Journal of Mathematical Psychology最新文献

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A class of random utility models yielding the exploded logit
IF 2.2 4区 心理学
Journal of Mathematical Psychology Pub Date : 2025-01-24 DOI: 10.1016/j.jmp.2025.102900
Karim Kilani
{"title":"A class of random utility models yielding the exploded logit","authors":"Karim Kilani","doi":"10.1016/j.jmp.2025.102900","DOIUrl":"10.1016/j.jmp.2025.102900","url":null,"abstract":"<div><div>We reexamine a family of distributions introduced within the framework of random utility models by David Strauss. This family generates ranking probabilities of the exploded logit model and, de facto, the choice probabilities of the multinomial logit model. We explore the necessary and sufficient conditions for its validity within the copula theory. By specifying the minimal assumptions required for the support of the marginal utility distributions, we clarify and reinforce the fundamental structure of the model, proving that it relies on strict archimedean copulas. Additionally, we provide a new mathematical proof by induction on the number of alternatives confirming that these utility distributions indeed generate the exploded logit model.</div></div>","PeriodicalId":50140,"journal":{"name":"Journal of Mathematical Psychology","volume":"124 ","pages":"Article 102900"},"PeriodicalIF":2.2,"publicationDate":"2025-01-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143167636","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"心理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Dimensions of knowledge structures
IF 2.2 4区 心理学
Journal of Mathematical Psychology Pub Date : 2025-01-10 DOI: 10.1016/j.jmp.2024.102898
Jean-Paul Doignon , Luca Stefanutti
{"title":"Dimensions of knowledge structures","authors":"Jean-Paul Doignon ,&nbsp;Luca Stefanutti","doi":"10.1016/j.jmp.2024.102898","DOIUrl":"10.1016/j.jmp.2024.102898","url":null,"abstract":"<div><div>A knowledge structure is inherently one-dimensional when its collection of states forms a chain. But how to define the dimension of a knowledge structure in general? We investigate four options: (i) the <em>ordinal dimension</em>, which is the dimension of the poset consisting of all states ordered by inclusion; (ii) for a knowledge space, the <em>spatial dimension</em> which is the least number of one-dimensional knowledge spaces which generate the space (a notion extending from learning spaces to knowledge spaces the dual of the convex dimension of an antimatroid); (iii) the <em>bidimension</em>, which is the bidimension of the membership relation from items to states, in either the intersection or the union version of the bidimension. Our results establish or disprove inequalities among the four dimension parameters for knowledge structures, for knowledge spaces, for terse knowledge structures, for terse knowledge spaces, and finally for learning spaces. We finally list some problems for future research.</div></div>","PeriodicalId":50140,"journal":{"name":"Journal of Mathematical Psychology","volume":"124 ","pages":"Article 102898"},"PeriodicalIF":2.2,"publicationDate":"2025-01-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143167638","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"心理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Characterizing master fringes in competence-based knowledge space theory for personalized learning applications
IF 2.2 4区 心理学
Journal of Mathematical Psychology Pub Date : 2024-12-28 DOI: 10.1016/j.jmp.2024.102897
Gongxun Wang , Jinjin Li , Bo Wang , Chenyi Tao
{"title":"Characterizing master fringes in competence-based knowledge space theory for personalized learning applications","authors":"Gongxun Wang ,&nbsp;Jinjin Li ,&nbsp;Bo Wang ,&nbsp;Chenyi Tao","doi":"10.1016/j.jmp.2024.102897","DOIUrl":"10.1016/j.jmp.2024.102897","url":null,"abstract":"<div><div>This paper proposes a general method to directly compute the outer (inner) master fringe of the knowledge state based on the top or bottom of the equivalence class of competence state, and a general method for personalized learning guidance (reinforcement learning recommendation) based on competences and the master fringe. Two characterization theorems are mainly given: one characterizes the top (bottom) of competence states using skill functions; the other characterizes the outer (inner) master fringe of knowledge states using problem functions. As applications of two characterization theorems, the first is to provide a new method to directly obtain the corresponding competence state’s top or bottom from the knowledge state. The second application is to integrate skills into the competence-based master fringe, which takes into account the influence of students’ latent competences, resulting in more precise values.</div></div>","PeriodicalId":50140,"journal":{"name":"Journal of Mathematical Psychology","volume":"124 ","pages":"Article 102897"},"PeriodicalIF":2.2,"publicationDate":"2024-12-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143167568","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"心理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Remarks on learning spaces 关于学习空间的评论
