Intuitive Concept Research Articles

Digital ITEMS Module 1: Reliability in Classical Test Theory

AbstractIn this ITEMS module, we provide a two‐part introduction to the topic of reliability from the perspective of classical test theory (CTT). In the first part, which is directed primarily at beginning learners, we review and build on the content presented in the original didactic ITEMS article by Traub and Rowley (1991). Specifically, we discuss the notion of reliability as an intuitive everyday concept to lay the foundation for its formalization as a reliability coefficient via the basic CTT model. We then walk through the step‐by‐step computation of key reliability indices and discuss the data collection conditions under which each is most suitable. In the second part, which is directed primarily at intermediary learners, we present a distribution‐centered perspective on the same content. We discuss the associated assumptions of various CTT models ranging from parallel to congeneric, and review how these affect the choice of reliability statistics. Throughout the module, we use a customized Excel workbook with sample data and basic data manipulation functionalities to illustrate the computation of individual statistics and to allow for structured independent exploration. In addition, we provide quiz questions with diagnostic feedback as well as short videos that walk through sample exercises within the workbook.

Applying algorithm selection to abductive diagnostic reasoning

The complexity of technical systems requires increasingly advanced fault diagnosis methods to ensure safety and reliability during operation. Particularly in domains where maintenance constitutes an extensive portion of the entire operation cost, efficient and effective failure identification holds the potential to provide large economic value. Abduction offers an intuitive concept for diagnostic reasoning relying on the notion of logical entailment. Nevertheless, abductive reasoning is an intractable problem and computing solutions for instances of reasonable size and complexity persists to pose a challenge. In this paper, we investigate algorithm selection as a mechanism to predict the “best” performing technique for a specific abduction scenario within the framework of model-based diagnosis. Based on a set of structural attributes extracted from the system models, our meta-approach trains a machine learning classifier that forecasts the most runtime efficient abduction technique given a new diagnosis problem. To assess the predictor’s selection capabilities and the suitability of the meta-approach in general, we conducted an empirical analysis featuring seven abductive reasoning approaches. The results obtained indicate that applying algorithm selection is competitive in comparison to always choosing a single abductive reasoning method.

Становление и развитие понятия интуиции в философии Нового времени

Становление и развитие понятия интуиции в философии Нового времени

Relativistic Spin-Orbit Heavy Atom on the Light Atom NMR Chemical Shifts: General Trends Across the Periodic Table Explained.

The importance of relativistic effects on the NMR parameters in heavy-atom (HA) compounds, particularly the SO-HALA (Spin-Orbit Heavy Atom on the Light Atom) effect on NMR chemical shifts, has been known for about 40 years. Yet, a general correlation between the electronic structure and SO-HALA effect has been missing. By analyzing 1H NMR chemical shifts of the sixth-period hydrides (Cs-At), we discovered general electronic-structure principles and mechanisms that dictate the size and sign of the SO-HALA NMR chemical shifts. In brief, partially occupied HA valence shells induce relativistic shielding at the light atom (LA) nuclei, while empty HA valence shells induce relativistic deshielding. In particular, the LA nucleus is relativistically shielded in 5d2-5d8 and 6p4 HA hydrides and deshielded in 4f0, 5d0, 6s0, and 6p0 HA hydrides. This general and intuitive concept explains periodic trends in the 1H NMR chemical shifts along the sixth-period hydrides (Cs-At) studied in this work. We present substantial evidence that the introduced principles have a general validity across the periodic table and can be extended to nonhydride LAs. The decades-old question of why compounds with occupied frontier π molecular orbitals (MOs) cause SO-HALA shielding at the LA nuclei, while the frontier σ MOs cause deshielding is answered. We further derive connection between the SO-HALA NMR chemical shifts and Spin-Orbit-induced Electron Deformation Density (SO-EDD), a property that can be obtained easily from differential electron densities and can be represented graphically. SO-EDD provides an intuitive understanding of the SO-HALA effect in terms of the depletion/concentration of the electron density at LA nuclei caused by spin-orbit coupling due to HA in the presence of a magnetic field. Using an analogy between the SO-EDD concept and arguments from classic NMR theory, the complex question of the SO-HALA NMR chemical shifts becomes easily understandable for a wide chemical audience.

