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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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Competitive guided search: Meeting the challenge of benchmark RT distributions
Moran, R., Zehetleitner, M., Müller, H. J., & Usher, M. (2013) · Journal of Vision · doi:10.1167/13.8.24 · Cited by 91
“The selection process itself is stochastic and relies on Luce’s Choice Axiom to translate the items’ salience into selection probabilities (one possible neuronal mechanism of such translation is described below in the section Temporal dynamics of selection). This is somewhat different from the signal detection-based a…”
BackgroundMethodInfluentialBinary ROCs in perception and recognition memory are curved.
Dubé, C., & Rotello, C. M. (2011) · Journal of Experimental Psychology Learning Memory and Cognition · doi:10.1037/a0024957 · Cited by 84
A Cognitive Framework for Mate Choice and Species Recognition
Phelps, S. M., Rand, A. S., & Ryan, M. J. (2005) · The American Naturalist · doi:10.1086/498538 · Cited by 88
Rationality in collective decision-making by ant colonies
Edwards, S. C., & Pratt, S. C. (2009) · Proceedings of the Royal Society B Biological Sciences · doi:10.1098/rspb.2009.0981 · Cited by 84
“Even when regularity is obeyed, the decoy can evoke violation of another rationality principle: the constant-ratio rule, which requires the relative preference between two options to remain unchanged by the addition of a third option (Luce 1959; Tversky 1972).”
Menu-Dependent Stochastic Feasibility
Brady, R. L., & Rehbeck, J. (2016) · Econometrica · doi:10.3982/ecta12694 · Cited by 87
“Every attribute rule is a random utility model and the Luce model is a special case. Therefore, an RCCSR and an attribute rule are not equivalent from the discussion of random utility models. There are other works worthy of mention which take a different approach than those mentioned here. The models of Machina (1985)…”
BackgroundResultInfluentialCrowdsourcing Multimedia QoE Evaluation: A Trusted Framework
Wu, C., Chen, K.-T., Chang, Y.-C., & Lei, C. (2013) · IEEE Transactions on Multimedia · doi:10.1109/tmm.2013.2241043 · Cited by 83
“this purpose is the Bradley-Terry-Luce (BTL) model [6], [50],”
MethodInattentive Valuation and Reference-Dependent Choice
Woodford, M. (2012) · doi:10.7916/d8vd6xvk · Cited by 85
“3) with equality.(40) In this way, assumed values {qi} and {x̂i} give rise to uniquely defined(41) conditional probabilities {pi(x)} and a Lagrange multiplier θ(x) for each objective state x.”
BackgroundLearning in noise: Dynamic decision-making in a variable environment
Gureckis, T. M., & Love, B. C. (2009) · Journal of Mathematical Psychology · doi:10.1016/j.jmp.2009.02.004 · Cited by 88
“These ''Q-values'' in the model represent an estimate of the future reward the agent can expect to receive given that it selects action a in state s. Ideally, the agent would choose the action in each state which leads to the higher reward.”
BackgroundInfluentialA Review of the Gumbel-max Trick and its Extensions for Discrete Stochasticity in Machine Learning
Huijben, I. A. M., Kool, W., Paulus, M. B., & van Sloun, R. J. G. (2022) · IEEE Transactions on Pattern Analysis and Machine Intelligence · doi:10.1109/tpami.2022.3157042 · Cited by 106
“Gum- bel-top-k sampling also has connections to ranking literature, as it was shown by [106] that the Gumbel distribution is the only distribution of discriminal scores in a Thursto-nian ranking model [132], inducing a ranking that satisfies Luce’s axiom of choice [127].”
Optimal Bayesian Recommendation Sets and Myopically Optimal Choice Query Sets
Viappiani, P., & Boutilier, C. E. (2010) · neural information processing systems · Cited by 83
Comparing Traditional and IRT Scoring of Forced-Choice Tests
Hontangas, P. M., TORRE, J. D. L., Ponsoda, V., Leenen, I., Morillo, D., & Abad, F. J. (2015) · Applied Psychological Measurement · doi:10.1177/0146621615585851 · Cited by 82
Vecchiato, D., & Tempesta, T. (2015) · Energy · doi:10.1016/j.energy.2015.04.036 · Cited by 95
Evidence on the Equivalence of the Strategic and Extensive Form Representation of Games
Cooper, D. J., & Huyck, J. B. V. (2001) · Cited by 83
Burns, T. R., & Roszkowska, E. (2016) · Theoretical Economics Letters · doi:10.4236/tel.2016.62022 · Cited by 109
Accounting for Individual Differences in Bradley-Terry Models by Means of Recursive Partitioning
Strobl, C., Wickelmaier, F., & Zeileis, A. (2011) · Journal of Educational and Behavioral Statistics · doi:10.3102/1076998609359791 · Cited by 79
“In a measurement-theoretic approach, Luce (1959) showed that the model can be derived from a simple axiom for the choice probabilities.”