IF 2.2 4区 心理学
Journal of Mathematical Psychology Pub Date : 2024-11-20 DOI: 10.1016/j.jmp.2024.102890
Xun Ge
{"title":"Remarks on learning spaces","authors":"Xun Ge","doi":"10.1016/j.jmp.2024.102890","DOIUrl":"10.1016/j.jmp.2024.102890","url":null,"abstract":"<div><div>This paper discusses learning spaces in the sense of Eppstein et al. (2008) to show that: (1) a learning space need not to have a base; (2) an essentially finite learning space need not to be well-graded; (3) the positive content family of a closed rooted medium need not to be a knowledge structure, and so it need not to be a learning space. These results disprove three assertions in Eppstein et al. (2008).</div></div>","PeriodicalId":50140,"journal":{"name":"Journal of Mathematical Psychology","volume":"123 ","pages":"Article 102890"},"PeriodicalIF":2.2,"publicationDate":"2024-11-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142699419","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"心理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
On using the fixed-point property of binary mixtures to discriminate among models of recognition memory 利用二元混合物的定点特性区分识别记忆模型
IF 2.2 4区 心理学
Journal of Mathematical Psychology Pub Date : 2024-11-12 DOI: 10.1016/j.jmp.2024.102889
F. Gregory Ashby
{"title":"On using the fixed-point property of binary mixtures to discriminate among models of recognition memory","authors":"F. Gregory Ashby","doi":"10.1016/j.jmp.2024.102889","DOIUrl":"10.1016/j.jmp.2024.102889","url":null,"abstract":"<div><div>A variety of different recognition-memory models make different psychological assumptions, but similar predictions about ROC curves in old–new recognition-memory experiments. Some models assume that recognition responses are produced by a unitary process and other models assume they are a binary mixture of two qualitatively different types of responses. This note shows that despite their similar ROC predictions, the binary-mixture models make some striking predictions that the unitary models do not make. Specifically, in any experiment that includes conditions in which the mixture probability varies but the component distributions do not, the binary-mixture models predict that all response time probability density functions must intersect at the same time point (if they intersect at all). Similarly, they also all predict that if the ROC curves intersect, they must also all intersect at the same point.</div></div>","PeriodicalId":50140,"journal":{"name":"Journal of Mathematical Psychology","volume":"123 ","pages":"Article 102889"},"PeriodicalIF":2.2,"publicationDate":"2024-11-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142652220","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"心理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Homomorphisms between problem spaces 问题空间之间的同构
IF 2.2 4区 心理学
Journal of Mathematical Psychology Pub Date : 2024-10-31 DOI: 10.1016/j.jmp.2024.102888
Andrea Brancaccio, Luca Stefanutti
{"title":"Homomorphisms between problem spaces","authors":"Andrea Brancaccio,&nbsp;Luca Stefanutti","doi":"10.1016/j.jmp.2024.102888","DOIUrl":"10.1016/j.jmp.2024.102888","url":null,"abstract":"<div><div>In procedural knowledge space theory (PKST), a “problem space” is a formal representation of the knowledge that is needed for solving all of the problems of a certain type. The competence state of a real problem solver is a subset of the problem space which satisfies a specific condition, named the “sub-path assumption”. There could exist specific “symmetries” in a problem space that make certain parts of it “equivalent” up to those symmetries. Whenever an equivalence relation is introduced for elements in a problem space, the question almost naturally arises whether the collection of the induced equivalence classes forms, itself, a problem space. This is the main question addressed in the present article, which is restated as the problem of defining a homomorphism of one problem space into another problem space. Two types of homomorphisms are examined, which are named the “strong” and the “weak homomorphism”. The former corresponds to the usual notion of “operation preserving mapping”. The latter preserves operations in only one direction. Two algorithms are developed for testing the existence of homomorphisms between problem spaces. The notions and algorithms are illustrated in a series of three examples in which quite well-known neuro-psychological and cognitive tests are employed.</div></div>","PeriodicalId":50140,"journal":{"name":"Journal of Mathematical Psychology","volume":"123 ","pages":"Article 102888"},"PeriodicalIF":2.2,"publicationDate":"2024-10-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142554922","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"心理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
