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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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Learning From Revisions: Quality Assessment of Claims in Argumentation at Scale
Skitalinskaya, G., Klaff, J., & Wachsmuth, H. (2021) · Conference of the European Chapter of the Association for Computational Linguistics · doi:10.18653/v1/2021.eacl-main.147 · Cited by 26
“BTL For mapping, we use the well-established Bradley-Terry-Luce (BTL) model (Bradley and Terry, 1952; Luce, 2012), in which items are ranked according to the probability that a given item beats an item chosen randomly.”
MethodDebiasing Crowdsourced Batches
Zhuang, H., Parameswaran, A., Roth, D., & Han, J. (2015) · ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD) · doi:10.1145/2783258.2783316 · Cited by 22
“Before we delve into our model, we first recap a probability model for generating rankings based on scores associated with items, namely the classical Plackett-Luce model [15, 21] introduced in the 70s.”
MethodPatching, G. R., Englund, M. P., & Hellström, Å. (2012) · Journal of Experimental Psychology Human Perception & Performance · doi:10.1037/a0027593 · Cited by 23
A New Multinomial Accuracy Measure for Polling Bias
Arzheimer, K., & Evans, J. A. J. (2013) · Political Analysis · doi:10.1093/pan/mpt012 · Cited by 22
A new specification of generalized linear models for categorical responses
Peyhardi, J., Trottier, C., & Guédon, Y. (2015) · Biometrika · doi:10.1093/biomet/asv042 · Cited by 23
Fixed-State Assessment of Utility Functions
Novick, M. R., & Lindley, D. V. (1979) · Journal of the American Statistical Association · doi:10.1080/01621459.1979.10482511 · Cited by 23
Improving Out-of-Sample Predictions Using Response Times and a Model of the Decision ProcessPreprint
Clithero, J. A. (2016) · SSRN Electronic Journal · doi:10.1016/j.jebo.2018.02.007 · Cited by 107
Gruenenfelder, T. M., Recchia, G. L., Rubin, T. N., et al. (2015) · Cognitive Science · doi:10.1111/cogs.12299 · Cited by 22
Gerasímou, G. (2015) · Economic Theory · doi:10.1007/s00199-015-0869-8 · Cited by 22
Evaluating Measurement Invariance in Categorical Data Latent Variable Models with the EPC-Interest
Oberski, D. L., Vermunt, J. K., & Moors, G. B. D. (2015) · Political Analysis · doi:10.1093/pan/mpv020 · Cited by 24
Boundedly rational backward induction
Ke, S. (2019) · Theoretical Economics · doi:10.3982/te2402 · Cited by 18
“2See, for example, Jéhiel (1995, 1998); Jehiel (2001); Gabaix et al. (2006); and Rampal (2018).”
The Impact of Personal Dispositions on Privacy and Trust in Disclosing Health Information Online
Bansal, G., Zahedi, F. M., & Gefen, D. (2007) · Journal of the Association for Information Systems · Cited by 22
Wainwright, W., Glenk, K., Akaichi, F., & Moran, D. (2019) · Livestock Science · doi:10.1016/j.livsci.2019.03.016 · Cited by 21
Learning to rank from Bayesian decision inference
Kuo, J.-W., Cheng, P., & Wang, H. (2009) · ACM International Conference on Information and Knowledge Management (CIKM) · doi:10.1145/1645953.1646058 · Cited by 22
“To model the ranked list appropriately, many probabilistic models have been proposed for modeling rank data, e.g., the Bradley-Terry-Luce model [1, 14], the Mallows model [15], and the Plackett-Luce model [18, 14].”
MethodMulti-dimensional single-peaked consistency and its approximations
Sui, X., Francois-Nienaber, A., & Boutilier, C. E. (2013) · Cited by 21
Computational modelling of manufacturing choice complexity in a mixed-model assembly line
Busogi, M., Ransikarbum, K., Oh, Y. G., & Kim, N. (2017) · International Journal of Production Research · doi:10.1080/00207543.2017.1319088 · Cited by 21
“Based on the fuzzy logical model of perception, Luce (2008) suggests that the probability of selecting part ‘ a ’ when ‘ b ’ is requested, denoted by P a j b , can be calculated using Equation (13).”
