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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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SOME CHARACTERISTICS OF CHOICE BEHAVIOR IN RISKY SITUATIONS*
Coombs, C. H., & Pruitt, D. G. (1961) · Annals of the New York Academy of Sciences · doi:10.1111/j.1749-6632.1961.tb20178.x · Cited by 9
Probabilistic n-Choose-k Models for Classification and Ranking
Swersky, K., Frey, B. J., Tarlow, D., Zemel, R. S., & Adams, R. P. (2012) · Digital Access to Scholarship at Harvard (DASH) (Harvard University) · Cited by 8
Toward Safe and Efficient Human–Robot Interaction via Behavior-Driven Danger Signaling
Hosseinzadeh, M., Sinopoli, B., & Bobick, A. (2023) · IEEE Transactions on Control Systems Technology · doi:10.1109/tcst.2023.3305100 · Cited by 8
“Extensive work in cognitive science has shown that human behavior can be well modeled by objective-driven optimization [18], [19], [20].”
BackgroundConsumer preference for pork safety characteristics: Considering rational and irrational behavior
Zhu, D., Tang, Y., & Wu, L. (2023) · Food Control · doi:10.1016/j.foodcont.2023.109659 · Cited by 14
Li, Q., Qin, S., Rao, L., Zhang, W., Ying, X., Guo, X., Guo, C., Ding, J., Li, S., & Luo, J. (2011) · PLoS ONE · doi:10.1371/journal.pone.0017544 · Cited by 9
A markov chain approximation to choice modeling
Blanchet, J., Gallego, G., & Goyal, V. (2013) · ACM Conference on Electronic Commerce (EC) · doi:10.1145/2482540.2482560 · Cited by 8
A Bayesian Mallows approach to nontransitive pair comparison data: How human are sounds?
Crispino, M., Arjas, E., Vitelli, V., Barrett, N., & Frigessi, A. (2019) · The Annals of Applied Statistics · doi:10.1214/18-aoas1203 · Cited by 8
“One important feature of our Mallows model is the possibility to choose, for the considered specific application, an appropriate distance function. Some problems require a distance able to measure only the disorder in the given domain, while in others a distance more suited for learning preferences in a population wou…”
BackgroundMethodModeling Crime Diffusion and Crime Suppression on Transportation Networks: An Initial Report.
Zhang, C., Jiang, A. X., Short, M. B., et al. (2013) · Cited by 8
Gaussian Data-Aided Sensing With Multichannel Random Access and Model Selection
Choi, J. (2019) · IEEE Internet of Things Journal · doi:10.1109/jiot.2019.2957964 · Cited by 7
“algorithm, which is called the “softmax” algorithm [14], [24].”
MethodEliciting user preference for quantitative vs. emotional information display in eco-feedback designs
Bao, Q., Shaukat, M. M., & Yang, M. C. (2021) · Research in Engineering Design · doi:10.1007/s00163-021-00363-y · Cited by 9
Counterfactual Data Augmentation via Perspective Transition for Open-Domain Dialogues
Ou, J., Zhang, J., Feng, Y., & Zhou, J. (2022) · Conference on Empirical Methods in Natural Language Processing (EMNLP) · doi:10.18653/v1/2022.emnlp-main.106 · Cited by 12
Impact of Regionalization and Detour on Ad-hoc Path Choice
Hochmair, H. H., Büchner, S. J., & Hölscher, C. (2008) · Spatial Cognition and Computation · doi:10.1080/13875860701866446 · Cited by 8
“Firstly, the decision making can be modeled through a deterministic utility and a probabilistic decision process (Luce, 1959).”
BackgroundMarone, L., Camín, S. R., & Cueto, V. R. (2015) · Canadian Journal of Zoology · doi:10.1139/cjz-2014-0289 · Cited by 8
“value” in the choice set (Luce 1959; Bateson et al. 2003).”
