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Individual choice behavior: A theoretical analysis.
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“This follows the Bradley-Terry model (Bradley and Terry, 1952) for estimating score functions from pairwise preferences, and is the specialization of the Luce-Shephard choice rule (Luce, 2005; Shepard, 1957) to preferences over trajectory segments.”
From Deep reinforcement learning from human preferences (2017) · cites this paper as Luce, 2005
In the citing paper
“Research into human choice suggests that both explicit and implicit choices systematically vary based on context, especially the other options that are present when choosing [56–59].”
From Evolution and impact of bias in human and machine learning algorithm interaction (2020) · cites this paper as [56]
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Hynes, S., Hanley, N. D., & O’Donoghue, C. (2008) · Journal of Environmental Management · doi:10.1016/j.jenvman.2008.03.010 · Cited by 52
“The independence of irrelevant alternatives (IIA) assumption (Luce, 1959) assumes that the ratio of probabilities of choosing any set of alternatives remains constant no matter what happens in the remainder of the choice set.”
BackgroundSimilarity judgments and recognition memory for some common spices
Jones, F. N., Roberts, K., & Holman, E. W. (1978) · Perception & Psychophysics · doi:10.3758/bf03202967 · Cited by 52
Mechanisms of decision-making and the interpretation of choice tests
Bateson, M. (2004) · Animal Welfare · doi:10.1017/s0962728600014457 · Cited by 52
“…is determined by the other options in the choice set, is when the option added to the choice set either substitutes for one of the existing options, and thus reduces its value by competing with it, or complements one of the existing options, and thus enhances its value (Debreu 1960; Varian 1996).”
BackgroundAn agent-based choice model for travel mode and departure time and its case study in Beijing
Zou, M., Li, M., Lin, X., et al. (2015) · Transportation Research Part C Emerging Technologies · doi:10.1016/j.trc.2015.06.006 · Cited by 51
Subjective Probability as Sampling Propensity
Icard, T. (2015) · Review of Philosophy and Psychology · doi:10.1007/s13164-015-0283-y · Cited by 54
“It is clear that Luce (1959) intended his rule merely as providing an adequate description of choice behavior (see also Luce and Suppes 1965), rather than as a proposal about mental computations.”
BackgroundMethodInfluentialPricing Decisions During Inter‐Generational Product Transition
Li, H., & Graves, S. C. (2011) · Production and Operations Management · doi:10.1111/j.1937-5956.2010.01216.x · Cited by 51
“The multinomial logit (MNL) model is first proposed by Luce (1959).”
MethodStructural Choice Modelling: Theory and Applications to Combining Choice Experiments
Rungie, C., Coote, L. V., & Louviere, J. J. (2011) · Journal of Choice Modelling · doi:10.1016/s1755-5345(13)70040-x · Cited by 51
Maimani, A. A., & Roudaut, A. (2017) · CHI Conference on Human Factors in Computing Systems · doi:10.1145/3025453.3025655 · Cited by 51
“One of the most widely used models for this purpose is the Bradley-Terry-Luce model [25, 6], which associates an “ability” metric to each condition that has been compared.”
MethodApproximation Methods for Pricing Problems Under the Nested Logit Model with Price Bounds
Rayfield, W. Z., Rusmevichientong, P., & Topaloğlu, H. (2015) · INFORMS journal on computing · doi:10.1287/ijoc.2014.0629 · Cited by 50
“Some of these models are based on axioms describing a sensible behavior of customer choice, as in the basic attraction model of Luce (1959).”
Foulks, G. N., Chalmers, R. L., Keir, N. J., Woods, C. A., SIMPSON, T. L., Lippman, R., Gleason, W., Schaumberg, D. A., Willcox, M. D. P., & Jalbert, I. (2013) · Investigative Ophthalmology & Visual Science · doi:10.1167/iovs.13-13189 · Cited by 50
Preference-based location sharing
Knijnenburg, B. P., Kobsa, A., & Jin, H. (2013) · CHI Conference on Human Factors in Computing Systems · doi:10.1145/2470654.2481369 · Cited by 48
“The fundamental theory of compensatory decision-making is Luce’s choice axiom (LCA) [18,27]: for a rational decision maker, the probability of selecting an item from a pool of items is not affected by the absence or presence of any specific other item.”
