it could in the time of Adam Smith. This is Alexander Rosenberg's controversial challenge to the scientific status of economics. Rosenberg explains that the defining characteristic of any science is predictive improvability--the capacity to create more precise forecasts by evaluating the success of earlier predictions--and he forcefully argues that because economics has not been able to increase its predictive power for over two centuries, it is not a (...)
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  • Principles of Behavior. An Introduction to Behavior Theory. [REVIEW]E. N. - 1943 - Journal of Philosophy 40 (20):558-559.
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  • Neural dynamics of decision making under risk: Affective balance and cognitive-emotional interactions.Stephen Grossberg & William E. Gutowski - 1987 - Psychological Review 94 (3):300-318.
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  • How does a brain build a cognitive code?Stephen Grossberg - 1980 - Psychological Review 87 (1):1-51.
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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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  • Utility Theories: Measurements and Applications.Ward Edwards & John D. Mullen - 1994 - Philosophy of Science 61 (3):487-490.
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