BackgroundThe attraction effect in motor planning decisions
Farmer, G., El‐Deredy, W., Howes, A., & Warren, P. A. (2015) · Judgment and Decision Making · doi:10.1017/s1930297500005635 · Cited by 11
Neuronal studies of decision making in the visual-saccadic system
Dorris, M. A., & Lau, B. (2004) · Cited by 7
Multinomial Logit Bandit with Linear Utility Functions
Ou, M., Li, N., Shenghuo Zhu, B., & Jin, R. (2018) · International Joint Conference on Artificial Intelligence · doi:10.24963/ijcai.2018/361 · Cited by 10
“The user choice follows the MNL model [Luce, 2005; Plackett, 1975].”
MethodInfluentialStochastic approximation algorithms for rumor source inference on graphs
Kalvit, A., Borkar, V. S., & Karamchandani, N. (2019) · Performance Evaluation · doi:10.1016/j.peva.2019.03.002 · Cited by 8
Error and Generalization in Discrete Choice Under RiskPreprint
Wilcox, N. T. (2015) · RePEc: Research Papers in Economics · doi:10.13140/rg.2.1.5062.5766 · Cited by 8
Cognitive Inertia: How Loops Among Attention, Representation, and Decision Making Distort RealityPreprint
Turner, B. M., Blanco, N. J., Unger, L., Kvam, P. D., Ralston, R., & Sloutsky, V. M. (2021) · doi:10.31234/osf.io/8zvey · Cited by 7
Choi, J., Lee, S. W., & Hyun, K. H. (2025) · CHI Conference on Human Factors in Computing Systems · doi:10.1145/3706598.3713502 · Cited by 11
“To identify the ROI-designs during the design process, we utilized the method proposed by Koyama et al. [24], based on the Bradley-Terry-Luce (BTL) model [6, 31].”
Conjoint Analysis Models of Digital Packaging Information Features in Customer Decision-Making
Płonka, M., Grobelny, J., & Michalski, R. (2022) · International Journal of Information Technology & Decision Making · doi:10.1142/s0219622022500766 · Cited by 7
Subject-specific Bradley–Terry–Luce models with implicit variable selection
Casalicchio, G., Tutz, G., & Schauberger, G. (2015) · Statistical Modelling · doi:10.1177/1471082x15571817 · Cited by 7
“to the choice axiom of Luce (1959) with the restriction of choices to between two objects. Thus, the model is also known as Bradley–Terry–Luce (BTL) model. Several extensions have been proposed in the literature to allow for responses with more than two preference categories. The former approaches allowed only a third…”
BackgroundInfluentialEfficient Sampling for Bipartite Matching Problems
Volkovs, M., & Zemel, R. S. (2012) · Cited by 7
Lu, J., Lu, Q., & Lu, L. (2022) · Behavioral Sciences · doi:10.3390/bs12030063 · Cited by 7
“Under the Luce choice rule [66], we defined the likelihood function of a single choice as:”
MethodOvercoming Diverse Undesired Effects in Recommender Systems: A Deontological Approach
Duran, P. G., Gilabert, P., Seguí, S., & Vitria, J. M. (2024) · ACM Transactions on Intelligent Systems and Technology · doi:10.1145/3643857 · Cited by 7
Ranking Web Services with Limited and Noisy Information
Huang, J., Chen, Y., Lin, C., et al. (2014) · IEEE International Conference on Web Services (ICWS) · doi:10.1109/icws.2014.94 · Cited by 7
“Service ranking, which is to sort a set of functionally similar services in a predefined order, is an important issue in several aspects of the design, development and management of web service systems, including service selection, recommendation and billing.”