On the mathematical formalization of the Inhibited Elements Model 关于抑制要素模型的数学形式化
IF 2.2 4区 心理学
Journal of Mathematical Psychology Pub Date : 2024-10-28 DOI: 10.1016/j.jmp.2024.102887
Natham Aguirre
{"title":"On the mathematical formalization of the Inhibited Elements Model","authors":"Natham Aguirre","doi":"10.1016/j.jmp.2024.102887","DOIUrl":"10.1016/j.jmp.2024.102887","url":null,"abstract":"<div><div>The Inhibited Elements Model (Brandon et al., 2000; Wagner and Brandon, 2000) has been proposed as an elemental model that may reproduce the configural model proposed by Pearce (1987, 1994), and although its mathematical formalization has been recently improved by Thorwart and Lachnit (2020), whether it actually reproduces Pearce’s model has remained an open question. In this work I further develop the mathematical formalization of the Inhibited Elements Model by casting it within the formalism proposed by Ghirlanda (2015, 2018). In doing so I will derive the conditions under which the Inhibited Elements Model reproduces Pearce’s model, showing that when all stimuli are assumed of the same “salience” these models coincide only when the application is restricted to compounds that either contain each other or have no common elements. Finally, the mathematical formalization developed here will be applied to the analytic comparison of the Inhibited Elements Model, Rescorla and Wagner’s model (Rescorla and Wagner, 1972; Wagner and Rescorla, 1972), and Pearce’s model in the context of several learning phenomena.</div></div>","PeriodicalId":50140,"journal":{"name":"Journal of Mathematical Psychology","volume":"123 ","pages":"Article 102887"},"PeriodicalIF":2.2,"publicationDate":"2024-10-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142533979","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"心理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Understanding the geometrical properties of an Ames room and controlling it systematically and quantitatively 了解艾美斯房间的几何特性,并对其进行系统和定量控制
IF 2.2 4区 心理学
Journal of Mathematical Psychology Pub Date : 2024-10-10 DOI: 10.1016/j.jmp.2024.102885
Vladislav Myrov , Elena Gorina , Kristina Vodorezova , Maria Dvoeglazova , Ekaterina Koshmanova , Elena S. Gorbunova , Tadamasa Sawada
{"title":"Understanding the geometrical properties of an Ames room and controlling it systematically and quantitatively","authors":"Vladislav Myrov ,&nbsp;Elena Gorina ,&nbsp;Kristina Vodorezova ,&nbsp;Maria Dvoeglazova ,&nbsp;Ekaterina Koshmanova ,&nbsp;Elena S. Gorbunova ,&nbsp;Tadamasa Sawada","doi":"10.1016/j.jmp.2024.102885","DOIUrl":"10.1016/j.jmp.2024.102885","url":null,"abstract":"<div><div>Within an Ames room, the perceived size of objects, such as people, changes dynamically when the objects move about within the room. The shape of the Ames room is not actually rectangular but it is perceived to be rectangular. Unfortunately, the geometrical properties of the Ames room have often been misunderstood, and rooms that have different shapes are also referred to as “Ames rooms” in many articles. In this study, the geometrical properties of the original Ames rooms constructed by Adelbert Ames, Jr. were analyzed and the generalization of the Ames room was discussed. We found that these original Ames rooms are 3D-to-3D perspective transformations of rectangular illusory rooms. Based on this analysis, we also developed a computational model that can construct a generalized Ames room that has a hexahedral shape with some free parameters that quantitatively control (i) the size and aspect-ratio of a rectangular illusory room, (ii) the amount of distortion of the Ames room from a rectangular room, and (iii) the viewpoint of an observer. This model was implemented as a computational program so that an Ames room can be constructed in a VR space. Note that the transformations of the Ames rooms can be applied to an arbitrary 3D scene and that they can be regarded as members of a subset of 3D-to-3D perspective transformations. Any perspective transformation in this subset distorts the 3D scene in such a way that the retinal image of the distorted scene, when seen from a specific viewpoint, is identical to the retinal image of the initial scene, when seen from a specific viewpoint. These generalizations allow us to control the conditions of an Ames room systematically with more flexibility when we study this illusion.</div></div>","PeriodicalId":50140,"journal":{"name":"Journal of Mathematical Psychology","volume":"123 ","pages":"Article 102885"},"PeriodicalIF":2.2,"publicationDate":"2024-10-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142423771","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"心理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
