Computer Science Artificial Intelligence

Cognitive Science and Mapping

Description

This cluster of papers focuses on the application of Fuzzy Cognitive Maps (FCMs) in modeling complex systems, decision support, and knowledge representation. It explores various learning algorithms for FCMs, their use in scenario development for social-ecological systems, prediction in healthcare decision making, and their role in multi-criteria analysis.

Keywords

Fuzzy Cognitive Maps; Modeling; Decision Support; Knowledge Representation; Learning Algorithms; Scenario Development; Social-Ecological Systems; Prediction; Healthcare Decision Making; Multi-Criteria Analysis

From the Publisher: Dramatically updating and extending the first edition, published in 1995, the second edition of The Handbook of Brain Theory and Neural Networks presents the enormous progress made … From the Publisher: Dramatically updating and extending the first edition, published in 1995, the second edition of The Handbook of Brain Theory and Neural Networks presents the enormous progress made in recent years in the many subfields related to the two great questions: How does the brain work? and, How can we build intelligent machines? Once again, the heart of the book is a set of almost 300 articles covering the whole spectrum of topics in brain theory and neural networks. The first two parts of the book, prepared by Michael Arbib, are designed to help readers orient themselves in this wealth of material. Part I provides general background on brain modeling and on both biological and artificial neural networks. Part II consists of Maps to help readers steer through articles in part III on specific topics of interest. The articles in part III are written so as to be accessible to readers of diverse backgrounds. They are cross-referenced and provide lists of pointers to Road Maps, background material, and related reading. The second edition greatly increases the coverage of models of fundamental neurobiology, cognitive neuroscience, and neural network approaches to language. It contains 287 articles, compared to the 266 in the first edition. Articles on topics from the first edition have been updated by the original authors or written anew by new authors, and there are 106 articles on new topics.
garden of Eden before the serpent introduces science, and with that, the need for natural-kind concepts).Those readers prepared to stick through this small but densely argued book will be rewarded … garden of Eden before the serpent introduces science, and with that, the need for natural-kind concepts).Those readers prepared to stick through this small but densely argued book will be rewarded with a sparkling display of elo-quence, as well as a glimpse of the vast panorama of issues surrounding what you might have thought was a small technical problem, but which Fodor shows us is one of the central outstanding problems of cognitive science.
Now available in paper, The Architecture of Cognition is a classic work that remains relevant to theory and research in cognitive science. The new version of Anderson's theory of cognitive … Now available in paper, The Architecture of Cognition is a classic work that remains relevant to theory and research in cognitive science. The new version of Anderson's theory of cognitive architecture -- Adaptive Control of Thought (ACT*) -- is a theory of the basic principles of operation built into the cognitive system and is the main focus of the book. (http://books.google.fr/books?id=Uip3_g7zlAUC&printsec=frontcover&hl=fr#v=onepage&q&f=false)
Originally published in 1992, this book presents original psychophysiological research based on computerized techniques of recording and evaluating event-related brain potentials. The application of multichannel magnetoencephalography greatly contributes to exact … Originally published in 1992, this book presents original psychophysiological research based on computerized techniques of recording and evaluating event-related brain potentials. The application of multichannel magnetoencephalography greatly contributes to exact localization of corresponding neuronal generators responsible for attention. The book contains a bulk of information concerning data obtained by cognitive psychology in the area of study of attention. These results are closely linked with neurophysiological investigation of attention.
The study of age-related changes in cognitive processes is flourishing as never before, making the area an exciting one for a growing number of researchers. In addition, cognitive aging research … The study of age-related changes in cognitive processes is flourishing as never before, making the area an exciting one for a growing number of researchers. In addition, cognitive aging research is moving out from its traditional roots in experimental and developmental psychology -- creating increased contact with cognitive neuropsychology and cognitive neuroscience. To reflect these changes in the field, this volume includes chapters on abnormal aging, the neuroscience of aging, and applied cognitive psychology along with the core section on basic cognitive processes. While other recent compilations of research in this area have given relatively brief overviews of the literature, the contributors were given space to review each topic in depth, asked to evaluate the field -- not simply their own contributions -- and to provide critical commentaries from their personal perspectives. Couched most often in terms of cognitive or information-processing models, the general perspective of the contributors is a biologically-based account of aging. This shared viewpoint gives the volume particular coherence in its treatment of theories and data. Topics covered include age differences in attention, perception, memory, knowledge representation, reasoning, and language as well as their neuropsychological and neurological correlates and practical implications.
