How Do Artificial Neural Networks Classify Musical Triads? A Case Study in Eluding Bonini's Paradox

How might artificial neural networks (ANNs) inform cognitive science? Often cognitive scientists use ANNs but do not examine their internal structures. In this paper, we use ANNs to explore how cognition might represent musical properties. We train ANNs to classify musical chords, and we interpret network structure to determine what representations ANNs discover and use. We find connection weights between input units and hidden units can be described using Fourier phase spaces, a representation studied in musical set theory. We find the total signal coming through these weighted connection weights is a measure of the similarity between two Fourier structures: the structure of the hidden unit's weights and the structure of the stimulus. This is surprising because neither of these Fourier structures is computed by the hidden unit. We then show how output units use such similarity measures to classify chords. However, we also find different types of units—units that use different activation functions—use this similarity measure very differently. This result, combined with other findings, indicates that while our networks are related to the Fourier analysis of musical sets, they do not perform Fourier analyses of the kind usually described in musical set theory. Our results show Fourier representations of music are not limited to musical set theory. Our results also suggest how cognitive psychologists might explore Fourier representations in musical cognition. Critically, such theoretical and empirical implications require researchers to understand how network structure converts stimuli into responses.     

Comparing graphic and symbolic classification in interactive multiobjective optimization

In interactive multiobjective optimization systems, the classification of objective functions is a convenient way to direct the solution process in order to search for new, more satisfactory, solutions in the set of Pareto optimal solutions. Classification means that the decision maker assigns the objective functions into classes depending on what kind of changes in their values (in relation to the current values) are desirable. Here we study the role of user interfaces in implementing classification in multiobjective optimization software and how classification should be realized. In this way, we want to pay attention to the usability of multiobjective optimization software. Typically, this topic has not been of interest in the multiobjective optimization literature. However, usability aspect is important because in interactive classification‐based multiobjective optimization methods, the classification is the core of the solution process. We can say that the more convenient the classification is, the more efficient the system or the method is and the better it supports the work of the decision maker. We report experiments with two classification options, graphic and symbolic ones, which are used in connection with an interactive multiobjective optimization system WWW‐NIMBUS. The ideas and conclusions given are applicable for other interactive classification‐based method, as well. Copyright © 2005 John Wiley & Sons, Ltd.     

Making the ineffable explicit: estimating the information employed for face classifications

When we look at a face, we readily perceive that person’s gender, expression, identity, age, and attractiveness. Perceivers as well as scientists have hitherto had little success in articulating just what information we are employing to achieve these subjectively immediate and effortless classifications. We describe here a method that estimates that information. Observers classified faces in high levels of visual noise as male or female (in a gender task), happy/unhappy (in an expression task), or Tom Cruise/John Travolta (in an individuation task). They were unaware that the underlying face (which was midway between each of the classes) was identical throughout a task, with only the noise rendering it more like one category value or the other. The difference between the average of noise patterns for each classification decision provided a linear estimate of the information mediating these classifications. When the noise was combined with the underlying face, the resultant images appeared to be excellent prototypes of their respective classes. Other methods of estimating the information employed in complex classification have relied on judgments of exemplars of a class or tests of experimenter-defined hypotheses about the class information. Our method allows an estimate, however subtle, of what is in the subject’s (rather than the experimenter’s) head.     

An Intuitionist Theory of Argument Strength in Politics: How Intuitive Cognitive Biases Produce Universally Strong Arguments

Why are some political arguments more persuasive than others? Extant theories have mainly explained argument strength with reference to familiarity. Such explanations suggest that arguments are only strong for particular populations: those living in particular cultures, those following particular news, or those holding particular political values. Here, we argue for and identify the existence of a universally strong class of arguments transcending such divides: arguments that are congruent with intuitively held cognitive biases. We focus on arguments about social welfare that are congruent with a particular cognitive bias: the deservingness heuristic. Embedding a novel experiment in representative surveys in the United States, Japan, and Denmark, we demonstrate that people intuitively process arguments that resonate with this heuristic and that such arguments are strong across cultural divides, across individual levels of familiarity with the arguments, and across individual differences in political values. Finally, against the idea that intuitive arguments are simplistic, we demonstrate that such arguments can be inferentially complex, as long as they resonate with a cognitive bias.     

