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  1. Artificial Intelligence: A Modern Approach.Stuart Jonathan Russell & Peter Norvig (eds.) - 1995 - Prentice-Hall.
    Artificial Intelligence: A Modern Approach, 3e offers the most comprehensive, up-to-date introduction to the theory and practice of artificial intelligence. Number one in its field, this textbook is ideal for one or two-semester, undergraduate or graduate-level courses in Artificial Intelligence. Dr. Peter Norvig, contributing Artificial Intelligence author and Professor Sebastian Thrun, a Pearson author are offering a free online course at Stanford University on artificial intelligence. According to an article in The New York Times, the course on artificial intelligence is (...)
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  • Theory of Games and Economic Behavior.David Hawkins - 1945 - Philosophy of Science 12 (3):221-227.
    The literature of economic theory, like that of philosophy, abounds in prefaces and prolegomena. Methodology and analysis of concepts take an important place in a science which has not found the sure path of development. But there is no sure path for methodology either. The selfconscious methodology of social science has been largely a borrowing from that of physical science, where procedures have developed to a stage of considerable maturity. But the analogy falls down where guidance is most needed, at (...)
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  • A Comparison of Sequential Sampling Models for Two-Choice Reaction Time.Roger Ratcliff & Philip L. Smith - 2004 - Psychological Review 111 (2):333-367.
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  • The magical number seven, plus or minus two: Some limits on our capacity for processing information.George A. Miller - 1956 - Psychological Review 63 (2):81-97.
  • Negotiating with bounded rational agents in environments with incomplete information using an automated agent.Raz Lin, Sarit Kraus, Jonathan Wilkenfeld & James Barry - 2008 - Artificial Intelligence 172 (6-7):823-851.
  • Reasoning the fast and frugal way: Models of bounded rationality.Gerd Gigerenzer & Daniel G. Goldstein - 1996 - Psychological Review 103 (4):650-669.
    Humans and animals make inferences about the world under limited time and knowledge. In contrast, many models of rational inference treat the mind as a Laplacean Demon, equipped with unlimited time, knowledge, and computational might. Following H. Simon's notion of satisficing, the authors have proposed a family of algorithms based on a simple psychological mechanism: one-reason decision making. These fast and frugal algorithms violate fundamental tenets of classical rationality: They neither look up nor integrate all information. By computer simulation, the (...)
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  • Agent decision-making in open mixed networks.Ya'akov Gal, Barbara Grosz, Sarit Kraus, Avi Pfeffer & Stuart Shieber - 2010 - Artificial Intelligence 174 (18):1460-1480.
  • The Strategy of Conflict: With a New Preface by the Author.Thomas C. Schelling - 1960 - Harvard University Press.
    Analyzes the nature of international disagreements and conflict resolution in terms of game theory and non-zero-sum games.
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  • Prospect Theory: An Analysis of Decision Under Risk.D. Kahneman & A. Tversky - 1979 - Econometrica: Journal of the Econometric Society:263--291.
    The following values have no corresponding Zotero field: PB - JSTOR.
     
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