Method(2006) · Springer eBooks · doi:10.1007/3-540-29607-7_7 · Cited by 84
Betthauser, J. L., Krall, J. T., Bannowsky, S. G., Levay, G., Kaliki, R. R., Fifer, M. S., & Thakor, N. V. (2020) · IEEE Transactions on Biomedical Engineering · doi:10.1109/tbme.2019.2943309 · Cited by 73
“The final decoder output is fed to a fullyconnected time-distributed layer with softmax activation [30] to produce C class probabilities, ŷt , at each time, t:”
MethodThe landscape of econometric discrete choice modelling research
Haghani, M., Bliemer, M. C. J., & Hensher, D. A. (2021) · Journal of Choice Modelling · doi:10.1016/j.jocm.2021.100303 · Cited by 83
Ranking mechanisms in twitter-like forums
Sarma, A. D., Sarma, A. D., Gollapudi, S., et al. (2010) · ACM International Conference on Web Search and Data Mining (WSDM) · doi:10.1145/1718487.1718491 · Cited by 79
“Another popular choice is the logistic function 1 (1+e−αx) [10, 15].”
BackgroundMethodInfluentialInterpersonal comparison of subjective probabilities: Toward translating linguistic probabilities
Dhami, M. K., & Wallsten, T. S. (2005) · Memory & Cognition · doi:10.3758/bf03193213 · Cited by 75
“…the left of person B's function for β. Finally, since this technique maps judgments of events to intervals (or functions), which sometimes overlap, rather than to points, it yields a semiorder (Luce, 1959) rather than a linear order of subjective probabilities both within and between participants.”
BackgroundDo lottery payments induce savings behavior? Evidence from the lab
Filiz‐Ozbay, E., Guryan, J., Hyndman, K., et al. (2015) · Journal of Public Economics · doi:10.1016/j.jpubeco.2015.02.007 · Cited by 77
“Luce (1959) shows that if we choose F (·) as the logistic CDF where λ is the inverse standard deviation parameter, then the probability that the decision maker i chooses a lottery `a over `b for question j is equal to the binary logit such that:”
Context-dependent outcome encoding in human reinforcement learning
Palminteri, S., & Lebreton, M. P. (2021) · Current Opinion in Behavioral Sciences · doi:10.1016/j.cobeha.2021.06.006 · Cited by 87
Visual attention in multi-attributes choices: What can eye-tracking tell us?
Krucien, N., Ryan, M., & Hermens, F. (2017) · Journal of Economic Behavior & Organization · doi:10.1016/j.jebo.2017.01.018 · Cited by 84
The dynamics of operant conditioning.
Dragoi, V., & Staddon, J. E. R. (1999) · Psychological Review · doi:10.1037/0033-295x.106.1.20 · Cited by 83
Pricing policy and the college choice process
Chapman, R. G. (1979) · Research in Higher Education · doi:10.1007/bf00977498 · Cited by 75
Observational Learning From Internal Feedback: A Simulation of an Adaptive Learning Method
Billman, D. O., & Heit, E. (1988) · Cognitive Science · doi:10.1207/s15516709cog1204_4 · Cited by 71
RLHF Deciphered: A Critical Analysis of Reinforcement Learning from Human Feedback for LLMs
Chaudhari, S., Aggarwal, P., Murahari, V., Rajpurohit, T., Kalyan, A., Narasimhan, K., Deshpande, A., & Castro da Silva, B. (2026) · ACM Computing Surveys · doi:10.1145/3743127 · Cited by 92
Agrawal, A., Ali, A., & Boyd, S. (2021) · Foundations and Trends® in Machine Learning · doi:10.1561/2200000090 · Cited by 82
THE MEASUREMENT THEORY OF FITNESS
Wagner, G. P. (2009) · Evolution · doi:10.1111/j.1558-5646.2009.00909.x · Cited by 76
Testing Transitivity of Preferences on Two-Alternative Forced Choice Data
Regenwetter, M., Dana, J. D., & Davis‐Stober, C. P. (2010) · Frontiers in Psychology · doi:10.3389/fpsyg.2010.00148 · Cited by 73
“…this problem “Luce’s challenge” to pay tribute to mathematical psychologist R. Duncan Luce, who pioneered potential solutions to this problem with his famous choice axiom (Luce, 1959) and who continued to highlight the importance of probabilistic specification throughout his illustrious career.”
