Results for 'preference models'

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  1.  44
    A preference model for choice subject to surprise.Simon Grant & John Quiggin - 2015 - Theory and Decision 79 (2):167-180.
    Grant and Quiggin suggest that agents employ heuristics to constrain the set of acts under consideration before applying standard decision theory, based on their restricted model of the world to the remaining acts. The aim of this paper is to provide an axiomatic foundation, and an associated representation theorem, for the preference model proposed by Grant and Quiggin. The unawareness of the agent is encoded both in the specification of the states and in an elaboration of the set of (...)
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  2.  17
    Learning preference models from data: On the problem of label ranking and its variants.Eyke Hüllermeier & Johannes Fürnkranz - 2008 - In Giacomo Della Riccia, Didier Dubois & Hans-Joachim Lenz (eds.), Preferences and Similarities. Springer. pp. 283--304.
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  3.  10
    Democratic approximation of lexicographic preference models.Fusun Yaman, Thomas J. Walsh, Michael L. Littman & Marie desJardins - 2011 - Artificial Intelligence 175 (7-8):1290-1307.
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  4.  22
    Constraints and preferences: Modelling frameworks and multi-agent settings.Francesca Rossi - 2008 - In Giacomo Della Riccia, Didier Dubois & Hans-Joachim Lenz (eds.), Preferences and Similarities. Springer. pp. 305--320.
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  5.  44
    Mixture of Maximal Quasi Orders: a new Approach to Preference Modelling.Jacinto González-Pachón & Sixto Ríos-Insua - 1999 - Theory and Decision 47 (1):73-88.
    Normative theories suggest that inconsistencies be pointed out to the Decision Maker who is thus given the chance to modify his/her judgments. In this paper, we suggest that the inconsistencies problem be transferred from the Decision Maker to the Analyst. With the Mixture of Maximal Quasi Orders, rather than pointing out incoherences for the Decision Maker to change, these inconsistencies may be used as new source of information to model his/her preferences.
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  6.  3
    A general framework for explaining the results of a multi-attribute preference model.Christophe Labreuche - 2011 - Artificial Intelligence 175 (7-8):1410-1448.
  7.  7
    POPPONENT: Highly accurate, individually and socially efficient opponent preference model in bilateral multi issue negotiations.Farhad Zafari & Faria Nassiri-Mofakham - 2016 - Artificial Intelligence 237 (C):59-91.
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  8. A model of non-informational preference change.Franz Dietrich & Christian List - 2011 - Journal of Theoretical Politics 23 (2):145-164.
    According to standard rational choice theory, as commonly used in political science and economics, an agent's fundamental preferences are exogenously fixed, and any preference change over decision options is due to Bayesian information learning. Although elegant and parsimonious, such a model fails to account for preference change driven by experiences or psychological changes distinct from information learning. We develop a model of non-informational preference change. Alternatives are modelled as points in some multidimensional space, only some of whose (...)
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  9.  81
    Preference change and conservatism: comparing the Bayesian and the AGM models of preference revision.Till Grüne-Yanoff - 2013 - Synthese 190 (14):2623-2641.
    Richard Bradley’s Bayesian model of preference kinematics is compared with Sven Ove Hansson’s AGM-style model of preference revision. Both seek to model the revision of preference orders as a consequence of retaining consistency when some preferences change. Both models are often interpreted normatively, as giving advice on how an agent should revise her preferences. I raise four criticisms of the Bayesian model: it is unrealistic; it neglects an important change mechanism; it disregards endogenous information relevant to (...)
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  10.  38
    Statistical models for the induction and use of selectional preferences.Marc Light & Warren Greiff - 2002 - Cognitive Science 26 (3):269-281.
    Selectional preferences have a long history in both generative and computational linguistics. However, since the publication of Resnik's dissertation in 1993, a new approach has surfaced in the computational linguistics community. This new line of research combines knowledge represented in a pre‐defined semantic class hierarchy with statistical tools including information theory, statistical modeling, and Bayesian inference. These tools are used to learn selectional preferences from examples in a corpus. Instead of simple sets of semantic classes, selectional preferences are viewed as (...)