A robust weighted SVR-based software reliability growth model

This paper proposes a new software reliability growth model (SRGM), which can be regarded as an extension of the non-parametric SRGMs using support vector regression to predict probability measures of time to software failure. The first novelty underlying the proposed model is the use of a set of weights instead of precise weights as done in the established non-parametric SRGMs, and to minimize the expected risk in the framework of robust decision making. The second novelty is the use of the intersection of two specific sets of weights, produced by the imprecise ε-contaminated model and by pairwise comparisons, respectively. The sets are chosen in accordance to intuitive conceptions concerning the software reliability behaviour during a debugging process. The proposed model is illustrated using several real data sets and it is compared to the standard non-parametric SRGM.

When intuitive conceptions overshadow pedagogical content knowledge: Teachers’ conceptions of students’ arithmetic word problem solving strategies

Intuitive conceptions in mathematics guide the interpretation of mathematical concepts. We investigated if they bias teachers’ conceptions of student arithmetic word problem solving strategies, which should be part of their pedagogical content knowledge (PCK). In individual interviews, teachers and non-teaching adults were asked to describe students’ strategies in situational contexts within or outside the scope of the intuitive conception. The results revealed that teachers relied on their PCK and identified student strategies; however, in the presence of the intuitive conception, their PCK was overshadowed and they ceased to differ significantly from non-teachers. This brings the attention to certain biases that can have a strong impact on teachers’ efficient use of PCK.

Divination and Human Nature. A Cognitive History of Intuition in Classical Antiquity

Divination and Human Nature. A Cognitive History of Intuition in Classical Antiquity

Investigating the correspondence between driver head position and glance location.

The relationship between a driver’s glance orientation and corresponding head rotation is highly complex due to its nonlinear dependence on the individual, task, and driving context. This paper presents expanded analytic detail and findings from an effort that explored the ability of head pose to serve as an estimator for driver gaze by connecting head rotation data with manually coded gaze region data using both a statistical analysis approach and a predictive (i.e., machine learning) approach. For the latter, classification accuracy increased as visual angles between two glance locations increased. In other words, the greater the shift in gaze, the higher the accuracy of classification. This is an intuitive but important concept that we make explicit through our analysis. The highest accuracy achieved was 83% using the method of Hidden Markov Models (HMM) for the binary gaze classification problem of (a) glances to the forward roadway versus (b) glances to the center stack. Results suggest that although there are individual differences in head-glance correspondence while driving, classifier models based on head-rotation data may be robust to these differences and therefore can serve as reasonable estimators for glance location. The results suggest that driver head pose can be used as a surrogate for eye gaze in several key conditions including the identification of high-eccentricity glances. Inexpensive driver head pose tracking may be a key element in detection systems developed to mitigate driver distraction and inattention.

After Non-Euclidean Geometry: Intuition, Truth and the Autonomy of Mathematics

The mathematical developments of the 19th century seemed to undermine Kant’s philosophy. Non-Euclidean geometries challenged Kant’s view that there is a spatial intuition rich enough to yield the truth of Euclidean geometry. Similarly, advancements in algebra challenged the view that temporal intuition provides a foundation for both it and arithmetic. Mathematics seemed increasingly detached from experience as well as its form; moreover, with advances in symbolic logic, mathematical inference also seemed independent of intuition. This paper considers various philosophical responses to these changes, focusing on the idea of modifying Kant’s conception of intuition in order to accommodate the increasing abstractness of mathematics. It is argued that far from clinging to an outdated paradigm, programs based on new conceptions of intuition should be seen as motivated by important philosophical desiderata, such as the truth, apriority, distinctiveness and autonomy of mathematics.