Sparse paired comparisons in the Bradley-Terry model
Yan, T., Yang, Y., & Xu, J. (2011) · Statistica Sinica · doi:10.5705/ss.2010.299 · Cited by 21
“It has been generalized in several directions (e.g., Luce (1959); Rao and Kupper (1967); Huang, Weng, and Lin (2006)).”
BackgroundGambler's fallacy and imperfect best response in legislative bargaining
Nunnari, S., & Zápal, J. (2016) · Games and Economic Behavior · doi:10.1016/j.geb.2016.06.008 · Cited by 21
“Probabilistic choice models have long been used in the analysis of individual decisions (Luce, 1959; Harless and Camerer, 1994; Hey and Orme, 1994; Camerer and Ho, 1994).”
MethodZur Komplexität von Entscheidungssituationen
Luhmann, N. (2019) · Springer eBooks · doi:10.1007/978-3-658-23210-8_7 · Cited by 21
Understanding and predicting the yield in the MBA admissions process
McClain, D., Vance, B., & Wood, E. (1984) · Research in Higher Education · doi:10.1007/bf00992035 · Cited by 21
“T is model of stochastic cho ce as its origins in the literature in psych logy ( ee Luce, 1959; Luce and Suppes, 1965). McFadden (1974) has hown that a aximum likelihood estimate of the paramet rs of this model is consistent nd asymptotically nor l.”
BackgroundDocumentation Iza?Mod V3.0: The Iza Policy Simulation ModelPreprint
Löffler, M., Peichl, A., Pestel, N., et al. (2014) · SSRN Electronic Journal · doi:10.2139/ssrn.2514746 · Cited by 21
Selective attention and the breadth of learning: An extension of the one-look model.
Shepp, B. E., Kemler, D. G., & Anderson, D. R. (1972) · Psychological Review · doi:10.1037/h0032953 · Cited by 21
CrowdGrader: Crowdsourcing the Evaluation of Homework AssignmentsPreprint
de Alfaro, L., & Shavlovsky, M. (2013) · arXiv (Cornell University) · doi:10.48550/arxiv.1308.5273 · Cited by 25
“In the original paper by Bradley and Terry, the player strenghts are obtained from match outcomes via a maximum-likelyhood approach [4, 21]; Elo replaced this with a dynamic update process which could account also for the timevarying aspect of player strenghts [11].”
MethodKumar, R., Mahdian, M., Pang, B., et al. (2015) · ACM International Conference on Web Search and Data Mining (WSDM) · doi:10.1145/2684822.2685300 · Cited by 20
“For this, we use a classical model due to [20], which is based on the following axiom: the relative probability of choosing between two options a and b is independent of the presence of other options.”
BackgroundMethodThe Externalities of Exploration and How Data Diversity Helps Exploitation
Raghavan, M. (2023) · ACM eBooks · doi:10.1145/3603195.3603208 · Cited by 20
Doleschal, F., & Verhey, J. L. (2021) · Applied Acoustics · doi:10.1016/j.apacoust.2021.108442 · Cited by 20
Online Advertisement Allocation Under Customer Choices and Algorithmic Fairness
Li, X. P., Rong, Y., Zhang, R., & Zheng, H. (2024) · Management Science · doi:10.1287/mnsc.2021.04091 · Cited by 22
Six Predictions about the Decision Making of Animal and Human Groups
Sumpter, D. J. T., Zabzina, N., & Nicolis, S. C. (2012) · Managerial and Decision Economics · doi:10.1002/mde.2553 · Cited by 20
The Representational Measurement Approach to Psychophysical and Judgmental Problems
Iverson, G., & Luce, R. D. (1998) · Elsevier eBooks · doi:10.1016/b978-012099975-0.50003-8 · Cited by 25
“A.2), but is based on quite different considerations (Luce, 1959a).”
Self-citationSlave systems in verbal short-term memory
Caplan, D. N., Waters, G. S., & Howard, D. (2012) · Aphasiology · doi:10.1080/02687038.2011.642795 · Cited by 20
“An effect of phonological similarity at recall is a natural consequence of Luce-type choice rules (Luce, 1959, 1963) in which retrieval is affected by the degree to which the retrieval cue overlaps with features of the target, modified by the degree to which it overlaps with features of competitors.”