A computational account of self-control 自我控制的计算方法
IF 2.2 4区 心理学
Journal of Mathematical Psychology Pub Date : 2024-10-08 DOI: 10.1016/j.jmp.2024.102886
Gaurav Suri, Kenneth R. Paap
{"title":"A computational account of self-control","authors":"Gaurav Suri,&nbsp;Kenneth R. Paap","doi":"10.1016/j.jmp.2024.102886","DOIUrl":"10.1016/j.jmp.2024.102886","url":null,"abstract":"<div><div>Self-control is core to human well-being. However, the lack of a well-specified, computationally tractable framework related to self-control makes it difficult to clarify underlying mechanisms, interpret relevant empirical phenomena, or develop interventions helpful in promoting self-control. To help address this gap, we invite consideration of the Comparison with Goal States Model (CGSM) for self-control. The CGSM amplifies activations related to available options whose representations are similar to representations of relevant goals and diminishes activations related to available options whose representations are dissimilar to representations of relevant goals. For example, influenced by healthy eating goals, the CGSM would amplify activations related to an apple and diminish activations related to a cookie, leading to an eventual preference for the apple, even though the cookie might be initially preferred. The CGSM successfully explicates observations related to reaction time in food choice, dynamics reflected in mouse-tracking trajectories, and showcases a mechanism by which hyperbolic discount curves in temporal discounting contexts might emerge. We use the CGSM to propose theoretical constraints on the nature of self-control and describe how multiple strategies have the potential to promote self-control.</div></div>","PeriodicalId":50140,"journal":{"name":"Journal of Mathematical Psychology","volume":"123 ","pages":"Article 102886"},"PeriodicalIF":2.2,"publicationDate":"2024-10-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142423769","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"心理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
A Coupled Hidden Markov Model framework for measuring the dynamics of categorization 测量分类动态的耦合隐马尔可夫模型框架
IF 2.2 4区 心理学
Journal of Mathematical Psychology Pub Date : 2024-09-27 DOI: 10.1016/j.jmp.2024.102884
Manuel Villarreal, Michael D. Lee
{"title":"A Coupled Hidden Markov Model framework for measuring the dynamics of categorization","authors":"Manuel Villarreal,&nbsp;Michael D. Lee","doi":"10.1016/j.jmp.2024.102884","DOIUrl":"10.1016/j.jmp.2024.102884","url":null,"abstract":"<div><div>We introduce a new framework for measuring the dynamics of category learning using Coupled Hidden Markov Models (CHMMs). The key assumptions of the framework are that people maintain a latent assignment of every stimulus to a category, and that they can update the assignments for all stimuli whenever they encounter any stimulus. These assumptions contrast with many existing accounts of category learning, which either do not allow for what is learned about one stimulus to influence the category association of others, or allow only for indirect influence. The CHMM framework allows tailored models to be developed for specific category learning tasks, taking as input the stimulus sequence and category responses people make, and producing as output inferences about the underlying dynamics of category assignments and the mechanics of the response processes. We demonstrate the framework by applying it to a categorization task considered by Lee and Navarro (2002), showing how the model measures the change in participants’ latent category assignments as they learn the category structure. We conclude by discussing potential applications of the CHMM framework to category learning situations involving prior knowledge, changing category structures, and category learning tasks that involve the consideration of multiple stimuli at one time.</div></div>","PeriodicalId":50140,"journal":{"name":"Journal of Mathematical Psychology","volume":"123 ","pages":"Article 102884"},"PeriodicalIF":2.2,"publicationDate":"2024-09-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142327333","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"心理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
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