El mundo en la fenomenología de Heidegger. Una aproximación al mundo desde Los Prolegómenos Para Una Historia del Concepto de Tiempo

Heidegger, en su obra de 1925, Prolegómenos Para Una Historia del Concepto de Tiempo, realiza una revisión de la propuesta fenomenológica frente a la tradición filosófica, rescatando los descubrimientos de esta investigación: la intencionalidad, la intuición categorial, y el sentido originario de lo «a priori», así como la importancia del trabajo de Husserl para el desarrollo de la investigación filosófica. El concepto de intuición categorial toma para Heidegger relevancia, y lo caracteriza dentro de su investigación. Lo que aquí pretendo hacer es presentar una interpretación de esta noción a partir de la idea de mundo como dimensión de la constitución de la aparición del ente. Como el mundo se presenta como un tema fundamental para la caracterización de la fenomenología Heideggeriana, intento esbozar una manera de aprehensión del mundo dentro de la ontología fundamental, por medio de la estructura del encontrarse, en alemán Befindlichkeit. Esto anterior, me permitirá analizar la particularidad de la fenomenología de Heidegger y, a la vez, mostrar las aproximaciones conceptuales entre Heidegger y Husserl, por medio de la revisión de dos conceptos: reflexión y epojé, pero siempre en relación al mundo.

Singlet-triplet splittings from the virial theorem and single-particle excitation energies.

The zeroth-order (uncorrelated) singlet-triplet energy difference in single-particle excited configurations is 2Kif, where Kif is the Coulomb self-energy of the product of the transition orbitals. Here we present a non-empirical, virial-theorem argument that the correlated singlet-triplet energy difference should be half of this, namely, Kif. This incredibly simple result gives vertical HOMO-LUMO excitation energies in small-molecule benchmarks as good as the popular TD-B3LYP time-dependent approach to excited states. For linear acenes and nonlinear polycyclic aromatic hydrocarbons, the performance is significantly better than TD-B3LYP. In addition to the virial theorem, the derivation borrows intuitive pair-density concepts from density-functional theory.

Molecular Magnetism – The Attractive Legacy of Olivier Kahn

In 1992, Olivier Kahn (France, 1942–1999) defined the research field of molecular magnetism in the preface of his pioneering book[1] as follows: “Molecular magnetism deals with the magnetic properties of isolated molecules and assemblies of molecules. These molecules may contain one or more magnetic centers. Assemblies of molecules are most often found in molecular crystals with very weak interactions between the molecular entities. They can be found in extended systems, built from molecular precursors or “bricks”, in a way that maximizes the inter actions betweenthe bricks and, hopefully, yields bulk magnetic properties.” In that pedagogic textbook, Olivier Kahn remarkably set up some intuitive concepts for rationalizing the exchange inter action between transition metals, and how to elaborate and assemble appropriate molecular building blocks to direct the desired magnetic interactions. An efficient methodology was thus offered to synthetic chemists. Since then, molecular magnetism has continuously attracted chemists to judiciously design new molecule-based architectures, physicists for advanced characterizations of the properties of these new compounds, and theoreticians to understand and predict their fascinating behavior. This research field is intrinsically multidisciplinary, at the interface of molecular and solid-state sciences, with strong potential to be at the forefront of future technological innovative applications.

Epistemology beyond the brain

Recent and emerging viewpoints in embodiment and knowledge necessitate a reexamination of epistemology within and beyond the brain. Taking a sociocultural approach, this article covers two main types of epistemology beyond the brain, namely, embodied epistemology and nonindividualist epistemology. Using citizen science and music to illustrate related concepts of intuition, experience, and embodiment, this article describes intuition as a cultural system, beyond a purely individual possession. We describe how—in cultural practices such as music—intuition acts as mediator between knowledge and embodiment, and intuition is built and modified by experience over time. Building on Dick's () notion of “holistic perspectivism,” we pose a holistic epistemology approach that embraces knowledge that extends well beyond the purely cognitive, in both embodied situations and systemic manifestations. As information research becomes increasingly interested in the role of the body and its relationship to information, knowledge, intuition, and memory, we argue that such an approach will uncover further dimensions of nonindividualist, systemic, and embodied knowledge.