BackgroundPain Now or Later: An Outgrowth Account of Pain-Minimization
Sun, H.-Y., Aimei, L. I., Chen, S., Zhao, D., Rao, L., Liang, Z., & Li, S. (2015) · PLoS ONE · doi:10.1371/journal.pone.0119320 · Cited by 20
“Furthermore, the preference for the immediate negative event would contradict the principle of maximizing individual interests assumed by mainstream economic and decision theories [14, 15].”
BackgroundThe Intergovernmental Context of Alternative Service Delivery Choices
Krueger, S., Walker, R. W., & Bernick, E. M. (2011) · Publius The Journal of Federalism · doi:10.1093/publius/pjr035 · Cited by 20
“1 See Luce (1959) and McFadden (1974).”
Social Surplus and Profitability under Different Spatial Pricing Policies
Anderson, S. P., de Palma, A., & Thisse, J. (1992) · Southern Economic Journal · doi:10.2307/1060230 · Cited by 20
“Third, the logit can be given a sound axiomatic basis in the probabilistic choice context (see especially Luce [29] and Yellott [37]).”
BackgroundThe choice axiom, revealed preference, and the theory of demand
Halldin, C., & Houthakker, H. S. (1974) · Theory and Decision · doi:10.1007/bf00143245 · Cited by 20
Measurement of small color differences.
Wandell, B. A. (1982) · PubMed · Cited by 20
Using Testing to Enhance Learning: A Comparison of Two Hypotheses
Mozer, M. C., Pashler, H., & Howe, M. (2004) · PsycEXTRA Dataset · doi:10.1037/e537052012-223 · Cited by 21
“A standard procedure for reading out from a neural is to a Luce choice or Boltzmann ( Luce, 1959 ).”
MethodA mathematical theory of cooperative communicationPreprint
Wang, P., Wang, J., Paranamana, P., & Shafto, P. (2019) · arXiv (Cornell University) · doi:10.48550/arxiv.1910.02822 · Cited by 28
“Models of belief updating and action selection, as probabilistic inference [Chater et al., 2008, Tenenbaum et al., 2011] and choice [Luce, 2012, Sutton et al., 1998] respectively, have a long history in the literature on human learning, and have recently been combined into models of cooperation and…”
Optimal full ranking from pairwise comparisons
Chen, P., Gao, C., & Zhang, A. Y. (2022) · The Annals of Statistics · doi:10.1214/22-aos2175 · Cited by 20
Integrating Knowledge Distillation With Learning to Rank for Few-Shot Scene Classification
Liu, Y., Zhang, L., Han, Z., & Chen, C. (2021) · IEEE Transactions on Geoscience and Remote Sensing · doi:10.1109/tgrs.2021.3094123 · Cited by 19
“We deal with this through the Plackett–Luce model [31]–[33].”
MethodGenerative Modeling of Entity Comparisons in Text
Tkachenko, M., & Lauw, H. W. (2014) · doi:10.1145/2661829.2662016 · Cited by 19
“We have also introduced +BTL models as pseudo-baselines, though they have not appeared in previous literature.”
MethodInfluentialA reanalysis of the CARIN theory of conceptual combination.
Maguire, P., Devereux, B. J., Costello, F., et al. (2007) · Journal of Experimental Psychology Learning Memory and Cognition · doi:10.1037/0278-7393.33.4.811 · Cited by 19
Kumar, R., Tomkins, A., Vassilvitskii, S., & Vee, E. (2015) · ACM International Conference on Web Search and Data Mining (WSDM) · doi:10.1145/2684822.2685310 · Cited by 19
“Our choice of choice probabilities (no recursion intended!) is loosely motivated by the axioms formulated by Duncan Luce [23, 24], which state that a user’s likelihood to select one object over another is unaffected by the nature of the other alternatives.”