BackgroundScaling theory and the nature of measurement
Rozeboom, W. W. (1966) · Synthese · doi:10.1007/bf00485356 · Cited by 74
On Pricing and Composition of Bundles
Bitran, G. R., & Ferrer, J. (2007) · Production and Operations Management · doi:10.1111/j.1937-5956.2007.tb00168.x · Cited by 72
“An important drawback of the MNL model that has been extensively discussed in the literature is the “con-stant ratio rule” or the “independence of irrelevant alternatives” (IIA) property as called by Luce (1959).”
MethodA Selective Review of Travel-Mode Choice Models
Barff, R. A., MacKay, D. B., & Olshavsky, R. W. (1982) · Journal of Consumer Research · doi:10.1086/208877 · Cited by 73
Error-driven learning in visual categorization and object recognition: A common-elements model.
Soto, F. A., & Wasserman, E. A. (2010) · Psychological Review · doi:10.1037/a0018695 · Cited by 72
“After computing these incentive values for each response, choice probabilities are obtained from them using a modification of Luce’s ratio rule (Luce, 1959), known as exponential ratio (Wills, Reimers, Stewart, Suret, & McLaren, 2000) or softmax rule (Bridle, 1990).”
What makes words sound similar?
Hahn, U., & Bailey, T. M. (2005) · Cognition · doi:10.1016/j.cognition.2004.09.006 · Cited by 72
Stochastic Optimization of Sorting Networks via Continuous RelaxationsPreprint
Grover, A., Wang, E. Z., Zweig, A., & Ermon, S. (2019) · arXiv (Cornell University) · doi:10.48550/arxiv.1903.08850 · Cited by 134
“In this regard, we consider the Plackett-Luce (PL) family of distributions over permutations (Plack-ett, 1975; Luce, 1959).”
BackgroundInfluentialGeneralization and similarity in exemplar models of categorization: Insights from machine learning
Jäkel, F., Schölkopf, B., & Wichmann, F. A. (2008) · Psychonomic Bulletin & Review · doi:10.3758/pbr.15.2.256 · Cited by 74
“A very simple and widely used model for choice behavior in general was investigated by Luce (1959, 1963, 1977).”
MethodA Beta Item Response Model for Continuous Bounded Responses
Noël, Y., & Dauvier, B. (2006) · Applied Psychological Measurement · doi:10.1177/0146621605287691 · Cited by 72
“This simple mechanism closely resembles commonly used models in choice theory (Luce, 1959) or reinforcement learning (Herrnstein, 1961).”
MethodNoisy Newtons: Unifying process and dependency accounts of causal attribution
Gerstenberg, T., Goodman, N. D., Lagnado, D. A., & Tenenbaum, J. B. (2012) · eScholarship (California Digital Library) · doi:10.13140/2.1.3832.4160 · Cited by 72
Stöckigt, G., Schiebener, J., & Brand, M. (2018) · Journal of Retailing and Consumer Services · doi:10.1016/j.jretconser.2018.03.018 · Cited by 73
Nonmetric Maximum Likelihood Multidimensional Scaling from Directional Rankings of Similarities
Takane, Y., & Carroll, J. D. (1981) · Psychometrika · doi:10.1007/bf02293797 · Cited by 72
“Thevik"(1) in (10) is interesting in its own sake, since in the case of the multiplicative error model it is equivalent to Luce's model for the first choice [Luce, 1959].”