BackgroundAN AGENT MODEL FOR THE HIGH-END GAMERS MARKET
Adriaansen, T., Armbruster, D., Kempf, K. G., et al. (2013) · Advances in Complex Systems · doi:10.1142/s0219525913500288 · Cited by 7
“Luce [16] and McFadden [21] show that, if the utility is a linear function of the product-specific attributes, such as quality and price, with a Gumbel-distribution additive noise, ui = βxi + i , then the choice probability of product i have the form exp(βxi) 1 + ∑M j=1 exp(β′xj) and the probability that the customer…”
BackgroundMultinomial Processing Tree Models for Discrete Choice
Batchelder, W. H., Hu, X., & Smith, J. B. (2009) · Zeitschrift für Psychologie · doi:10.1027/0044-3409.217.3.149 · Cited by 7
Muthukrishnan, A. V. (2015) · Foundations and Trends® in Marketing · doi:10.1561/1700000040 · Cited by 10
Learning to collude: An experiment in convergence and equilibrium selection in oligopoly
Dixon, H. D., Sbriglia, P., & Somma, E. (2006) · Research in Economics · doi:10.1016/j.rie.2006.08.001 · Cited by 7
“This result is known as the Law of Effect ( Luce, 1959 ), and it implies that choices that have led to “good” outcomes in the past are more likely to be used in the future.”
ResultDhulipala, S. (2020) · European Transport/Trasporti Europei · doi:10.48295/et.2020.79.4 · Cited by 7
“…(RUM) where the choice of a route is influenced by the attributes associated with that particular route, and travellers try to maximise their satisfaction by choosing an alternative that provides them with the highest amount of utility (Domencich and McFadden, 1975; Luce, 2005; McFadden, 1986).”
BackgroundCongruence relations on a choice space
Cantone, D. A., Giarlotta, A., & Watson, S. (2018) · Social Choice and Welfare · doi:10.1007/s00355-018-1146-0 · Cited by 7
“The first to describe it was probably Debreu (1960), in his example on the “two recordings of Beethoven’s Eight Symphony”.”
Low-Variance Black-Box Gradient Estimates for the Plackett-Luce Distribution
Gadetsky, A., Struminsky, K., Robinson, C., Quadrianto, N., & Vetrov, D. (2020) · Proceedings of the AAAI Conference on Artificial Intelligence · doi:10.1609/aaai.v34i06.6572
“The Plackett-Luce distribution (Luce 2005; Plackett 1975) with scores θ = (θ1, .”
MethodIntroduction to topics on preference modelling
Bouyssou, D., & Vincke, P. (1998) · Annals of Operations Research · doi:10.1023/a:1018988520000 · Cited by 7
“We briefly review each of these points below.”
BackgroundChoice responding following multiple schedule training
Edmon, E. L., Lucki, I., & Grisham, M. G. (1980) · Animal Learning & Behavior · doi:10.3758/bf03199608 · Cited by 7
Transitivity of Preference: A Comparison Among Age Groups
Weinstein, A. A. (1968) · Journal of Political Economy · doi:10.1086/259402 · Cited by 7
Seybert, J. M. (2013) · Digital Commons - University of South Florida (University of South Florida) · Cited by 7
Measures of Brand LoyaltyPreprint
Allender, W. J., Richards, T. J., Allender, W. J., et al. (2009) · RePEc: Research Papers in Economics · doi:10.22004/ag.econ.49536 · Cited by 7
Eliciting Individual Preferences for Pension ReformPreprint
Fourati, Y. A., & O’Donoghue, C. (2009) · SSRN Electronic Journal · doi:10.2139/ssrn.1490481 · Cited by 7
“Alternatives (IIA) property (or Luce’s Choice Axiom; see Luce (1959) ) which states that the relative probabilities of two options being sel ected are unaffected by the introduction or removal of other alternatives.”
BackgroundTowards An Anthropology Both Scientific And Humanistic
Freeman, D. (1978) · The Asia Pacific Journal of Anthropology · doi:10.1080/03149097809508645 · Cited by 7
MENTALISM AND BEHAVIORISM: MERGING?Preprint
Lefebvre, V. A. (2003) · CogPrints (University of Southampton) · Cited by 7
Pricing When Customers Have Limited AttentionPreprint
Boyacı, T., & Akçay, Y. (2016) · SSRN Electronic Journal · doi:10.2139/ssrn.2741088 · Cited by 7
The presence of irrelevant alternatives paradoxically increases confidence in perceptual decisions
Comay, N. A., Bella, G. A. D., Lamberti, P. W., Sigman, M., Solovey, G., & Barttfeld, P. (2023) · Cognition · doi:10.1016/j.cognition.2023.105377 · Cited by 8
Intelligent Object Exploration
Gaschler, R., Katz, D., Grund, M., Peter, A., & Brock, O. (2012) · InTech eBooks · doi:10.5772/25836 · Cited by 7
Optimal Instance Adaptive Algorithm for the Top-$K$ Ranking Problem
Chen, X., Gopi, S., Mao, J., et al. (2018) · IEEE Transactions on Information Theory · doi:10.1109/tit.2018.2851986 · Cited by 6
“BTL [6], [28] and Thurstone (Case V) [36] models are special cases of SST.”