BackgroundMethodIsotonic regression with unknown permutations: Statistics, computation and adaptation
Pananjady, A., & Samworth, R. J. (2022) · The Annals of Statistics · doi:10.1214/21-aos2107 · Cited by 23
“The simplest parameterization is given by f ( u 1 , . . . , u d ) = u 1 / =1 u j , which dates back to Luce (1959).”
Regret salience and accountability in the decoy effect
Connolly, T., Reb, J. M., & Kausel, E. E. (2013) · Judgment and Decision Making · doi:10.1017/s1930297500005064 · Cited by 19
“…effect, also known as the asymmetrically dominated alternative effect (Huber, Payne, & Puto, 1982) and as the attraction effect (Mishra, Umesh & Stem, 1993; Si-monson, 1989), is a decision error, a violation of the normative principle of regularity (Luce, 1959, 1977; Simon-son & Tversky, 1992).”
The Influence of Social Programs in Source Countries on Various Classes of U.S. Immigration
Greenwood, M. J., McDowell, J. M., Waldman, D. M., et al. (1999) · Journal of the American Statistical Association · doi:10.1080/01621459.1999.10473819 · Cited by 19
Psychophysical Dimensions of Material Perception and Methods to Specify Textural Space
Okamoto, S., Nagano, H., & Ho, H.-N. (2016) · Springer eBooks · doi:10.1007/978-4-431-55772-2_1 · Cited by 20
“Among methods or mathematical models to establish ratio or interval scales, a similarity choice model [45, 46], an overlap model [79, 80], the constant ratio rule [16, 17], and a complete method of triads [78] are famous.”
MethodTowards a unified account of supervised and unsupervised category learning
Gureckis, T. M., & Love, B. C. (2003) · Journal of Experimental & Theoretical Artificial Intelligence · doi:10.1080/09528130210166097 · Cited by 19
“The Luce choice rule is conceptually related to this decision rule (Luce, 1959).”
BackgroundExamination of hypothesis-sampling theory.
Brown, A. S. (1974) · Psychological Bulletin · doi:10.1037/h0037159 · Cited by 19
An Integrative Approach to Stroop: Combining a Language Model and a Unififed Cognitive Theory
Altmann, E. M., & Davidson, D. J. (2001) · Proceedings of the Annual Meeting of the Cognitive Science Society · Cited by 20
Counterfactual Off-Policy Training for Neural Dialogue Generation
Zhu, Q., Zhang, W., Liu, T., & Wang, W. Y. (2020) · Conference on Empirical Methods in Natural Language Processing (EMNLP) · doi:10.18653/v1/2020.emnlp-main.276 · Cited by 23
“Using the Gumbel-Max Trick (Luce, 2012), the sampling process can be achieved by: where the element of U j follows the standard Gum-bel distribution.”
MethodFactors Affecting Enhanced Video Quality Preferences
Satgunam, P., Woods, R. L., Bronstad, P. M., et al. (2013) · IEEE Transactions on Image Processing · doi:10.1109/tip.2013.2282120 · Cited by 19
Leveraging Social Connections to Improve Peer Assessment in MOOCs
Chan, H. P., & King, I. (2017) · doi:10.1145/3041021.3054165 · Cited by 18
“Raman et al. used several classical probabilis-342 tic ranking models such as the Plackett-Luce model [9], the Bradley & Terry model [1], and the Mallows model [11] to learn the full ranking of all the assignments based on the partial rankings of assignments collected from students [16].”
MethodSelection Problems in the Presence of Implicit Bias
Raghavan, M. (2023) · ACM eBooks · doi:10.1145/3603195.3603209 · Cited by 21
Leveraging Cognitive Diagnosis to Improve Peer Assessment in MOOCs
Xu, J. W., Li, Q., Liu, J., Lv, P., & Yu, G. (2021) · IEEE Access · doi:10.1109/access.2021.3069055 · Cited by 19
“In [43], several statistical ranking models for ordinal comparison, namely the Bradley-Terry model [41], the Plackett-Luce model [44], and the Mallows model [45], are used to learn the full ranking of all submissions from the collected individual student’s partial ranking of submissions.”