MethodCost-Based Pragmatic Inference about Referential Expressions
Degen, J., Franke, M., Jäger, G., Knauff, M., Pauen, M., Sebanz, N., & Wachsmuth, I. (2013) · UvA-DARE (University of Amsterdam) · Cited by 73
Multialternative context effects obtained using an inference task
Trueblood, J. S. (2012) · Psychonomic Bulletin & Review · doi:10.3758/s13423-012-0288-9 · Cited by 68
Hedgcock, W. M., Rao, A. R., & Chen, H. A. (2009) · Journal of Marketing Research · doi:10.1509/jmkr.46.3.330 · Cited by 65
“32 observed overweighting of quality over price is consistent with Hardie, Johnson and Fader’s (1993) observation that loss aversion is stronger for quality than for price, and Luce, Payne and Bettman’s (1999) argument of greater emotional impact of changes to quality than to price.”
BackgroundMethodEfficient choice set designs for estimating availability cross-effects models
Anderson, D. A., & Wiley, J. B. (1992) · Marketing Letters · doi:10.1007/bf00993920 · Cited by 70
Moral Bias in Large Elections: Theory and Experimental EvidencePreprint
Feddersen, T. J., Gailmard, S., & Sandroni, A. (2009) · SSRN Electronic Journal · doi:10.2139/ssrn.1402963 · Cited by 70
Asking Easy Questions: A User-Friendly Approach to Active Reward LearningPreprint
Biyik, E., Palan, M., Landolfi, N. C., Losey, D. P., & Sadigh, D. (2019) · Conference on Robot Learning · doi:10.48550/arxiv.1910.04365 · Cited by 151
“We model a noisily rational human as selecting ξ k from Q by This model, backed by neuroscience and psychology [40, 41, 42, 43], is routinely used [18, 33, 44].”
MethodA Multivariate Polya Model of Brand Choice and Purchase Incidence
Wagner, U., & Taudes, A. (1986) · Marketing Science · doi:10.1287/mksc.5.3.219 · Cited by 69
Gallego, G., & Wang, R. (2012) · SSRN Electronic Journal · doi:10.2139/ssrn.1995648 · Cited by 69
Fast and accurate inference of Plackett-Luce models
Maystre, L., & Grossglauser, M. (2015) · Infoscience (Ecole Polytechnique Fédérale de Lausanne) · Cited by 66
Facing the challenge of human-agent negotiations via effective general opponent modeling
Oshrat, Y., Lin, R., & Kraus, S. (2009) · Adaptive Agents and Multi-Agents Systems · doi:10.65109/yvqx3909 · Cited by 68
A decision support framework for flexible system design
Olewnik, A. T., & Lewis, K. E. (2006) · Journal of Engineering Design · doi:10.1080/09544820500274019 · Cited by 68
“Equation (4) is known as the logit model and its original formulation is attributed to Luce (1959), a mathematical psychologist.”
BackgroundSingle-Crossing Random Utility Models
Apesteguía, J., Ballester, M. Á. G., & Lu, J. (2017) · Econometrica · doi:10.3982/ecta14230 · Cited by 68
From partners to populations: A hierarchical Bayesian account of coordination and convention.
Hawkins, R. D., Franke, M., Frank, M. C., Goldberg, A. E., Smith, K., Griffiths, T. L., & Goodman, N. D. (2022) · Psychological Review · doi:10.1037/rev0000348 · Cited by 76
“For αS = 1, this decision rule corresponds to Luce’s choice axiom (Luce, 1959).”
Scalar effects in the visual discrimination of numerosity by pigeons
Emmerton, J., & Renner, J. C. (2006) · Learning & Behavior · doi:10.3758/bf03193193 · Cited by 67
“For practical purposes, the two functions are regarded as extremely similar (Luce, 1959).”
BackgroundPredicting Human Decision-Making
Rosenfeld, A., & Kraus, S. (2018) · Synthesis lectures on artificial intelligence and machine learning · doi:10.2200/s00820ed1v01y201712aim036 · Cited by 87
Ahn, W., Haines, N., & Zhang, L. (2016) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/064287 · Cited by 67
Vagueness, Signaling and Bounded Rationality
Franke, M., Jäger, G., & van Rooij, R. (2011) · Lecture notes in computer science · doi:10.1007/978-3-642-25655-4_5 · Cited by 66
“The interested reader is referred to the classics, such as [35] or [24].”
BackgroundA dynamic stimulus-driven model of signal detection.