Collective Intuition: Implications for Improved Decision Making and Organizational Learning

AbstractThis article establishes the foundation for research on collective intuition through a study of decision making and organizational learning processes in police senior management teams. We conceptualize collective intuition asindependently formed judgement based on domain‐specific knowledge, experience and cognitive ability, shared and interpreted collectively. We contribute to intuition research, which has tended to focus its attention at the individual level, by studying intuition collectively in team settings. From a dual‐process perspective, we investigate how expert intuition and deliberation affect decision making and learning at various levels of the organization. Furthermore, we contribute to organizational learning research by offering an empirically derived elaboration of the foundational 4I framework, identifying additional ‘feed‐forward’ and ‘feedback’ loop processes, and thereby providing a more complete account of this organizational learning model. Bridging a variety of relevant but previously unconnected literatures via our focal concept of collective intuition, our research provides a foundation for future studies of this vitally important but under‐researched organizational phenomenon. We offer theoretical and practical implications whereby expert intuitions can be developed and leveraged collectively as valuable sources of organizational knowledge and learning, and contribute to improved decision making in organizations.

Inverse reinforcement learning via nonparametric spatio-temporal subgoal modeling

Advances in the field of inverse reinforcement learning (IRL) have led to sophisticated inference frameworks that relax the original modeling assumption of observing an agent behavior that reflects only a single intention. Instead of learning a global behavioral model, recent IRL methods divide the demonstration data into parts, to account for the fact that different trajectories may correspond to different intentions, e.g., because they were generated by different domain experts. In this work, we go one step further: using the intuitive concept of subgoals, we build upon the premise that even a single trajectory can be explained more efficiently locally within a certain context than globally, enabling a more compact representation of the observed behavior. Based on this assumption, we build an implicit intentional model of the agent's goals to forecast its behavior in unobserved situations. The result is an integrated Bayesian prediction framework that significantly outperforms existing IRL solutions and provides smooth policy estimates consistent with the expert's plan. Most notably, our framework naturally handles situations where the intentions of the agent change over time and classical IRL algorithms fail. In addition, due to its probabilistic nature, the model can be straightforwardly applied in active learning scenarios to guide the demonstration process of the expert.

The Classical Correspondence Theory of Truth and the God of Islam

One of the most intuitive concepts of truth is the classical correspondence theory of truth. Aside from the theoretical cogency and plausibility, this truth theory has two fundamental problems. I shall explore both of these problems. This will not be to reveal the problematic nature of the classical correspondence theory of truth itself, but to demonstrate the implications it has on Islam. I shall establish that the problems of this truth theory contribute in the failure to determine the truth of a particular notion of an Islamic God. Consequently this truth theory would prove inconsistent with a particular notion of God within the Islamic tradition.

Peirce on Intuition, Instinct, & Common Sense

In addition to being a founder of American pragmatism, Charles Sanders Peirce was a scientist and an empiricist. A core aspect of his thoroughgoing empiricism was a mindset that treats all attitudes as revisable. His fallibilism seems to require us to constantly seek out new information, and to not be content holding any beliefs uncritically. At the same time, Peirce often states that common sense has an important role to play in both scientific and vital inquiry, and that there cannot be any “direct profit in going behind common sense.” Our question is the following: alongside a scientific mindset and a commitment to the method of inquiry, where does common sense fit in? Peirce does at times directly address common sense; however, those explicit engagements are relatively infrequent. In this paper, we argue that getting a firm grip on the role of common sense in Peirce’s philosophy requires a three-pronged investigation, targeting his treatment of common sense alongside his more numerous remarks on intuition and instinct. By excavating and developing Peirce’s concepts of instinct and intuition, we show that his respect for common sense coheres with his insistence on the methodological superiority of inquiry. We conclude that Peirce shows us the way to a distinctive epistemic position balancing fallibilism and anti-scepticism, a pragmatist common sense position of considerable interest for contemporary epistemology given current interest in the relation of intuition and reason.