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  11. Formalizing preference utilitarianism in physical world models.Caspar Oesterheld - 2016 - Synthese 193 (9).
    Most ethical work is done at a low level of formality. This makes practical moral questions inaccessible to formal and natural sciences and can lead to misunderstandings in ethical discussion. In this paper, we use Bayesian inference to introduce a formalization of preference utilitarianism in physical world models, specifically cellular automata. Even though our formalization is not immediately applicable, it is a first step in providing ethics and ultimately the question of how to “make the world better” with (...)
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  12.  8
    Personal Value Preferences, Threat-Benefit Appraisal of Immigrants and Levels of Social Contact: Looking Through the Lens of the Stereotype Content Model.Sophie D. Walsh & Eugene Tartakovsky - 2021 - Frontiers in Psychology 12.
    The study examines a model proposing relationships between personal values, positive (i.e., benefits) and negative (i.e., threats) appraisal of immigrants, and social contact. Based on a values-attitudes-behavior paradigm, the study extends previous work on personal values and attitudes to immigrants by examining not only negative but also positive appraisal and their connection with social contact with immigrants. Using a representative sample of 1,600 adults in the majority population in Israel, results showed that higher preference for anxiety-avoidance values (self-enhancement and (...)
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  13. Preference semantics for deontic logic. Part I: Simple models.Lou Goble - 2003 - Logique Et Analyse 46:383-418.
  14.  9
    Model-preference default theories.Bart Selman & Henry A. Kautz - 1990 - Artificial Intelligence 45 (3):287-322.
  15. Models of decision-making and the coevolution of social preferences.Joseph Henrich, Robert Boyd, Samuel Bowles, Colin Camerer, Ernst Fehr, Herbert Gintis, Richard McElreath, Michael Alvard, Abigail Barr, Jean Ensminger, Natalie Smith Henrich, Kim Hill, Francisco Gil-White, Michael Gurven, Frank W. Marlowe, John Q. Patton & David Tracer - 2005 - Behavioral and Brain Sciences 28 (6):838-855.
    We would like to thank the commentators for their generous comments, valuable insights and helpful suggestions. We begin this response by discussing the selfishness axiom and the importance of the preferences, beliefs, and constraints framework as a way of modeling some of the proximate influences on human behavior. Next, we broaden the discussion to ultimate-level (that is evolutionary) explanations, where we review and clarify gene-culture coevolutionary theory, and then tackle the possibility that evolutionary approaches that exclude culture might be sufficient (...)
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  16.  26
    Person preference choices: Tests of a subtractive averaging model.Irwin P. Levin, Charles F. Schmidt & Kent L. Norman - 1971 - Journal of Experimental Psychology 90 (2):258.
  17.  21
    High-probabilities, model-preference and default arguments.Hector Geffner - 1992 - Minds and Machines 2 (1):51-70.
    In this paper we analyze two recent conditional interpretations of defaults, one based on probabilities, and the other, on models. We study what makes them equivalent, explore their limitations and develop suitable extensions. The resulting framework ties together a number of important notions in default reasoning, like high-probabilities and model-preference, default priorities and argument systems, and independence assumptions and minimality considerations.
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  18.  28
    Surveying Ethics: a Measurement Model of Preference for Precepts Implied in Moral Theories (PPIMT).Veljko Dubljević, Sam Cacace & Sarah L. Desmarais - 2022 - Review of Philosophy and Psychology 13 (1):197-214.
    Recent research in empirical moral psychology attempts to understand (rather than place judgment on) the salient normative differences that laypeople have when making moral decisions by using survey methodology that is based on the operationalized principles from moral theories. The PPIMT is the first measure designed to assess respondents’ preference for the precepts implied in the three dominant moral theories: virtue ethics, deontology, and consequentialism. The current study used a latent modeling approach to determine the most theoretically and psychometrically-sound (...)
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  19.  41
    The preference satisfaction model of linguistic advantage.Brian Carey - 2017 - Critical Review of International Social and Political Philosophy 22 (2):1-21.