Turner, B. M., Zandt, T. V., & Brown, S. D. (2011) · Psychological Review · doi:10.1037/a0025191 · Cited by 65
Confirmation in the Cognitive Sciences: The Problematic Case of Bayesian Models
Eberhardt, F., & Danks, D. J. (2011) · Minds and Machines · doi:10.1007/s11023-011-9241-3 · Cited by 66
Predicting Matchups and Preferences in Context
Chen, S., & Joachims, T. (2016) · ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD) · doi:10.1145/2939672.2939764 · Cited by 66
“By learning from historical game records among the players, traditional statistical models and their extensions [42, 7, 27] have been applied to both realworld sports prediction [29] and the matchmaking systems of online competitive video games [18].”
MethodMeaning and Use of Gradable Adjectives: Formal Modeling Meets Empirical Data
Qing, C., & Franke, M. (2014) · eScholarship (California Digital Library) · Cited by 66
Thurstone Scaling as a Measurement Method to Quantify Subjective Health Outcomes
Krabbe, P. F. M. (2008) · Medical Care · doi:10.1097/mlr.0b013e31815ceca9 · Cited by 64
“Early on, Bradley and Terry(33) introduced a formal version, and Luce extended it (BTL model).(34) Furthermore, Thurstone scaling is closely related to signal detection theory and its receiver operating curve.”
BackgroundAdaptive Polling for Information Aggregation
Pfeiffer, T., Gao, X. A., Chen, Y., Mao, A., & Rand, D. G. (2021) · Proceedings of the AAAI Conference on Artificial Intelligence · doi:10.1609/aaai.v26i1.8099 · Cited by 62
“When the noise follows a Gumbel distribution, the RUM model becomes the Plackett-Luce model (Plackett 1975; Luce 2005).”
MethodNo negative evidence revisited: Beyond learnability or who has to prove what to whom.
Bohannon, J. N., MacWhinney, B., & Snow, C. E. (1990) · Developmental Psychology · doi:10.1037/0012-1649.26.2.221 · Cited by 63
“Within the framework of the choice rule of Luce (1959) and McDonald and MacWhinney (in press), an incrementation of the strength of broke is equivalent to a decrementation of the strength of breaked.”
MethodDecoy effects and attribute-level inferences.
Slaughter, J. E., Sinar, E. F., & Highhouse, S. (1999) · Journal of Applied Psychology · doi:10.1037/0021-9010.84.5.823 · Cited by 63
Generalized Method-of-Moments for Rank Aggregation
Soufiani, H. A., Chen, W. C., Parkes, D. C., & Xia, L. (2013) · Cited by 62
The delay-reduction hypothesis: Extension to three-alternative choice.
Fantino, E. J., & Dunn, R. M. (1983) · Journal of Experimental Psychology Animal Behavior Processes · doi:10.1037//0097-7403.9.2.132 · Cited by 65
Beshears, J. L., Choi, J. J., Laibson, D., & Madrian, B. C. (2008) · National Bureau of Economic Research · doi:10.3386/w13976 · Cited by 59
Inattention and Inertia in Household Finance: Evidence from the Danish Mortgage MarketPreprint
Andersen, S., Campbell, J. Y., Nielsen, K. M., & Ramadorai, T. (2014) · SSRN Electronic Journal · doi:10.2139/ssrn.2463575 · Cited by 63
Categorical invariance and structural complexity in human concept learning
Vigo, R. (2009) · Journal of Mathematical Psychology · doi:10.1016/j.jmp.2009.04.009 · Cited by 62
An Agenda-Setting Theory of Electoral Competition
Dragu, T., & Fan, X. (2016) · The Journal of Politics · doi:10.1086/686310 · Cited by 56
Modeling Intransitivity in Matchup and Comparison Data
Chen, S., & Joachims, T. (2016) · ACM International Conference on Web Search and Data Mining (WSDM) · doi:10.1145/2835776.2835787 · Cited by 62
The perception-adjusted Luce model
Echenique, F., Saito, K., & Tserenjigmid, G. (2018) · Mathematical Social Sciences · doi:10.1016/j.mathsocsci.2018.02.004 · Cited by 58
“This setup is discussed by Tversky (1972a), building on an example of Debreu (1960). In Debreu’s example, x and z are two different recordings of the same Beethoven symphony while y is a suite by Debussy.”