BackgroundAdolescents Adapt More Slowly than Adults to Varying Reward Contingencies
Javadi, A., Schmidt, D. H. K., & Smolka, M. N. (2014) · Journal of Cognitive Neuroscience · doi:10.1162/jocn_a_00677 · Cited by 48
“On the basis of behavioral decision theories , decisions are guided by the value assigned to each potential option (Luce, 1959).”
Multiparty spatial competition with probabilistic voting
Adams, J. (1999) · Public Choice · doi:10.1023/a:1018362719595 · Cited by 50
Particle swarm optimization for optimal product line design
Tsafarakis, S., Marinakis, Y., & Matsatsinis, N. F. (2010) · International Journal of Research in Marketing · doi:10.1016/j.ijresmar.2010.05.002 · Cited by 50
Brazier, J., Rowen, D., Yang, Y., et al. (2011) · The European Journal of Health Economics · doi:10.1007/s10198-011-0352-9 · Cited by 50
“Thurstone’s approach has been modified in a number of ways, including the application of a logistic function [17, 18] as a means of modelling the latent utility function from ordinal data.”
AN EXPERIMENTAL STUDY OF COMPLIANCE AND LEVERAGE IN AUDITING AND REGULATORY ENFORCEMENT
Cason, T. N., & Gangadharan, L. (2005) · Economic Inquiry · doi:10.1093/ei/cbj019 · Cited by 50
“We use the logit form of the quantal choice model first introduced by Luce (1959) and popularized more recently by McKelvey and Palfrey (1995) in a game-theoretic context as a quantal response equilibrium.”
Bounded Rationality and Socially Optimal Limits on Choice in a Self-Selection ModelPreprint
Sheshinski, E. (2003) · SSRN Electronic Journal · doi:10.2139/ssrn.385122 · Cited by 48
“2 Luce (1959) proposed a model of ‘bounded-rationality’ in which individuals attempt to maximize utility but make errors in the decision process.”
BackgroundInfluentialThe Asymmetric Share Effect: An Empirical Generalization on Cross-Price Effects
Sethuraman, R., & Srinivasan, V. (2002) · Journal of Marketing Research · doi:10.1509/jmkr.39.3.379.19109 · Cited by 49
“Whereas our theory follows from Luce’s (1959) choice model, Abe (1998) offers an alternative explanation for the asymmetric share effect based on a distribution of relative intrinsic preferences.”
MethodThe role of regret minimisation in lifestyle choices affecting the risk of coronary heart disease
Boeri, M., Longo, A., Grisolía, J. M., Hutchinson, G., & Kee, F. (2012) · Journal of Health Economics · doi:10.1016/j.jhealeco.2012.10.007 · Cited by 48
“The simplest and most popular RUM is the Multinomial Logit Model (RU-MNL), developed by Luce (1959), Marschak (1960) and McFadden (1974).1 1 Other RUMs have been developed to overcome some limitations of the RU-MNL.”
MethodBernardin, V. L., Koppelman, F. S., & Boyce, D. E. (2009) · Transportation Research Record Journal of the Transportation Research Board · doi:10.3141/2132-16 · Cited by 47
“In the 1970s the multinomial logit (MNL) model originally proposed by Luce (9) and grounded in utility maximization by Marschak (10) was applied to model travelers’ destination choices in academic research (11–13).”
MethodIdeal Point Discriminant Analysis
Takane, Y., Bozdogan, H., & Shibayama, T. (1987) · Psychometrika · doi:10.1007/bf02294362 · Cited by 48
Accounting for Varying Setting Preferences Among Moose Hunters
Hunt, L. M., Haider, W., & Bottan, B. (2005) · Leisure Sciences · doi:10.1080/01490400590930943 · Cited by 47
“This independence of irrelevant alternatives (IIA) property (Luce, 1959) induces a very limited pattern of substitution among the alternatives within a multinomial logit (MNL) model.”