MethodA tutorial on selecting and interpreting predictive models for ordinal health-related outcomes
Guzman-Castillo, M., Brailsford, S., Luke, M. A., & Smith, H. K. (2015) · Health Services and Outcomes Research Methodology · doi:10.1007/s10742-015-0140-6 · Cited by 18
“Luce (1959) proposed the multinomial logit model (MNLM) as an extension of the binary logistic regression model to handle polytomous outcomes, where the categories are no longer considered as ordered and the effects of the independent variables are allowed to differ for each outcome (Hilbe 2009).”
BackgroundMethodInfluentialRole of Behavioral Heterogeneity in Aggregate Financial Market Behavior: An Agent-Based Approach
Hessary, Y. K., & Hadžikadić, M. (2017) · Procedia Computer Science · doi:10.1016/j.procs.2017.05.254 · Cited by 18
Psychological Contributions to Travel Demand Modeling
Levin, I. P., & Louviere, J. J. (1981) · Springer eBooks · doi:10.1007/978-1-4684-4001-0_3 · Cited by 18
Modeling Classification and Inference Learning
Love, B. C., Markman, A. B., & Yamauchi, T. (2000) · Cited by 19
Maximum Likelihood Additivity Analysis
Takane, Y. (1982) · Psychometrika · doi:10.1007/bf02294157 · Cited by 18
Aouad, A., & Segev, D. (2015) · SSRN Electronic Journal · doi:10.2139/ssrn.2709652 · Cited by 18
The value of scientific information on climate change: a choice experiment on Rokua esker, Finland
Koundouri, P., Kougea, E., Stithou, M., et al. (2012) · Journal of Environmental Economics and Policy · doi:10.1080/21606544.2011.647450 · Cited by 17
“However, the fact that it is difficult to describe everything in terms of its attributes or that is possible to make errors in measuring attributes, gave place to the second strong link of CE with economic theory, that of random utility theory (Luce 1959, McFadden 1974).”
BackgroundAnalysis of consumer demand for traceable pork in China based on a real choice experiment
Wu, L., Wang, H., & Zhu, D. (2015) · China Agricultural Economic Review · doi:10.1108/caer-11-2013-0153 · Cited by 17
Mantelakis, A., Iosifidis, M., Al-Bitar, Z. B., Antoniadis, V., Wertheim, D. F., Garagiola, U. M., & Naini, F. B. (2018) · Maxillofacial Plastic and Reconstructive Surgery · doi:10.1186/s40902-018-0161-5 · Cited by 17
Learning to rank with relational graph and pointwise constraint for cross-modal retrieval
Xu, Q., Li, M., & Yu, M. (2018) · Soft Computing · doi:10.1007/s00500-018-3608-9 · Cited by 17
“In this section, we will briefly introduce the learning to rank methods (Li et al. 2009) and Plackett–Luce (PL) (Duncan Luce 2005; Plackett Robin 1975) probability distribution model in the field of information retrieval, which plays a significant role in the method proposed later.”
MethodHigh price or low price? An experimental study on a markdown pricing policy
Chen, J., & Zhao, Y. (2019) · European Journal of Operational Research · doi:10.1016/j.ejor.2019.12.001 · Cited by 17
Modeling choice paradoxes under risk: From prospect theories to sampling-based accounts
Kellen, D., Steiner, M. D., Davis‐Stober, C. P., & Pappas, N. J. (2020) · Cognitive Psychology · doi:10.1016/j.cogpsych.2019.101258 · Cited by 23
Shiferaw, A. (2014) · Journals & Books Hosting (International Knowledge Sharing Platform) · Cited by 17
Mining Preferences from Spatial-Temporal Data
Brown, D. E., Liu, H., & Xue, Y. (2001) · SIAM International Conference on Data Mining · doi:10.1137/1.9781611972719.26 · Cited by 17
“Some research, especially in the fields of economics, transportation and marketing have used the analysis of choice behavior, which is first introduced by Luce (1959) .”
BackgroundBirnbaum, M. H., & Diecidue, E. (2015) · Decision · doi:10.1037/dec0000031 · Cited by 17
Efficiently Learning Mixtures of Mallows Models
Liu, A., & Moitra, A. (2018) · Annual Symposium on Foundations of Computer Science · doi:10.1109/focs.2018.00066 · Cited by 17
“There are other natural models for distributions on permutations such as the Bradley-Terry model [23] and the Plackett-Luce model [24], [25].”