  20.  30
    Forelimb preferences in human beings and other species: multiple models for testing hypotheses on lateralization.Elisabetta Versace - 2015 - Frontiers in Psychology 6.
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  21. Preference Semantics for Deontic Logic - Part II: Multiplex Models.Lou Goble - 2004 - Logique Et Analyse 47.
  22.  15
    The preference satisfaction model of linguistic advantage.Brian Carey - 2019 - Critical Review of International Social and Political Philosophy 22 (2):134-154.
  23.  59
    Models of individual preference and choice.Peter C. Fishburn - 1977 - Synthese 36 (3):287 - 314.
  24.  61
    Models of preference reversals and personal rules: Do they require maximizing a utility function with a specific structure?Horacio Arló-Costa - 2005 - Behavioral and Brain Sciences 28 (5):650-651.
    One of the reasons for adopting hyperbolic discounting is to explain preference reversals. Another is that this value structure suggests an elegant theory of the will. I examine the capacity of the theory to solve Newcomb's problem. In addition, I compare Ainslie's account with other procedural theories of choice that seem at least equally capable of accommodating reversals of preference.
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  25. Towards an Ontological Modelling of Preference Relations.Daniele Porello & Giancarlo Guizzardi - 2018 - In C. Ghidini, B. Magnini, A. Passerini & P. Traverso (eds.), AI*IA 2018 - Advances in Artificial Intelligence - XVIIth International Conference of the Italian Association for Artificial Intelligence, Trento, Italy, November 20-23, 2018, Proceedings. Springer. pp. 152--165.
    Preference relations are intensively studied in Economics, but they are also approached in AI, Knowledge Representation, and Conceptual Modelling, as they provide a key concept in a variety of domains of application. In this paper, we propose an ontological foundation of preference relations to formalise their essential aspects across domains. Firstly, we shall discuss what is the ontological status of the relata of a preference relation. Secondly, we investigate the place of preference relations within a rich (...)
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  26.  9
    A General Epidemic Model and Its Application to Mask Design Considering Different Preferences towards Masks.Chaoqian Wang & Hamdi Kavak - 2022 - Complexity 2022:1-13.
    While most masks have a limited effect on personal protection, how effective are they for collective protection? How to enlighten the design of masks from the perspective of collective dynamics? In this paper, we assume three preferences in the population: never wearing a mask; wearing a mask if and only if infected; always wearing a mask. We study the epidemic transmission in an open system within the Susceptible-Infected-Recovered model framework. We use agent-based Monte Carlo simulation and mean-field differential equations to (...)
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  27. Explaining preferred mental models in Allen inferences with a metrical model of imagery.Bettina Berendt - 1996 - In Garrison W. Cottrell (ed.), Proceedings of the Eighteenth Annual Conference of the Cognitive Science Society. Lawrence Erlbaum. pp. 489--494.
     
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  28.  15
    On modelling fuzzy preference relations.Sergei Ovchinnikov - 1991 - In B. Bouchon-Meunier, R. R. Yager & L. A. Zadeh (eds.), Uncertainty in Knowledge Bases. Springer. pp. 154--164.
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  29.  42
    Models of decision-making and the coevolution of social preferences.Henrich Joseph, Boyd Robert, Bowles Samuel, Camerer Colin, Fehr Ernst, Gintis Herbert, McElreath Richard, Alvard Michael, Barr Abigail & Ensminger Jean - 2005 - Behavioral and Brain Sciences 28 (6).
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  30.  39
    A dual system model of preferences under risk.Kanchan Mukherjee - 2010 - Psychological Review 117 (1):243-255.
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  31. The econometric modelling of social preferences.Anna Conte & Peter G. Moffatt - 2014 - Theory and Decision 76 (1):119-145.
    Experimental data on social preferences present a number of features that need to be incorporated in econometric modelling. We explore a variety of econometric modelling approaches to the analysis of such data. The approaches under consideration are: the Random Utility approach ; the Random Behavioural approach ; and the Random Preference approach. These approaches are applied in various ways to an experiment on fairness conducted by Cappelen et al. :818–827, 2007). Various models that we estimate succeed in capturing (...)
