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  1. A Generative View of Rationality and Growing Awareness†.Teppo Felin & Jan Koenderink - 2022 - Frontiers in Psychology 13.
    In this paper we contrast bounded and ecological rationality with a proposed alternative, generative rationality. Ecological approaches to rationality build on the idea of humans as “intuitive statisticians” while we argue for a more generative conception of humans as “probing organisms.” We first highlight how ecological rationality’s focus on cues and statistics is problematic for two reasons: the problem of cue salience, and the problem of cue uncertainty. We highlight these problems by revisiting the statistical and cue-based logic that underlies (...)
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  • Herbert A. Simon as a cyborg scientist.Esther-Mirjam Sent - 2000 - Perspectives on Science 8 (4):380-406.
    : This paper discusses how Herbert Simon's initial interest in decision making became transformed into a focus on understanding human problem solving in response to the concrete conditions of the Cold War and the practical goals of the military. In particular, it suggests a connection between the seachange in Simon's interest and his shift in patronage. As a result, Simon is portrayed as a component of the scientific-military World War II cyborg that further evolved during the Cold War. Moving from (...)
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  • How much is control knowledge worth?Jeffrey A. Barnett - 1984 - Artificial Intelligence 22 (1):77-89.
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  • Ordering conjunctive queries.David E. Smith & Michael R. Genesereth - 1985 - Artificial Intelligence 26 (2):171-215.
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  • Controlling backward inference.David E. Smith - 1989 - Artificial Intelligence 39 (2):145-208.
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  • Embedding decision-analytic control in a learning architecture.Oren Etzioni - 1991 - Artificial Intelligence 49 (1-3):129-159.
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  • Deliberation scheduling for problem solving in time-constrained environments.Mark Boddy & Thomas L. Dean - 1994 - Artificial Intelligence 67 (2):245-285.
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  • Proof-number search.L. Victor Allis, Maarten van der Meulen & H. Jaap van den Herik - 1994 - Artificial Intelligence 66 (1):91-124.
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  • Artificial intelligence: an empirical science.Herbert A. Simon - 1995 - Artificial Intelligence 77 (1):95-127.
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  • Predicting Short‐Term Remembering as Boundedly Optimal Strategy Choice.Andrew Howes, Geoffrey B. Duggan, Kiran Kalidindi, Yuan-Chi Tseng & Richard L. Lewis - 2016 - Cognitive Science 40 (5):1192-1223.
    It is known that, on average, people adapt their choice of memory strategy to the subjective utility of interaction. What is not known is whether an individual's choices are boundedly optimal. Two experiments are reported that test the hypothesis that an individual's decisions about the distribution of remembering between internal and external resources are boundedly optimal where optimality is defined relative to experience, cognitive constraints, and reward. The theory makes predictions that are tested against data, not fitted to it. The (...)
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  • Finding optimal satisficing strategies for and-or trees.Russell Greiner, Ryan Hayward, Magdalena Jankowska & Michael Molloy - 2006 - Artificial Intelligence 170 (1):19-58.
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  • Finding optimal derivation strategies in redundant knowledge bases.Russell Greiner - 1991 - Artificial Intelligence 50 (1):95-115.
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  • Probably approximately optimal satisficing strategies.Russell Greiner & Pekka Orponen - 1996 - Artificial Intelligence 82 (1-2):21-44.
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  • PALO: a probabilistic hill-climbing algorithm.Russell Greiner - 1996 - Artificial Intelligence 84 (1-2):177-208.
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