BackgroundMethodYe, Y., Chen, W., Wang, G., et al. (2022) · Water Resources Management · doi:10.1007/s11269-022-03307-w · Cited by 6
“The multinomial logistic regression (MLR) model was introduced by Luce (2005), and the related algorithm was developed by McFadden (1974).”
MethodFu, J., Tan, X., & Kyllonen, P. C. (2024) · Journal of Educational and Behavioral Statistics · doi:10.3102/10769986241256030 · Cited by 6
“The Rank model assumes that ranking K statements in a block is an iterative process (Luce, 2005/1959): involving initially selecting the most agreeable statement from all the statements to selecting the more agreeable statement from the last remaining two.”
Probability Estimation for Multi-class Classification Based on Label Ranking
Cheng, W., & Hüllermeier, E. (2012) · Lecture notes in computer science · doi:10.1007/978-3-642-33486-3_6 · Cited by 6
“As an aside, we mention that the appealing properties of the PL model as outlined above are closely connected with the “choice axioms” of Luce [13].”
MethodInfluentialPsychoacoustic analysis of HVAC noise with equal loudness
Hohls, S., Biermeier, T., Blaschke, R., et al. (2014) · Cited by 6
Trust-aware Peer Assessment using Multi-armed Bandit Algorithms
Chan, H. P., Zhao, T., & King, I. (2016) · doi:10.1145/2872518.2891080 · Cited by 6
“Classical probabilistic ranking models such as the Plackett-Luce model [10], the Bradley & Terry model [2], and the Mallows model [11], were used to learn the full ranking of all the assignments based on the partial rankings of assignments collected from students[16, 14].”
MethodA Computational Study of Late Talking in Word-Meaning Acquisition
Nematzadeh, A., Fazly, A., & Stevenson, S. (2011) · eScholarship (California Digital Library) · Cited by 6
The premium as informational cue in insurance decision making
Chark, R., Mak, V., & Muthukrishnan, A. V. (2019) · Theory and Decision · doi:10.1007/s11238-019-09732-5 · Cited by 7
“In keeping with probabilistic choice models (e.g., Luce 1959; McFadden 1980), we assume that, empirically, the expected utility framework in the previous analysis only describes the deterministic component of the consumer’s utility.”
MethodEvaluating the Robustness of Click Models to Policy Distributional Shift
Deffayet, R., Renders, J.-M., & de Rijke, M. (2022) · ACM Transactions on Information Systems · doi:10.1145/3569086 · Cited by 6
Context Effects and Context Maps for Positioning
Hahn, M., Won, E. J. S., Kang, H., et al. (2006) · International Journal of Market Research · doi:10.1177/147078530604800205 · Cited by 6
Experimentelle Präferenzmessung im Gesundheitswesen mit Hilfe von Best-Worst Scaling (BWS)
Mühlbacher, A. C., Kaczynski, A., & Zweifel, P. S. (2013) · PharmacoEconomics German Research Articles · doi:10.1007/s40275-014-0012-7 · Cited by 7
“und Luce [34].”
Social Judgments from Adaptive Samples
Denrell, J. C., Mens, G. L., & Gilovich, T. D. (2011) · Oxford University Research Archive (ORA) (University of Oxford) · Cited by 6
Choice Research: A Wealth of Perspectives
Chakravarti, D., Sinha, A. R., & Kim, J. (2005) · Marketing Letters · doi:10.1007/s11002-005-5883-3 · Cited by 6
An Evolutionary Model of Brand Competition
Sengupta, A., Greetham, D. V., & Spence, M. (2007) · IEEE Symposium on Artificial Life (ALIFE) · doi:10.1109/alife.2007.367784 · Cited by 6
“The origins of the MNL can be traced back to the axiomatic analysis of choice probabilities in [19] and later in [20].”