MethodThe preadult origins of postmaterialism: A longitudinal sibling study
Kroh, M. (2009) · European Journal of Political Research · doi:10.1111/j.1475-6765.2009.00843.x · Cited by 17
McEntee, J., & Saunders, R. R. (1997) · Journal of Applied Behavior Analysis · doi:10.1901/jaba.1997.30-485 · Cited by 17
“For Participant 1, responding was usually distributed to all the remaining alternatives in unpredictable proportions (cf. Luce, 1959; Rachlin & Burkhard, 1978).”
BackgroundResponse Latency: A New Measure for Scaling Brand Preference
Tyebjee, T. T. (1979) · Journal of Marketing Research · doi:10.1177/002224377901600114 · Cited by 17
Maximum likelihood inverse reinforcement learning
Vroman, M. C. (2014) · doi:10.7282/t3gq70c8 · Cited by 17
“It is also used as a model for human decision making [Luce, 1959].”
MethodRanking a Set of Objects: A Graph Based Least-Square Approach
Christoforou, E., Nordio, A., Tarable, A., & Leonardi, E. (2021) · IEEE Transactions on Network Science and Engineering · doi:10.1109/tnse.2021.3053423 · Cited by 16
“the Bradley-Terry-Luce (BTL) model [3], [4], where”
Optimizing Revenue While Showing Relevant Assortments at Scale
Tulabandhula, T., Sinha, D., & Karra, S. R. (2021) · European Journal of Operational Research · doi:10.1016/j.ejor.2021.08.006 · Cited by 17
An artificial neural network based method to uncover the value-of-travel-time distribution
van Cranenburgh, S., & Kouwenhoven, M. (2020) · Transportation · doi:10.1007/s11116-020-10139-3 · Cited by 15
A similarity-based approach for shape classification using Aslan skeletons
Erdem, A., & Tari, S. Z. (2010) · Pattern Recognition Letters · doi:10.1016/j.patrec.2010.06.003 · Cited by 16
“Then, a membership score for each category is obtained by normalizing these outputs according to Luce’s choice rule [33, 34], as follows:”
MethodSensory and decisional components of endogenous attention are dissociable
Banerjee, S., Grover, S., Ganesh, S., & Sridharan, D. (2019) · Journal of Neurophysiology · doi:10.1152/jn.00257.2019 · Cited by 18
1Compression in the Space of Permutations
Wang, D., Mazumdar, A., & Wornell, G. W. (2014) · Cited by 15
Beyond Theory and Data in Preference Modeling: Bringing Humans into the Loop
Allen, T. E., Chen, M., Goldsmith, J., Mattei, N., Popova, A., Regenwetter, M., Rossi, F., & Zwilling, C. E. (2015) · Lecture notes in computer science · doi:10.1007/978-3-319-23114-3_1 · Cited by 16
“Arguably, the most natural way to model uncertainty in choice is via probabilistic models [4,10,36–38,67].”
BackgroundEstimating willingness to pay for a threatened species within a threatened ecosystem
Decker, K. A., & Watson, P. S. (2016) · Journal of Environmental Planning and Management · doi:10.1080/09640568.2016.1221797 · Cited by 16
Thurstone scaling in order statistics
Lipovetsky, S. (2006) · Mathematical and Computer Modelling · doi:10.1016/j.mcm.2006.09.009 · Cited by 16
“Alternatively, the Bradley–Terry model for paired comparison and the Bradley–Terry–Luce extension to multiple comparisons model are known for the preference modelling [5,6,28,29,10,22,24].”
