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  1. Michael Richter & Ran Spiegler, Festschrift.
    Foreword by Julian Assange............................................................................................. .. 4 Introduction........................................................................................ ................................. 5 Correspondence with Academic Journals........................................................................... 6..
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  2. Ran Spiegler, The Ariel Rubinstein Seminar Comment Generator.
    In this short article I proudly present ARSECOG: The Ariel Rubinstein Seminar Comment Generator. This is an AI program in the style of ELIZA. However, instead of simulating a psychotherapist, it simulates the eminent economist Ariel Rubinstein. Prof. Rubinstein is renowned for his insightful and penetrating comments during research seminars. I am sure many of us, who envy his capabilities in this department, would find a program such as ARSECOG quite useful.
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  3. Ran Spiegler, Competition Over Agents with Boundedly Rational Expectations.
    I study a market model in which profit-maximizing firms compete in multidimensional pricing strategies over a consumer, who is limited in his ability to grasp such complicated objects and therefore uses a sampling procedure to evaluate them. Firms respond to increased competition with an increased effort to obfuscate, rather than with more competitive pricing. As a result, consumer welfare is not enhanced and may even deteriorate. Specifically, when firms control both the price and the quality of each dimension, and there (...)
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  4. Ran Spiegler (2011). 'But Can't We Get the Same Thing with a Standard Model?' Rationalizing Bounded-Rationality Models. Economics and Philosophy 27 (1):23-43.
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  5. Ran Spiegler (2008). Comments on the Potential Significance of Neuroeconomics for Economic Theory. Economics and Philosophy 24 (3):515-521.
    In this short note I speculate about the various ways in which the study of neurological aspects of decision making could be fruitful for economic modelling.
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  6. Ran Spiegler (2001). Inferring a Linear Ordering Over a Power Set. Theory and Decision 51 (1):31-49.
    An observer attempts to infer the unobserved ranking of two ideal objects, A and B, from observed rankings in which these objects are `accompanied' by `noise' components, C and D. In the first ranking, A is accompanied by C and B is accompanied by D, while in the second ranking, A is accompanied by D and B is accompanied by C. In both rankings, noisy-A is ranked above noisy-B. The observer infers that ideal-A is ranked above ideal-B. This commonly used (...)
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