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  32.  53
    Beyond the scientific method: Model‐based inquiry as a new paradigm of preference for school science investigations.Mark Windschitl, Jessica Thompson & Melissa Braaten - 2008 - Science Education 92 (5):941-967.
  33.  22
    Contextual choice and other models of preference.James E. Mazur - 2000 - Behavioral and Brain Sciences 23 (1):108-109.
    Grace's contextual-choice model can account for the results from many studies on choice under concurrent-chain schedules. However, other models, including one that I call the “hyperbolic value-added model,” can also account for these results. Preference and resistance to change may indeed be related, but the best model of preference remains to be determined.
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  34. URBAN INFRASTRUCTURE PREFERENCES OF TOWNSFOLK: AN EMPIRICAL SURVEY WITHIN THE FRAMEWORK OF SOCIO-ECOLOGICAL MODEL OF THE CITY.Vitalii Shymko, Daria Vystavkina & Ievgeniia Ivanova - 2020 - Technologies of Intellect Development 4 (2(27)).
    The article presents the results of an interdisciplinary (psychological, behavioral, sociological, urban) survey of residents of elite residential complexes of Odessa regarding theirs urban infrastructure preferences, as well as the degree of satisfaction with their place of residence. It was found that respondents are characterized by a high level of satisfaction with their place of residence. It was also revealed that the security criterion of the district is the main one for choosing a place of residence, which indicates the unmet (...)
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  35.  24
    A Dynamic, Stochastic, Computational Model of Preference Reversal Phenomena.Joseph G. Johnson & Jerome R. Busemeyer - 2005 - Psychological Review 112 (4):841-861.
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  36.  6
    A rational model of people’s inferences about others’ preferences based on response times.Vael Gates, Frederick Callaway, Mark K. Ho & Thomas L. Griffiths - 2021 - Cognition 217 (C):104885.
  37.  11
    Factors Influencing Procurement Officers’ Preference for PPP Procurement Model: An Empirical Analysis of China.Fuguo Cao & Cong Wang - 2022 - Frontiers in Psychology 13.
    The selection of the procurement model, which is a process of discretion exercised by procurement officials, is crucial to the Public-private Partnership procurement performance. From theoretical analysis and international practice, we could find that the negotiation method is more suitable for complex PPP projects, while the tendering method is widely used in China’s PPP procurement. To analyze the reasons for the phenomenon, we used the logit regression model to examine the influence of regulatory competition, risk aversion preference, and tacit (...)
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  38.  9
    A Computationally Efficient User Model for Effective Content Adaptation Based on Domain-Wise Learning Style Preferences: A Web-Based Approach.Dong Pan, Anwar Hussain, Shah Nazir & Sulaiman Khan - 2021 - Complexity 2021:1-15.
    In the educational hypermedia domain, adaptive systems try to adapt educational materials according to the required properties of a user. The adaptability of these systems becomes more effective once the system has the knowledge about how a student can learn better. Studies suggest that, for effective personalization, one of the important features is to know precisely the learning style of a student. However, learning styles are dynamic and may vary domain-wise. To address such aspects of learning styles, we have proposed (...)
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  39.  9
    For a Negative, Normative Model of Consent, With a Comment on Preference-Skepticism.Donald Dripps - 1996 - Legal Theory 2 (2):113-120.
    Let me begin by admitting that I am wary of any comprehensive definition of consent. This bias stems from my professional concentration on criminal law, in which nouons of freedom and responsibility play vital roles in a wide range of contexts. In each context, however, one discovers that freedom means something different. A voluntary act is any bodily movement not caused by external force or nervous disorder. On the other hand, a voluntary act, however horrific its results, ordinarily may be (...)
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  40.  15
    The advantages of model fitting compared to model simulation in research on preference construction.Edgar Erdfelder, Marta Castela, Martha Michalkiewicz & Daniel W. Heck - 2015 - Frontiers in Psychology 6.