BackgroundInvestigating public preferences for managing Lake Champlain using a choice experiment
Smyth, R. L., Watzin, M. C., & Manning, R. E. (2008) · Journal of Environmental Management · doi:10.1016/j.jenvman.2007.12.016 · Cited by 47
Visual Attention Saccadic Models Learn to Emulate Gaze Patterns From Childhood to Adulthood
Meur, O. L., Coutrot, A., Liu, Z., Pia Rämä, A., Roch, A. L., & Helo, A. (2017) · IEEE Transactions on Image Processing · doi:10.1109/tip.2017.2722238 · Cited by 50
“This form of stochastic selection is also known as Luce’s choice rule [33].”
Maciejovsky, B., Budescu, D. V., & Ariely, D. (2008) · Marketing Science · doi:10.1287/mksc.1080.0406 · Cited by 47
THE USE OF MORE REALISTIC UTILITY FUNCTIONS IN EDUCATIONAL APPLICATIONS
Novick, M. R., & Lindley, D. V. (1978) · Journal of Educational Measurement · doi:10.1111/j.1745-3984.1978.tb00067.x · Cited by 44
The landscape benefits of the burial of high voltage power lines: A study in rural areas of Italy
Tempesta, T., Vecchiato, D., & Girardi, P. (2014) · Landscape and Urban Planning · doi:10.1016/j.landurbplan.2014.03.003 · Cited by 46
A flexible generative model for preference aggregation
Volkovs, M., & Zemel, R. S. (2012) · International World Wide Web Conference (WWW) · doi:10.1145/2187836.2187902 · Cited by 48
“To avoid some of these drawbacks, the Bradley-Terry model was generalized by Plackett and Luce [22, 17] to a model for permutations: The generative process behind the Plackett-Luce model assumes that items are selected sequentially without replacement.”
BackgroundMethodSubjective evaluation of scalable video coding for content distribution
Lee, J., Simone, F., Ramzan, N., et al. (2010) · ACM International Conference on Multimedia (ACM MM) · doi:10.1145/1873951.1873981 · Cited by 46
“In order to obtain continuous scale quality score values for Ri’s from the matrix of winning frequencies, we used the Bradley-Terry-Luce (BTL) model that is frequently applied for analysis of pair comparison data [3, 6].”
MethodSelf‐Directed Learning Favors Local, Rather Than Global, Uncertainty
Markant, D. B., Settles, B., & Gureckis, T. M. (2015) · Cognitive Science · doi:10.1111/cogs.12220 · Cited by 44
Consumer Preferences for Solar Energy: A Choice Experiment Study
Mamkhezri, J., Thacher, J., & Chermak, J. M. (2020) · Energy Journal · doi:10.5547/01956574.41.5.jmam · Cited by 41
“RUM assumes individual utility function contains an observable component (indirect utility) and a stochastic error term.”
MethodThe effect of consumer ratings and attentional allocation on product valuations
Ashby, N. J. S., Walasek, L., & Glöckner, A. (2015) · Judgment and Decision Making · doi:10.1017/s1930297500003934 · Cited by 45
“, accumulation of evidence over time) and common choice rules (Luce, 1959), which other variables such as simple fixation counts do not, providing further justification for our use of LGP.”
BackgroundDiscrete choice and stochastic utility maximization
Koning, R. H., & Ridder, G. (2003) · Econometrics Journal · doi:10.1111/1368-423x.00097 · Cited by 46
“McFadden (1981) explores this analogy which, of course, is not complete, because random utility models do not assume that agents have identical preferences.”
InfluentialRaghavan, M. (2023) · ACM eBooks · doi:10.1145/3603195.3603207 · Cited by 49
Singla, A. K., Tschiatschek, S., & Krause, A. (2016) · AAAI Publications (The Association for the Advancement of Artificial Intelligence (AAAI)) · doi:10.1609/aaai.v30i1.10207 · Cited by 45
“For instance, the distribution induced by the commonly used Bradley-Terry-Luce preference model (Bradley and Terry 1952; Luce 1959) satisfies these conditions.”