Learning, Innovation and Growth Within Interconected Clusters: An Agent-Based Approach
Maggioni, M. A., & Roncari, S. N. (2009) · Advances in spatial science · doi:10.1007/978-3-540-70924-4_6 · Cited by 62
Perceptual grouping in Gabor lattices: Proximity and alignment
Claessens, P. M. E., & Wagemans, J. P. (2005) · Perception & Psychophysics · doi:10.3758/bf03193649 · Cited by 61
“It is stated as a probabilistic lemma in Luce (1959): The probability ratio of two choices should not depend on the set of alternatives that is under consideration.”
BackgroundCostly enforcement of property rights and the Coase theorem
Robson, A., & Skaperdas, S. (2007) · Economic Theory · doi:10.1007/s00199-007-0268-x · Cited by 61
“6Clark and Riis [9] axiomatize the case f(e) = e, and show in an n player setting that the assumption of ' entering multiplicatively in the CSF is logically equivalent to Luces [29] Choice Axiom.”
PARAMETER EVALUATION OF A SIMPLE MEAN-FIELD MODEL OF SOCIAL INTERACTION
Gallo, I., Barra, A., & Contucci, P. (2009) · Mathematical Models and Methods in Applied Sciences · doi:10.1142/s0218202509003863 · Cited by 60
“…way: σ i = +1 if i says YES −1 if i says NO , Accordingly with the large use of logistic distribution in the econometrics of similar models [21] and with a reasonable statistical mechanics basis beyond [7], we assume that the joint probability distribution of these choices may be a…”
Moreton, E., Pater, J., & Pertsova, K. (2015) · Cognitive Science · doi:10.1111/cogs.12319 · Cited by 61
Pricing When Customers Have Limited Attention
Boyacı, T., & Akçay, Y. (2017) · Management Science · doi:10.1287/mnsc.2017.2755 · Cited by 59
“As shown in Matějka and McKay (2015), when the customer is indifferent to different options in her interim belief, she forms unconditional choice probabilities that are uniform (i.”
Targeting the Switchable Industrial Customer
Gensch, D. H. (1984) · Marketing Science · doi:10.1287/mksc.3.1.41 · Cited by 59
The effect of incidental affect on preference for the status quo
Yen, H. R., & Chuang, S. (2008) · Journal of the Academy of Marketing Science · doi:10.1007/s11747-008-0084-2 · Cited by 64
A Dominance Variant Under the Multi-Unidimensional Pairwise-Preference Framework
Morillo, D., Leenen, I., Abad, F. J., et al. (2016) · Applied Psychological Measurement · doi:10.1177/0146621616662226 · Cited by 58
Monotonic Maximin: A Robust Stackelberg Solution against Boundedly Rational Followers
Jiang, A. X., Nguyen, T. H., Tambe, M., et al. (2013) · Lecture notes in computer science · doi:10.1007/978-3-319-02786-9_8 · Cited by 57
Cucuringu, M. (2016) · IEEE Transactions on Network Science and Engineering · doi:10.1109/tnse.2016.2523761 · Cited by 62
“A very common approach in the ranking literature is to treat the input rankings as data generated from a probabilistic model, and then learn the Maximum Likelihood Estimator of the input data, an idea which has been explored in depth in the machine learning community, and includes the Bradley-Terry-Luce model (BTL) [4…”
BackgroundEffects of Coral Reef Attribute Damage on Recreational Welfare
Wielgus, J., Chadwick-Furman, N. E., Zeitouni, N., et al. (2003) · Marine Resource Economics · doi:10.1086/mre.18.3.42629397 · Cited by 57
“Due to the model’s specifications, it is critical that estimations of indirect utility comply with the Independence of Irrelevant Alternatives (IIA) assumption (Luce 1959); i.”
Decision-making: from neuroscience to neuroeconomics—an overview
Serra, D. (2021) · Theory and Decision · doi:10.1007/s11238-021-09830-3 · Cited by 63
Can adoption of rooftop solar panels trigger a utility death spiral? A tale of two U.S. cities
Muaafa, M., Adjali, I., Bean, P., et al. (2017) · Energy Research & Social Science · doi:10.1016/j.erss.2017.06.041 · Cited by 56
“The probability that a customer will or will not adopt PV is a function of the perceived payback period and a logistic curve that reflects consumer choice behaviors [32,33].”