BackgroundECONOMICS, ECOLOGY AND THE ENVIRONMENT
Tisdell, C., Wilson, C., & Nantha, H. S. (1997) · Cited by 8
Equilibria in Models of Binary Choice with Heterogeneous Agents and Social Influence
Phan∥, D., & Semeshenko, V. (2007) · European Journal of Economic and Social Systems · Cited by 6
Selective attention and dimensional learning: A logical analysis of two-stage attention theories
Anderson, D. R., Kemler, D. G., & Shepp, B. E. (1973) · Bulletin of the Psychonomic Society · doi:10.3758/bf03329269 · Cited by 6
Cognitive Hierarchy in Capacity Allocation GamesPreprint
Cui, T. H., & Zhang, Y. (2015) · SSRN Electronic Journal · doi:10.2139/ssrn.2676402 · Cited by 6
Stochastic Choice and Attention Capacities: Inferring Preferences from Psychological BiasesPreprint
Aguiar, V. H. (2015) · SSRN Electronic Journal · doi:10.2139/ssrn.2607602 · Cited by 6
Adaptive Capacity and the Dynamics of Operational CapabilitiesPreprint
Aggarwal, V. A., Posen, H. E., & Workiewicz, M. (2015) · SSRN Electronic Journal · doi:10.2139/ssrn.2559226 · Cited by 6
Stochastic Choice with CategorizationPreprint
Zhang, J. (2016) · SSRN Electronic Journal · doi:10.2139/ssrn.2765638 · Cited by 6
“When all alternatives belong to one category, SLC obviously degenerates to the Luce model with “no choice” option. In general cases the choice probability ratio of any two alternatives in the same category satisfies Luce’s Independence of Irrelevant Alternatives (IIA) axiom. However, the existence of categories and th…”
MethodInfluentialModeling Label Ambiguity for Neural List-Wise Learning to RankPreprint
Jagerman, R., Kiseleva, J., & de Rijke, M. (2017) · arXiv (Cornell University) · doi:10.48550/arxiv.1707.07493 · Cited by 6
Phase Transitions in Approximate RankingPreprint
Gao, C. (2017) · arXiv (Cornell University) · doi:10.48550/arxiv.1711.11189 · Cited by 6
“For example, the popular Bradley-Terry-Luce model [2, 11] considers the form μr(i)r(j) = θr(i) θr(i)+θr(j) , a special case of (6).”
BackgroundHan, M., Günay, S. Y., Yıldız, İ., Bonato, P., Onal, C. D., Padır, T., Schirner, G., & Erdo{ğ}muş, D. (2021) · arXiv (Cornell University) · doi:10.48550/arxiv.2103.04863 · Cited by 6
“4.2.2 Maximum Likelihood Estimation Based on PL Model.”
BackgroundMethodInfluentialColas, J. T., O’Doherty, J. P., & Grafton, S. T. (2024) · PLOS Computational Biology · doi:10.1371/journal.pcbi.1011950 · Cited by 6
TrajFlow: Multi-modal Motion Prediction via Flow Matching
Yan, Q., Zhang, B., Zhang, Y., Yang, D. Z., White, J., Chen, D., Liu, J., Liu, L., Zhuang, B., Shi, S., et al. (2025) · IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) · doi:10.1109/iros60139.2025.11247503 · Cited by 7
From integers to fractions: The role of analogy in transfer and long-term learning
Yu, S., Sidney, P. G., Kim, D., Thompson, C. A., & Opfer, J. E. (2024) · Journal of Experimental Child Psychology · doi:10.1016/j.jecp.2024.105918 · Cited by 5
Network-Based Trust Games: An Agent-Based Model
Chen, S., Chie, B.-T., & Zhang, T. (2015) · Journal of Artificial Societies and Social Simulation · doi:10.18564/jasss.2767 · Cited by 6
“Using a simple version of the stochastic choice model (Luce 1959; McFadden 1974, 1990), agents base all these three decisions on trust.”