The Ongoing Dialog between Empirical Science and Measurement Theory
Luce, R. D. (1996) · Journal of Mathematical Psychology · doi:10.1006/jmps.1996.0005 · Cited by 44
Self-citationRhim, H., & Cooper, L. G. (2005) · International Journal of Research in Marketing · doi:10.1016/j.ijresmar.2004.06.005 · Cited by 45
Geometric Representation of Association between Categories
Heiser, W. J. (2004) · Psychometrika · doi:10.1007/bf02289854 · Cited by 44
A Semantic Imitation Model of Social Tag Choices
Fu, W., Kannampallil, T., & Kang, R. (2009) · doi:10.1109/cse.2009.382 · Cited by 44
“RUM (or some variations of it) has been used to simulate human choice process as a function of utilities of the existing alternatives [2, 8, 14], and has shown to be robust in characterizing the stochastic nature of human choices.”
MethodOn Discrimination Discovery and Removal in Ranked Data using Causal Graph
Wu, Y., Zhang, L., & Wu, X. (2018) · ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD) · doi:10.1145/3219819.3220087 · Cited by 44
“he causal-based fair ranking algorithms. In data science, it is well-studied in data mining how to model a ranking using a continuous score space [23]. Several models, such as the Plackett-Luce model [21, 26], the Mallows model [22] and the Bradley-Terry model [6], are widely used in this field. In this work, we adopt…”
MethodA Generalized Measurement Model to Quantify Health: The Multi-Attribute Preference Response Model
Krabbe, P. F. M. (2013) · PLoS ONE · doi:10.1371/journal.pone.0079494 · Cited by 44
“Luce’s choice axiom states that the probability of selecting one item over another from a pool of many items is not affected by the presence or absence of other items in the pool (IIA assumption).”
MethodInfluentialElicitation and approximately stable matching with partial preferences
Drummond, J., & Boutilier, C. E. (2013) · Cited by 46
Trust-Discount Tradeoff in Three Contexts: Frugality Moderating Privacy and Security Concerns
Bansal, G., & Zahedi, F. M. (2014) · Journal of Computer Information Systems · doi:10.1080/08874417.2014.11645737 · Cited by 49
“Furthermore, Utility Theory suggests that individuals make choices by maximizing their utility function, and their choice decisions reflect their personal dispositions [6, 44, 50].”
BackgroundBehera, B., Rahut, D. B., & Sethi, N. (2019) · Utilities Policy · doi:10.1016/j.jup.2019.100996 · Cited by 43
Enriching ImageNet with Human Similarity Judgments and Psychological Embeddings
Roads, B. D., & Love, B. C. (2021) · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · doi:10.1109/cvpr46437.2021.00355 · Cited by 49
“Following [43], the embedding is linked to observed behavior using a Luce’s ratio of strengths formulation [31] that is widely used in psychology [48, 49, 33, 34].”
MethodModeling Choices in Delay Discounting
Wulff, D. U., & van den Bos, W. (2017) · Psychological Science · doi:10.1177/0956797616664342 · Cited by 42
“1 We focused on two specific model adjustments: (a) removing the bias parameter in the heuristic models and (b) implementing a different choice rule for the discounted utility models (Luce, 1959/2005; Pleskac, 2015).”
MethodTransformation and alignment in similarity
Hodgetts, C. J., Hahn, U., & Chater, N. (2009) · Cognition · doi:10.1016/j.cognition.2009.07.010 · Cited by 43
“Crucially, given all pairwise judgments for a set of items, an underlying ratio scale of similarity can be recovered from the individually ordinal judgments (see Luce, 1959).”