基于模式分类的中医医案分析技术

中医药经历数千年的发展,已积累了大量数据,特别是从古到今的医案数据,但这些数据因没有用现代信息手段整理、分析,而不能为中医药的科学研究提供支持。本文将模式分类技术应用于医案数据的分析中,从已知的病症推断出所属的证型。该方法能够进行自动学习,不需要专家的辅助即可从医案中学习到病症和证型的联系。     

PALEY'S iPOD: THE COGNITIVE BASIS OF THE DESIGN ARGUMENT WITHIN NATURAL THEOLOGY

The argument from design stands as one of the most intuitively compelling arguments for the existence of a divine Creator. Yet, for many scientists and philosophers, Hume's critique and Darwin's theory of natural selection have definitely undermined the idea that we can draw any analogy from design in artifacts to design in nature. Here, we examine empirical studies from developmental and experimental psychology to investigate the cognitive basis of the design argument. From this it becomes clear that humans spontaneously discern purpose in nature. When constructed theologically and philosophically correctly, the design argument is not presented as conclusive evidence for God's existence but rather as an abductive, probabilistic argument. We examine the cognitive basis of probabilistic judgments in relationship to natural theology. Placing emphasis on how people assess improbable events, we clarify the intuitive appeal of Paley's watch analogy. We conclude that the reason why some scientists find the design argument compelling and others do not lies not in any intrinsic differences in assessing design in nature but rather in the prior probability they place on complexity being produced by chance events or by a Creator. This difference provides atheists and theists with a rational basis for disagreement.     

Education Level,Occupational Classification,and Perceptions of Differences for Blacks in the United States

A random sample of 1,276 U.S. adults were surveyed about their perceptions of differences for Blacks in the United States based on discrimination, ability to learn, opportunities for education, and willpower. Those with little education and extensive education were more aware of discrimination for Blacks. Higher levels of education as well as professional and managerial work increased awareness that Blacks have the same ability to learn as Whites and that Blacks lack equitable opportunities for an education. Those with less education and those employed in technical and manual labor were the most likely to say Blacks lacked willpower.     

« Actes de conformation sexuée imposés aux personnes intersexuées : qualification pénale,responsabilité des médecins,sanctions »

Under French criminal law, acts of gendered conformation imposed on intersex persons can be qualified as volontary violence and, in some cases, volontary mutilating violence. French doctors who perform these acts may be held criminally liable. They can be sentenced to up to 20 years of imprisonment.     

Diagnostic Classification Models: Recent Developments,Practical Issues,and Prospects

More than three decades after their introduction, diagnostic classification models (DCM) do not seem to have been implemented in educational systems for the purposes they were devised. Most DCM research is either methodological for model development and refinement or retrofitting to existing nondiagnostic tests and, in the latter case, basically for model demonstration or constructs identification. DCMs have rarely been used to develop diagnostic assessment right from the start with the purpose of identifying individuals’ strengths and weaknesses (referred to as true applications in this study). In this article, we give an introduction to DCMs and their latest developments along with guidelines on how to proceed to employ DCMs to develop a diagnostic test or retrofit to a nondiagnostic assessment. Finally, we enumerate the reasons why we believe DCMs have not become fully operational in educational systems and suggest some advice to make their advent smooth and quick.     

On the Legacy of Christian Ethics in Comparative Religious Ethics

This essay is an exploratory inquiry into possible Christian ethical residues in the field of comparative religious ethics (CRE), focusing particularly on the themes of tradition and canon, trajectories of ethical reflection, emancipatory criticism, common morality, and the notion of discipline. It is suggested that even if such traces exist, they may not be detrimental to the field as currently practiced.