Conceptual Insights into DFT Spin‐State Energetics of Octahedral Transition‐Metal Complexes through a Density Difference Analysis

In this study, an intuitive concept is derived, which explains the characteristic dependence of spin-state energetics on the exact exchange admixture of DFT functionals in the case of octahedral transition metal complexes. The change in electron density distributions upon varying the admixture, c3 , in the B3LYP functional is analyzed for archetype ionic and covalent systems as well as for the Fe2+ ion in an ideal octahedral field. An understanding of how the DFT description of the electronic structure of octahedral complexes changes as a function of c3 is sought. A systematic spin-state energy analysis of 50 octahedral complexes of various metals and ligands with consistent experimental data is presented, allowing the derivation, in theory, of an optimal c3 value for each system. The notion that the admixture dependence of DFT spin-state energetics stems from the treatment of nondynamic electrons arising from the mixing of (M-Lz2 )0 (dz2 )2 and (M-Lx2-y2 )0 (dx2-y2 )2 configurations into the dominant (M-Lx2-y2 )2 (dx2-y2 )0 and (M-Lx2-y2 )2 (dx2-y2 )0 ones in the low(er) spin states is put forward. That is, in the effort to mimic such electron-electron interactions, ExLDA overestimates, whereas exact exchange downplays the contribution of this type of electron correlation to the stability of low(er) spin states, leading to the widespread practical observation that the higher the exact exchange admixture, the more stable the high-spin-state configuration.

Relationship between the use of intuition in clinical practice and the clinical competence of critical care nurses.

Clinical competency has been the main focus of nurse educational systems. To further it, the concept of intuition was introduced into nursing in the 1970s. Benner's theory proposed that greater use of intuition was linked to higher clinical competence; however, there is still a paucity of data to verify this theory. Therefore, the current study was conducted to assess the relationship between the use of intuition in clinical practice and the clinical competence of critical care nurses. In this correlational study, 88 critical care nurses were recruited as convenience. The tools included a 'use of intuition in clinical practice' scale devised by the researcher, and a 'clinical competence' instrument. The gathered data were analyzed by SPSS version 20.0 software, using descriptive and inferential statistics. Of the 88 participants, 73.9% were women and 93.2% were at undergraduate level. The mean and standard deviation of participants' age and work experience was 32.29 ± 6.75 and 7.40 ± 5.68 years, respectively. The Pearson correlation test revealed no significant connection between the use of intuition in clinical practice and the clinical competence of critical care nurses (r = 0.091, P = 0.398), and produced similar results from the various demographic groups (P > 0.05). In this study, no significant correlation between the use of intuition and clinical competence in critical care nurses was found. This could be attributed to intuition as a nursing skill being almost excluded from the educational curriculum of nursing schools, and some background factors.

Using Properties as a Semantic Base for Interoperability

Information exchange requires a common semantic understanding of the meaning of the exchanged data by the involved communication partners. Properties with a predefined and standardized meaning are one pillar of such an information exchange. Another pillar is the exchange of information about relationships between semantic entities by an appropriate system description metamodel. In this paper, we focus on the information exchange of property value expressions. Within the last years, domain-specific lists of properties have been standardized. The development was driven by the need to exchange information of industrial products electronically. The standardized lists allow an unambiguous characterization of products. Results of this comprehensive work done by the standardization committees within the last years are, for example, the international standard series IEC 61360CDD, IEC 61987, and the property library eCl@ss. In these standards, thousands of properties of technical assets are semantically defined. An intuitive and general concept to use these standardized properties for information exchange is crucial for the future system design. One recent approach is the so-called property value statement model . In this paper, the basic concepts of this approach are presented. Additionally, methods to reason about property information in a general way are discussed. The presented concepts fit to the standardized property definition models and build a platform for a metadata-based information handling in the digital factory.