Manrai, A. K., & Sinha, P. (1989) · Marketing Science · doi:10.1287/mksc.8.2.133 · Cited by 42
ACCURACY OF DISCRIMINATION, RATE OF RESPONDING, AND RESISTANCE TO CHANGE
Nevin, J. A., Milo, J., Odum, A. L., et al. (2003) · Journal of the Experimental Analysis of Behavior · doi:10.1901/jeab.2003.79-307 · Cited by 42
Generalized Differentiable RANSAC
Wei, T., Patel, Y., Shekhovtsov, A., Matas, J., & Baráth, D. (2023) · IEEE/CVF International Conference on Computer Vision (ICCV) · doi:10.1109/iccv51070.2023.01618 · Cited by 43
“Namely, the probability to draw a minimal sample ( i 1 , . . . i k ) follows the Plackett-Luce (PL) model [45]: 1 − p ( i 1 ) . . .”
BackgroundHousehold access to water and choice of treatment methods: Empirical evidence from Bhutan
Rahut, D. B., Behera, B., & Ali, A. (2014) · Water Resources and Rural Development · doi:10.1016/j.wrr.2014.09.003 · Cited by 41
Steffens, P., Weeks, C. S., Davidsson, P., & Isaak, L. (2013) · Entrepreneurship Theory and Practice · doi:10.1111/etap.12079 · Cited by 39
“Conjoint analysis is based on individual choice theory (Luce, 1959; McFadden, 1986), that assumes that preference for an object (e.g., a TV) is derived from the sum of part-worths of the underlying attributes of the object (e.g., screen size, brand, price, etc.).”
BackgroundRanking and Suggesting Popular Items
Vojnović, M., Cruise, J. R., Gunawardena, D., et al. (2009) · IEEE Transactions on Knowledge and Data Engineering · doi:10.1109/tkde.2009.34 · Cited by 41
“The model turns out to conform to the user’s choice axioms introduced by Luce [13]; related is also Luce-Shepard model [14, 2].”
MethodConsumer response to monochrome Guideline Daily Amount nutrition labels
Boztuğ, Y., Juhl, H. J., Elshiewy, O., & Jensen, M. B. (2015) · Food Policy · doi:10.1016/j.foodpol.2015.03.002 · Cited by 41
Online rank elicitation for Plackett-Luce: a dueling bandits approach
Szörényi, B., Busa‐Fekete, R., Paul, A., & Hüllermeier, E. (2015) · Open access LMU (Ludwid Maxmilian's Universitat Munchen) · Cited by 39
Carroll, J. D., & Soete, G. D. (1991) · American Psychologist · doi:10.1037/0003-066x.46.4.342 · Cited by 41
Bounded Rationality in Newsvendor ModelsPreprint
Su, X. (2006) · SSRN Electronic Journal · doi:10.2139/ssrn.944155 · Cited by 41
Rational Inattention to Discrete Choices: A New Foundation for the Multinomial Logit ModelPreprint
Matějka, F., & McKay, A. (2011) · SSRN Electronic Journal · doi:10.2139/ssrn.1886964 · Cited by 41
A dynamic paired comparisons model: Who is the greatest tennis player?
Baker, R., & McHale, I. G. (2014) · European Journal of Operational Research · doi:10.1016/j.ejor.2013.12.028 · Cited by 40
“Estimated strength trajectories for five of the greatest tennis players of the Open Era: Roger Federer, Bjorn Borg, Jimmy Connors, Rod Laver and Rafael Nadal. R.D. Baker, I.G. McHale / European Journal of Operational Research 236 (2014) 677–684 683”
BackgroundInfluentialFreedom of Choice, Ease of Use, and the Formation of Interface PreferencesPreprint
Murray, K. B., & Häubl, G. (2010) · SSRN Electronic Journal · doi:10.5555/2208940.2208948 · Cited by 46
Pastor‐Bernier, A., Plott, C. R., & Schultz, W. (2017) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1612010114 · Cited by 39
Determinants of household cooking fuels and their impact on women’s health in rural Pakistan
Imran, M., & Özçatalbaş, O. (2020) · Environmental Science and Pollution Research · doi:10.1007/s11356-020-08701-8 · Cited by 40
“One of the assumptions of multinomial logit (MNL) is relative odds of one alternative chosen over another should be independent of the absence or presence of an unchosen third alternative (Luce 2005).”