MethodInterevent relationships and judgment under uncertainty: Structure determines strategy
Sanfey, A. G., & Hastie, R. (2002) · Memory & Cognition · doi:10.3758/bf03195777 · Cited by 5
Odd Choices: On the Rationality of Some Alleged Anomalies of Decision and Inference
Rott, H. (2011) · Topoi · doi:10.1007/s11245-010-9084-1 · Cited by 5
Paired Comparison Analysis of the van Baaren Model Using Bayesian Approach with Noninformative Prior
Altaf, S., Aslam, M. A., & Aslam, M. (2012) · Pakistan Journal of Statistics and Operation Research · doi:10.18187/pjsor.v8i2.237 · Cited by 5
“Vol.VIII No.2 2012 pp259-270260 Later on, Bradley and Terry (1952), Bradley (1953), Luce (1959), Rao and Kupper (1967), Davidson (1970) developed and modified the paired comparison models and also considered the possibility of the occurrence of tie when two treatments are being compared.”
BackgroundKeep It Simple: Easy Ways To Estimate Choice Models For Single Consumers
Ebling, C., Frischknecht, B. D., & Louviere, J. J. (2010) · Cited by 5
A laughing-driven pupil response system for inducing empathy
Egawa, S., SEJIMA, Y., Sato, Y., et al. (2016) · IEEE/SICE International Symposium on System Integration (SII) · doi:10.1109/sii.2016.7844051 · Cited by 5
“9 shows the calculated results of the evaluation provided in Table III and based on the BradleyTerry model given in Equations (4) and (5) [15], [16].”
MethodGame Theoretic Approaches to Spectrum Sharing in Decentralized Self-Configuring Networks
Perlaza, S. M. (2011) · Cited by 5
Beyond Dichotomy: Dynamics of Choice in Compositional Space
Jensen, G. (2014) · doi:10.7916/d8nc5zc4 · Cited by 5
“In a treatment of the problem by Luce (1988), whose rank-dependent function under uncertainty predates that of Schmeidler (see also Luce & Narens, 1985), the need to transition to a rank-dependent approach is motivated by the need to assemble complex and multi-stage lotteries from their component parts in a fashion th…”
BackgroundImperfect Perception and Stochastic Choice in Experiments
Brañas‐Garza, P., & Smith, J. A. (2023) · Cambridge University Press eBooks · doi:10.1017/9781009049207 · Cited by 3
Englund, M. P., & Hellström, Å. (2013) · Attention Perception & Psychophysics · doi:10.3758/s13414-013-0453-x · Cited by 5
Jeon, H. J., & Dragan, A. D. (2018) · IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) · doi:10.1109/iros.2018.8593564 · Cited by 5
“the softmax negative squared distances defined by metric M [17], [1], [11].”
BackgroundThe advantage of lefties in one-on-one sports
Fagan, F., Haugh, M. B., & Cooper, H. (2018) · Journal of Quantitative Analysis in Sports · doi:10.1515/jqas-2017-0076 · Cited by 5
“The original two competition models are the Bradley-Terry-Luce (BTL) model (Bradley and Terry 1952; Luce 1959) and the Thurstone-Mosteller (TM) model (Thurstone 1927; Mosteller 1951).”
MethodAxiomatic tests for the Boltzmann distribution
Cerreia‐Vioglio, S., Maccheroni, F., Marinacci, M., et al. (2021) · Journal of Statistical Mechanics Theory and Experiment · doi:10.1088/1742-5468/abd4ce · Cited by 5
“We begin with positivity and conditioning axioms that require each section pt of p to be a conditional probability system (see Renyi [8] and Luce [6]).”