MethodThe Interaction Effect of Preference and Availability on Brand Switching and Market Share
Jeuland, A. P. (1979) · Management Science · doi:10.1287/mnsc.25.10.953 · Cited by 16
Discrete Choice and Stochastic Utility MaximizationPreprint
Koning, R. H., & Ridder, G. (2002) · SSRN Electronic Journal · doi:10.2139/ssrn.325080 · Cited by 16
Creative Learning and Propensity Automaton
Watanabé, S. (1975) · IEEE Transactions on Systems Man and Cybernetics · doi:10.1109/tsmc.1975.4309401 · Cited by 16
Angelelli, M., Arima, S., Catalano, C., & Ciavolino, E. (2024) · Expert Systems with Applications · doi:10.1016/j.eswa.2024.124572 · Cited by 17
“The favourable invariance of the AGR index under rank transformations that are compatible with the same underlying ordinal assessment is in line with Luce’s axiom of Independence of Irrelevant Alternatives (Luce, 2005), while some algebraic conditions related to this type of symmetry have been discussed in reasoning u…”
ResultResources in vocational education and post‐schooling outcomes
Maliranta, M., Nurmi, S., & Virtanen, H. (2010) · International Journal of Manpower · doi:10.1108/01437721011066344 · Cited by 15
“We use the multinomial logit model (MNL), proposed by Luce (1959), which is the simplest alternative of multinomial models.”
MethodCRF framework for supervised preference aggregation
Volkovs, M., & Zemel, R. S. (2013) · ACM International Conference on Information and Knowledge Management (CIKM) · doi:10.1145/2505515.2505713 · Cited by 15
“To avoid some of these drawbacks, the Bradley-Terry model was generalized by Plackett and Luce [28, 22] to a Plackett-Luce model for permutations: M n j = i exp( s n ( y − 1 ( j ))) (5) where s n ( y − 1 ( i )) is the score of the item in position i in y .”
MethodRolison, J. J., Hanoch, Y., & Gummerum, M. (2013) · Risk Analysis · doi:10.1111/risa.12042 · Cited by 15
Dual Market Facility Network Design under Bounded Rationality
Mogale, D. G., Lahoti, G., Jha, S. B., et al. (2018) · Algorithms · doi:10.3390/a11040054 · Cited by 15
Lang, N., Wang, L., & Zha, Q. (2022) · Royal Society Open Science · doi:10.1098/rsos.211732 · Cited by 17
“To the best of our knowledge, the CSF was first proposed by Luce to explore individual choice behaviour [50].”
BackgroundMarket Area Analysis for Retail and Service Locations with MCI
Wieland, T. (2017) · The R Journal · doi:10.32614/rj-2017-020 · Cited by 15
“Derived from the behavioral scientific Luce choice axiom (Luce, 1959), the consumer decision in the Huff Model is regarded as probabilistic.”
BackgroundA Model for Detection and Recognition with Signal Uncertainty
Shipley, E. F. (1960) · Psychometrika · doi:10.1007/bf02289731 · Cited by 15
Probabilistic voting and platform selection in multi-party elections
Anderson, S. P., Kats, A., & Thisse, J. (1994) · Social Choice and Welfare · doi:10.1007/bf00183300 · Cited by 15
Structural Labor Supply Models and Wage ExogeneityPreprint
Löffler, M., Peichl, A., & Siegloch, S. (2014) · SSRN Electronic Journal · doi:10.2139/ssrn.2464472 · Cited by 15
An Optimizing Neuroeconomic Model of Discrete Choice
Woodford, M. (2014) · National Bureau of Economic Research · doi:10.3386/w19897 · Cited by 16
Computing with Unreliable Resources: Design, Analysis and Algorithms
Wang, D. (2014) · DSpace@MIT (Massachusetts Institute of Technology) · Cited by 14
Citizen science informs demand‐driven breeding of opportunity crops
Voss, R. C., de Sousa, K., N’Danikou, S., Shango, A. J., Aglinglo, L. A., Laporte, M., Legba, E. C., Houdegbe, A. C., Diarra, D. D. Y., Dolo, A., et al. (2025) · Plants People Planet · doi:10.1002/ppp3.70035 · Cited by 14
“We analyzed the tricot ranking data using the Plackett-Luce model and model-based recursive partitioning (Luce, 1959; Plackett, 1975; Zeileis et al., 2008), recommended for analysis of on-farm tricot data To identify potential producer segments, we applied a cluster analysis using the farmers'…”
de Wiljes, J., Putzig, L., & Horenko, I. (2014) · Communications in Applied Mathematics and Computational Science · doi:10.2140/camcos.2014.9.1 · Cited by 14
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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