BackgroundQuantifying human sensitivity to spatio-temporal information in dynamic faces
Dobs, K., Bülthoff, I., Breidt, M., Vuong, Q. C., Curio, C., & Schultz, J. (2014) · Vision Research · doi:10.1016/j.visres.2014.04.009 · Cited by 40
“In order to compare the objective similarity measures to observers’ choice behavior, we computed choice probabilities based on the three objective similarity measures (Luce, 1959).”
MethodTransposition in pigeons: reassessing spence (1937) with multiple discrimination training
Lazareva, O. F., Wasserman, E. A., & Young, M. E. (2005) · Learning & Behavior · doi:10.3758/bf03196048 · Cited by 39
“(Table 1 shows the results predicted by Luce’s [1959] choice rule from the stimulus generalization gradients depicted in Figures 3 and 4.”
BackgroundMethodInfluentialA MODEL FOR RESIDENCE TIME IN CONCURRENT VARIABLE INTERVAL PERFORMANCE
Navakatikyan, M. (2007) · Journal of the Experimental Analysis of Behavior · doi:10.1901/jeab.2007.01-06 · Cited by 38
Lin, R., Kraus, S., Wilkenfeld, J., et al. (2006) · Cited by 39
A generative model for rank data based on insertion sort algorithm
Biernacki, C., & Jacques, J. (2012) · Computational Statistics & Data Analysis · doi:10.1016/j.csda.2012.08.008 · Cited by 40
“The Plackett-Luce model (Luce, 1959; Plackett, 1975) is then based on the probability that each Oxi is ranked first among the m objects (Marden, 1995, p. 119).”
MethodThe emotional cost of charitable donations
Rubaltelli, E., & Agnoli, S. (2011) · Cognition & Emotion · doi:10.1080/02699931.2011.613921 · Cited by 39
“The attraction effect has been used to show that people’s choices do not conform to the regularity principle, which states that adding a new option to a set of alternatives cannot result in an increase in the share of choice accorded to the original options (Luce, 1959, 1977).”
Decision Theory: The Next 100 Years?
Fishburn, P. C. (1991) · The Economic Journal · doi:10.2307/2233833 · Cited by 39
Prospects behind bars: Analyzing decisions under risk in a prison population
Pachur, T., Hanoch, Y., & Gummerum, M. (2010) · Psychonomic Bulletin & Review · doi:10.3758/pbr.17.5.630 · Cited by 37
What is in It for Me? Identifying Drivers of Blockchain Acceptance among German Consumers
Knauer, F. O., & Mann, A. (2019) · The Journal of British Blockchain Association · doi:10.31585/jbba-3-1-(1)2020 · Cited by 38
“PR extensively consists of the Legend: values represent parameters of a Bradley-Terry-Luce-Test with “Permanent availability” as pre-defined base category.”
MethodTimberlake, W. D., & Wozny, M. C. (1979) · Animal Learning & Behavior · doi:10.3758/bf03209702 · Cited by 39
The Role of Value Systems in Decision Making
Dayan, P. (2008) · The MIT Press eBooks · doi:10.7551/mitpress/7735.003.0006 · Cited by 52
“One conventional abstraction of this stochastic choice is that the probability of executing action c is determined by competition between Q values, as in a form of Luce choice rule ( Luce 1959) or softmax:”
BackgroundMethodModeling Interregional Interaction: Implications for Defining Functional Regions
Noronha, V. T., & Goodchild, M. F. (1992) · Annals of the Association of American Geographers · doi:10.1111/j.1467-8306.1992.tb01899.x · Cited by 38
“This model satisfies the Luce (1959) "irrelevant”
Analysis of Contingency Tables by Ideal Point Discriminant Analysis
Takane, Y. (1987) · Psychometrika · doi:10.1007/bf02294815 · Cited by 38
New learning methods for supervised and unsupervised preference aggregation
