Results 21 to 30 of about 23,926 (271)
When less is more in the recognition heuristic [PDF]
Judgment and Decision Making, 2010 The “less is more effect” (LIME) occurs when a recognition-dependent agent has a greater probability of choosing the better item than a more knowledgeable agent who recognizes more items. Goldstein and Gigerenzer (2002) define α as the probability that a
Michael Smithson +3 more
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On the role of recognition in consumer choice: A model comparison
Judgment and Decision Making, 2014 One prominent model in the realm of memory-based judgments and decisions is the recognition heuristic. Under certain preconditions, it presumes that choices are based on recognition in a one-cue non-compensatory manner and that other information is ...
Benjamin E. Hilbig
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The devil you know: The effect of brand recognition and product ratings on consumer choice
Judgment and Decision Making, 2013 Previous research on the role of recognition in decision-making in inferential choice has focussed on the Recognition Heuristic (RH), which proposes that in situations where recognition is predictive of a decision criterion, recognized objects will be ...
Volker Thoma, Alwyn Williams
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Recognition judgments and the performance of the recognition heuristic depend on the size of the reference class [PDF]
Judgment and Decision Making, 2011 In a series of three experiments, participants made inferences about which one of a pair of two objects scored higher on a criterion. The first experiment was designed to contrast the prediction of Probabilistic Mental Model theory (Gigerenzer, Hoffrage,
Ulrich Hoffrage
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The Simple Life: New experimental tests of the recognition heuristic
Judgment and Decision Making, 2016 The recognition heuristic (RH) is a hypothesized decision strategy that is assumed to enable individuals to make decisions quickly and with minimal effort. To further test this hypothesized strategy, an experiment assessed the proportion of RH-consistent
Zachariah Basehore, Richard B. Anderson
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Further evidence for the memory state heuristic: Recognition latency predictions for binary inferences [PDF]
Judgment and Decision Making, 2017 According to the recognition heuristic (RH), for decision domains where recognition is a valid predictor of a choice criterion, recognition alone is used to make inferences whenever one object is recognized and the other is not, irrespective of further ...
Marta Castela, Edgar Erdfelder
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A marketing science perspective on recognition-based heuristics (and the fast-and-frugal paradigm)
Judgment and Decision Making, 2011 Marketing science seeks to prescribe better marketing strategies (advertising, product development, pricing, etc.). To do so we rely on models of consumer decisions grounded in empirical observations.
John Hauser +3 more
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Heuristics for Planning, Plan Recognition and Parsing
CoRR, 2016 In a recent paper, we have shown that Plan Recognition over STRIPS can be formulated and solved using Classical Planning heuristics and algorithms. In this work, we show that this formulation subsumes the standard formulation of Plan Recognition over libraries through a compilation of libraries into STRIPS theories.
Miquel Ramírez, Hector Geffner
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Landmark-Based Heuristics for Goal Recognition
Proceedings of the AAAI Conference on Artificial Intelligence, 2017 Automated planning can be used to efficiently recognize goals and plans from partial or full observed action sequences. In this paper, we propose goal recognition heuristics that rely on information from planning landmarks - facts or actions that must occur if a plan is to achieve a goal when starting from some initial state. We develop
Pereira, Ramon Fraga +2 more
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Why recognition is rational: Optimality results on single-variable decision rules
Judgment and Decision Making, 2010 The Recognition Heuristic (Gigerenzer & Goldstein, 1996; Goldstein & Gigerenzer, 2002) makes the counter-intuitive prediction that a decision maker utilizing less information may do as well as, or outperform, an idealized decision maker utilizing more ...
Clintin P. Davis-Stober +5 more
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