BackgroundIndependence Properties Vis-À-Vis Several Utility Representations
Marley, A. A. J., & Luce, R. D. (2005) · Theory and Decision · doi:10.1007/s11238-005-2460-4 · Cited by 56
“…and Luce (2001), that any two of the following properties implies the third: (i) RDU, (ii) GDU, and (iii) for events withC D E, the choice property (Luce, 1959) holds: WEðCÞ ¼WDðCÞWEðDÞ: ð16Þ The property of lower gains decomposition, (15), suggests looking also at upper gains decomposition…”
BackgroundSelf-citationPsychology of learning, 1960–1980: One participant's observations.
Greeno, J. G. (1980) · American Psychologist · doi:10.1037/0003-066x.35.8.713 · Cited by 56
Estimation from Pairwise Comparisons: Sharp Minimax Bounds with Topology DependencePreprint
ShahNihar, B., BalakrishnanSivaraman, BradleyJoseph, ParekhAbhay, RamchandranKannan, & WainwrightMartin, J. (2015) · arXiv (Cornell University) · doi:10.48550/arxiv.1505.01462 · Cited by 90
“This class includes as special cases the two most popular models for pairwise comparisons—namely, the Thurstone (Case V) (Thurstone, 1927) and the Bradley-Terry-Luce (BTL) (Bradley and Terry, 1952; Luce, 1959) models.”
BackgroundMethodInfluentialExploded logit modeling of stakeholders' preferences for multiple forest values
Kumar, S., & Kant, S. (2006) · Forest Policy and Economics · doi:10.1016/j.forpol.2006.03.001 · Cited by 55
Integrating Cognitive Process and Descriptive Models of Attitudes and Preferences
Hawkins, G. E., Marley, A. A. J., Heathcote, A., Flynn, T. N., Louviere, J. J., & Brown, S. D. (2013) · Cognitive Science · doi:10.1111/cogs.12094 · Cited by 52
“In applied fields, best-worst data are often analyzed using conditional logit (also called multinomial logit, MNL) models; the basic model is also known in cognitive science as the Luce choice model (Luce, 1959).”
MethodReplicated alternatives and the role of confusion, chasing, and regret in decisions from experience
Ert, E., & Erev, I. (2007) · Journal of Behavioral Decision Making · doi:10.1002/bdm.556 · Cited by 52
“Luce (1959) presents an elegant probabilistic generalization of this principle.”
BackgroundSocially-Compatible Behavior Design of Autonomous Vehicles With Verification on Real Human Data
Wang, L., Sun, L., Tomizuka, M., et al. (2021) · IEEE Robotics and Automation Letters · doi:10.1109/lra.2021.3061350 · Cited by 55
“can be expressed as a function of the ego car’s actions based on the Boltzmann-rational model [17]:”
A New Logit Model for Decision Making and Its Application
Coşkunoğlu, O., Hansotia, B. J., & Shaikh, M. A. (1985) · Journal of the Operational Research Society · doi:10.1057/jors.1985.5 · Cited by 55
A revealed preference analysis of PhD students’ choices over employment outcomes
Conti, A., & Visentin, F. (2015) · Research Policy · doi:10.1016/j.respol.2015.06.009 · Cited by 55
“For our multinomial logit model to correctly estimate the odds associated with the PhDs' occupational attainments, it must exhibit the Independence of Irrelevant Alternatives property (Luce, 1959).”
Theoretical and empirical evaluation of data reduction for exact Kemeny Rank Aggregation
Betzler, N., Bredereck, R., & Niedermeier, R. (2013) · Autonomous Agents and Multi-Agent Systems · doi:10.1007/s10458-013-9236-y · Cited by 52
“Our second source of synthetic instances are samples from the Plackett–Luce model [25,33].”
MethodWynne, C. D. L., von Fersen, L., & Staddon, J. E. R. (1992) · Journal of Experimental Psychology Animal Behavior Processes · doi:10.1037/0097-7403.18.3.313 · Cited by 53
The traveling salesman game: An application ofcost allocation in a gas and oil company
Engevall, S., Göthe‐Lundgren, M., & Värbrand, P. (1998) · Annals of Operations Research · doi:10.1023/a:1018935324969 · Cited by 52
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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