Volkovs, M., & Zemel, R. S. (2014) · doi:10.5555/2627435.2638572 · Cited by 35
“To avoid some of these drawbacks, the Bradley-Terry model was generalized by Plackett and Luce (Plackett, 1975; Luce, 1959) to a model for permutations:”
BackgroundMethodInfluentialDong, Y., Liu, W., Chiclana, F., et al. (2019) · Information Sciences · doi:10.1016/j.ins.2019.04.015 · Cited by 37
“3 (1) What are the conditions under which incomplete preference relations are better than complete preference relations? (2) Can self-confident preference relations improve the quality of decision-making? In order to answer these questions, this paper presents a simulation-based investigation with the following featur…”
MethodPartial recovery for top-k ranking: Optimality of MLE and SubOptimality of the spectral method
Chen, P., Gao, C., & Zhang, A. Y. (2022) · The Annals of Statistics · doi:10.1214/21-aos2166 · Cited by 37
Preference-Based Rank Elicitation using Statistical Models: The Case of Mallows
Busa‐Fekete, R., Hüllermeier, E., Szörényi, B., Xing, E. P., & Jebara, T. (2014) · SZTE Publicatio Repozitórium (University of Szeged) · Cited by 35
Hochmair, H. H., & Karlsson, V. (2005) · Lecture notes in computer science · doi:10.1007/978-3-540-32255-9_5 · Cited by 37
“Two classes can be distinguished, depending on the assumptions about the source of uncertainty: Models with stochastic decision rules (Luce 1959) assume a deterministic utility, whereas random utility models (BenAkiva and Bierlaire 1999)—as neoclassical economic theory—assume that the decision maker has perfect discri…”
BackgroundEcott, C. L., & Critchfield, T. S. (2004) · Journal of Applied Behavior Analysis · doi:10.1901/jaba.2004.37-249 · Cited by 37
“gests that, where contingent reinforcement is concerned, adding more alternatives to concurrent schedules does not alter the lessons to be derived about response allocation (Davison & Hunter, 1976; Luce, 1959; Miller & Loveland, 1974; Pliskoff & Brown, 1976).”
BackgroundTimberlake, W. D. (1979) · Animal Learning & Behavior · doi:10.3758/bf03209670 · Cited by 37
An Incomplete Contingency Table Approach to Paired-Comparison Experiments
Imrey, P. B., Johnson, W. D., & Koch, G. G. (1976) · Journal of the American Statistical Association · doi:10.1080/01621459.1976.10481537 · Cited by 37
Choi, A., den Broeck, G. V., & Darwiche, A. Y. (2015) · Lirias · Cited by 38
Perspectives on Modeling in Cognitive Science
Shiffrin, R. M. (2010) · Topics in Cognitive Science · doi:10.1111/j.1756-8765.2010.01092.x · Cited by 35
Computing Parametric Ranking Models via Rank-Breaking
Soufiani, H. A., Parkes, D. C., & Xia, L. (2014) · Digital Access to Scholarship at Harvard (DASH) (Harvard University) · Cited by 37
A Choice Model for the Selection of Computer Vendors and Its Empirical Estimation
Tam, K. Y. (2001) · Journal of Management Information Systems · doi:10.1080/07421222.2001.11045664 · Cited by 33
“Discrete choice theory has been broadly applied to model individuals' choices of discrete alternatives [12, 31, 33, 52].”
BackgroundUtility of gambling I: entropy modified linear weighted utility
Luce, R. D., Ng, C. T., Marley, A. A. J., & Aczél, J. (2007) · Economic Theory · doi:10.1007/s00199-007-0260-5 · Cited by 39
“The following concept was first emphasized by Liu (1995) and used by Luce (2000) and by Luce and Marley (2005).”
BackgroundMethodResultInfluentialSelf-citationPsychological models for relating discrimination and magnitude estimation scales.