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  41.  12
    A graded BDI agent model to represent and reason about preferences.Ana Casali, Lluís Godo & Carles Sierra - 2011 - Artificial Intelligence 175 (7-8):1468-1478.
  42.  22
    Stakeholder's preference and rational compliance: A comment on Sacconi's “CSR as a model for extended corporate governance II: Compliance, reputation and reciprocity”.Pedro Francés-Gómez & Ariel Ridelo - 2008 - Journal of Business Ethics 82 (1):59 - 76.
    Lorenzo Sacconi’s recent re-statement of his social contract account of business ethics is a major contribution to our understanding of the normative nature of CSR as the expression of a fair multi-party agreement supported by the economic rationality of each participant. However, at one crucial point in his theory, Sacconi introduces the concept of stakeholders’ conformist preferences – their disposition to punish the firm if it defects from the agreement, refusing to abide by its own explicit CSR policies and norms. (...)
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  43.  23
    Stakeholder’s Preference and Rational Compliance: A Comment on Sacconi’s “CSR as a Model for Extended Corporate Governance II: Compliance, Reputation and Reciprocity”.Pedro Francés-Gómez & Ariel del Rio - 2008 - Journal of Business Ethics 82 (1):59-76.
    Lorenzo Sacconi's recent re-statement of his social contract account of business ethics is a major contribution to our understanding of the normative nature of CSR as the expression of a fair multi-party agreement supported by the economic rationality of each participant. However, at one crucial point in his theory, Sacconi introduces the concept of stakeholders' conformist preferences - their disposition to punish the firm if it defects from the agreement, refusing to abide by its own explicit CSR policies and norms. (...)
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  44.  18
    A computational model to investigate assumptions in the headturn preference procedure.Christina Bergmann, Louis ten Bosch, Paula Fikkert & Lou Boves - 2013 - Frontiers in Psychology 4.
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  45.  44
    Surveying and modelling China high school students’ experience of and preferences for twenty-first-century learning and their academic and knowledge creation efficacy.Chai Ching Sing, Jyh-Chong Liang, Chin-Chung Tsai & Yan Dong - 2019 - Tandf: Educational Studies 46 (6):658-675.
    Volume 46, Issue 6, November 2020, Page 658-675.
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  46.  24
    Health research access to personal confidential data in England and Wales: assessing any gap in public attitude between preferable and acceptable models of consent.Natasha Taylor & Mark J. Taylor - 2014 - Life Sciences, Society and Policy 10 (1):1-24.
    England and Wales are moving toward a model of ‘opt out’ for use of personal confidential data in health research. Existing research does not make clear how acceptable this move is to the public. While people are typically supportive of health research, when asked to describe the ideal level of control there is a marked lack of consensus over the preferred model of consent. This study sought to investigate a relatively unexplored difference between the consent model that people prefer and (...)
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  47.  22
    CLDA: An Effective Topic Model for Mining User Interest Preference under Big Data Background.Lirong Qiu & Jia Yu - 2018 - Complexity 2018:1-10.
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  48.  5
    Lay Explanatory Models of Depression and Preferred Coping Strategies among Somali Refugees in Norway. A Mixed-Method Study.Valeria Markova & Gro M. Sandal - 2016 - Frontiers in Psychology 7.
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  49.  35
    Nontransitive multidimensional preferences: Theoretical analysis of a model.Oswald Huber - 1979 - Theory and Decision 10 (1-4):147-165.
  50.  49
    Combining strength and uncertainty for preferences in the graph model for conflict resolution with multiple decision makers.Haiyan Xu, Keith W. Hipel, D. Marc Kilgour & Ye Chen - 2010 - Theory and Decision 69 (4):497-521.
    A hybrid preference framework is proposed for strategic conflict analysis to integrate preference strength and preference uncertainty into the paradigm of the graph model for conflict resolution (GMCR) under multiple decision makers. This structure offers decision makers a more flexible mechanism for preference expression, which can include strong or mild preference of one state or scenario over another, as well as equal preference. In addition, preference between two states can be uncertain. The result (...)
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