BackgroundMethodAn Evolutionary Model of Spatial Competition
Knudsen, T., & Winter, S. G. (2007) · University of Southern Denmark Research Portal (University of Southern Denmark) · Cited by 5
Probabilistic Measurement Theory
Iverson, G. (1991) · Recent research in psychology · doi:10.1007/978-1-4613-9728-1_8 · Cited by 5
Adaptive clustering models of categorization
McDonnell, J. V., & Gureckis, T. M. (2011) · Cambridge University Press eBooks · doi:10.1017/cbo9780511921322.010 · Cited by 6
On the meaningfulness of testing preference axioms in stated preference discrete choice experiments
Hougaard, J. L., Tjur, T., & Østerdal, L. P. (2011) · The European Journal of Health Economics · doi:10.1007/s10198-011-0312-4 · Cited by 5
““axiom of independence of irrelevant alternatives” (e.g., Luce [ 33 ], McFadden”
BackgroundModeling within-pair order effects in paired-comparison judgments
Wickelmaier, F., & Choisel, S. (2006) · Cited by 5
Presentation-order effects for aesthetic stimulus preference
Englund, M. P., & Hellström, Å. (2012) · Attention Perception & Psychophysics · doi:10.3758/s13414-012-0333-9 · Cited by 6
“Most other existing models of preference choice, such as the Bradley–Terry–Luce (BTL) model (Bradley & Terry, 1952; Luce, 1959) can be ruled out, because they are built on the assumption that stimulus comparison only involves a simple subtraction of the (transformed) stimulus magnitudes, and…”
MethodAn investigation of some mathematical models for learning.
Fey, C. F. (1961) · Journal of Experimental Psychology · doi:10.1037/h0046472 · Cited by 5
Utilities, Preferences and Choice
Kroh, M., & van der Eijk, C. (2003) · Cited by 5
Determining shippers' attribute preference for container transport on the Rotterdam - Venlo corridor
Wanders, G. D. B. W. (2014) · Research Repository (Delft University of Technology) · Cited by 5
Application of a cognitive-distance model to learning in a simulated travel task.
Estes, W. K. (1987) · Journal of Experimental Psychology Learning Memory and Cognition · doi:10.1037//0278-7393.13.3.380 · Cited by 5
Neuronal Correlates of Decision Making
Platt, M. L., Dayan, P., Dehaene, S., McCabe, K., Menzel, R., Phelps, E. A., Plaßmann, H., Ratcliff, R., Shadlen, M. N., & Singer, W. (2008) · The MIT Press eBooks · doi:10.7551/mitpress/9780262195805.003.0006 · Cited by 6
“This model is similar to the constant utility theory of Luce (1959), which states that choice is a probabilistic function of preferences or utilities ( Luce 1959).”
MethodComponent processes of decision making in persons with substance use disorders
Baitz, H. A. (2016) · Summit (Simon Fraser University) · Cited by 5
Hybrid-MST: A Hybrid Active Sampling Strategy for Pairwise Preference AggregationPreprint
Li, J., Mantiuk, R., Wang, J., Ling, S., & Callet, P. L. (2018) · arXiv (Cornell University) · doi:10.17863/cam.35347 · Cited by 27
Spatial statistics and attentional dynamics in scene viewingPreprint
Engbert, R., Trukenbrod, H. A., Barthelmé, S., et al. (2014) · arXiv (Cornell University) · doi:10.48550/arxiv.1405.3270 · Cited by 5
“Among the lattice positions with negative activations, we implemented stochastic selection of saccade targets proportional to relative activations, also known as Luce’s choice rule (Luce, 1959).”
MethodDynamic Learning of Sequential Choice Bandit Problem under Marketing FatiguePreprint
Cao, J., & Sun, W. (2019) · arXiv (Cornell University) · doi:10.48550/arxiv.1903.08193 · Cited by 5
“Contextual bandit is an active research area that has received lots of attention in recent years (e.g., Chu et al., 2011; Li et al., 2010, 2012; Cheung and Simchi-Levi, 2017).”
BackgroundDouble Decoys and a Possible Parameterization: Empirical Analyses of Pairwise NormalizationPreprint
Daviet, R., & Webb, R. (2019) · SSRN Electronic Journal · doi:10.2139/ssrn.3374514 · Cited by 4
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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