Helm, C. E., Messick, S., & Tucker, L. R. (1961) · Psychological Review · doi:10.1037/h0041503 · Cited by 36
Fassbender, C., Houde, S., Silver-Balbus, S., Ballard, K., Kim, B., Rutledge, K. J., Dixon, J. F., Iosif, A., Schweitzer, J. B., & McClure, S. M. (2014) · Journal of Cognitive Neuroscience · doi:10.1162/jocn_a_00642 · Cited by 37
“…b r a r i e s u s e r o n 1 7 M a y 2 0 2 1 D ow nloaded from http://direct.m it.edu/jocn/article-pdf/26/11/2455/1947957/jocn_a_00642.pdf by guest on 01 Septem ber 2021 choices between the immediate and delayed rewards were modeled with the exponential version of the Luce choice model (Luce, 2005).”
Price complexity and buyer confusion in markets
Kalaycı, K. (2015) · Journal of Economic Behavior & Organization · doi:10.1016/j.jebo.2015.01.001 · Cited by 35
An Analysis and Visualization Methodology for Identifying and Testing Market Structure
France, S. L., & Ghose, S. (2016) · Marketing Science · doi:10.1287/mksc.2015.0958 · Cited by 35
Single-Label Multi-Class Image Classification by Deep Logistic Regression
Dong, Q., Zhu, X., & Gong, S. (2019) · Proceedings of the AAAI Conference on Artificial Intelligence · doi:10.1609/aaai.v33i01.33013486 · Cited by 44
“To that end, the softmax function is often employed (Luce 2005; Peterson and Söderberg 1989; Bridle 1990).”
MethodTroiano, S., Marangon, F., Tempesta, T., et al. (2016) · New Medit · Cited by 35
A new hierarchical ranking aggregation method
Ding, J., Han, D., Dezert, J., et al. (2018) · Information Sciences · doi:10.1016/j.ins.2018.04.041 · Cited by 35
“, batch mode [8]–[12] (or global mode) methods and instant-runoff mode [15] (or Luce mode [16], [17]) methods.”
MethodThe untenability of Luce's principle.
Rozeboom, W. W. (1962) · Psychological Review · doi:10.1037/h0041419 · Cited by 35
van de Kaa, E. J. (2008) · Research Repository (Delft University of Technology) · Cited by 35
Consumer Choice Models with Endogenous Network EffectsPreprint
Wang, R., & Wang, Z. (2014) · SSRN Electronic Journal · doi:10.2139/ssrn.2496649 · Cited by 35
Aligning protein generative models with experimental fitness via Direct Preference OptimizationPreprint
Widatalla, T., Rafailov, R., & Hie, B. (2024) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2024.05.20.595026 · Cited by 35
“We usually assume a parameterization of the preference distribution, such as the Plackett-Luce [38, 30] choice model (or the Bradley-Terry [6] for pairwise data).”
MethodInfluentialBeyond Preferences in AI Alignment
Zhi‐Xuan, T., Carroll, M., Franklin, M., & Ashton, H. (2024) · Philosophical Studies · doi:10.1007/s11098-024-02249-w · Cited by 82
Metadata
- Authors
- Luce, R. D.
- Affiliations
- University of California, Irvine (US)
- Corresponding author
- Luce, R. Duncan
- Venue
- Dover Publications eBooks
- Publisher
- Dover Publications
- Published
- 2005
- OpenAlex
- W2094536313
- Cited by
- 1,157
- References
- 0
- Citations by year
- 2026: 5 · 2025: 14 · 2024: 18 · 2023: 36 · 2022: 27 · 2021: 55 · 2020: 43 · 2019: 51 · 2018: 45 · 2017: 35 · 2016: 48 · 2015: 81 · 2014: 74 · 2013: 68 · 2012: 53
- FWCI
- 20.89
- Type
- book
- Language
- en
- Open access
- closed
- Locations
- Dover Publications eBooks (publishedVersion)
- Funders
- National Science Foundation (NSF-G2803)
- Office of Naval Research (G-4506)
- Topics
- Social Sciences › Decision Sciences › General Decision Sciences › Decision-Making and Behavioral Economics
- Social Sciences › Economics, Econometrics and Finance › Economics and Econometrics › Economic Theory and Institutions
- Social Sciences › Economics, Econometrics and Finance › Economics and Econometrics › Experimental Behavioral Economics Studies
- Keywords
- decision-making, choice theory, consumer behavior, utility maximization
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