This book brings together and assesses past and present research on information processing, and formulates a new general model of this entire system. Throughout his discussion, Cowan emphasizes that memory … This book brings together and assesses past and present research on information processing, and formulates a new general model of this entire system. Throughout his discussion, Cowan emphasizes that memory and attention cannot be considered independently and presents new research in psychophysiology, visual perception, cognitive development, and individual differences to support his thesis. This book offers both a review of the literature and a new model, and it will appeal to both the student and the professional interested in memory, attention, and cognitive psychology.
First, the span of absolute judgment and the span of immediate memory impose severe limitations on the amount of information that we are able to receive, process, and remember. By … First, the span of absolute judgment and the span of immediate memory impose severe limitations on the amount of information that we are able to receive, process, and remember. By organizing the stimulus input simultaneously into several dimensions and successively into a sequence or chunks, we manage to break (or at least stretch) this informational bottleneck. Second, the process of recoding is a very important one in human psychology and deserves much more explicit attention than it has received. In particular, the kind of linguistic recoding that people do seems to me to be the very lifeblood of the thought processes. Recoding procedures are a constant concern to clinicians, social psychologists, linguists, and anthropologists and yet, probably because recoding is less accessible to experimental manipulation than nonsense syllables or T mazes, the traditional experimental psychologist has contributed little or nothing to their analysis. Nevertheless, experimental techniques can be used, methods of recoding can be specified, behavioral indicants can be found. And I anticipate that we will find a very orderly set of relations describing what now seems an uncharted wilderness of individual differences. Third, the concepts and measures provided by the theory of information provide a quantitative way of getting at some of these questions. The theory provides us with a yardstick for calibrating our stimulus materials and for measuring the performance of our subjects. In the interests of communication I have suppressed the technical details of information measurement and have tried to express the ideas in more familiar terms; I hope this paraphrase will not lead you to think they are not useful in research. Informational concepts have already proved valuable in the study of discrimination and of language; they promise a great deal in the study of learning and memory; and it has even been proposed that they can be useful in the study of concept formation. A lot of questions that seemed fruitless twenty or thirty years ago may now be worth another look. In fact, I feel that my story here must stop just as it begins to get really interesting. And finally, what about the magical number seven? What about the seven wonders of the world, the seven seas, the seven deadly sins, the seven daughters of Atlas in the Pleiades, the seven ages of man, the seven levels of hell, the seven primary colors, the seven notes of the musical scale, and the seven days of the week? What about the seven-point rating scale, the seven categories for absolute judgment, the seven objects in the span of attention, and the seven digits in the span of immediate memory? For the present I propose to withhold judgment. Perhaps there is something deep and profound behind all these sevens, something just calling out for us to discover it. But I suspect that it is only a pernicious, Pythagorean coincidence.
Introduction The Nature of Theories What Are Unified Theories of Cognition? Is Psychology Ready for Unified Theories? The Task of the Book Foundations of Cognitive Science Behaving Systems Knowledge Systems … Introduction The Nature of Theories What Are Unified Theories of Cognition? Is Psychology Ready for Unified Theories? The Task of the Book Foundations of Cognitive Science Behaving Systems Knowledge Systems Representation Machines and Computation Symbols Architectures Intelligence Search and Problem Spaces Preparation and Deliberation Summary Human Cognitive Architecture The Human Is a Symbol System System Levels The Time Scale of Human Action The Biological Band The Neural Circuit Level The Real-Time Constraint on Cognition The Cognitive Band The Level of Simple Operations The First Level of Composed Operations The Intendedly Rational Band Higher Bands: Social, Historical, and Evolutionary Summary Symbolic Processing for Intelligence The Central Architecture for Performance Chunking The Total Cognitive System RI-Soar: Knowledge-Intensive and Knowledge-Lean Operation Designer-Soar: Difficult Intellectual Tasks Soar as an Intelligent System Mapping Soar onto Human Cognition Soar and the Shape of Human Cognition Summary Immediate Behavior The Scientific Role of Immediate-Response Data Methodological Preliminaries Functional Analysis of Immediate Responses The Simplest Response Task (SRI) The Two-Choice Response Task (2CRT) Stimulus-Response Compatibility (SRC) Discussion of the Three Analyses Item Recognition Typing Summary Memory, Learning, and Skill The Memory and Learning Hypothesis of Soar The Soar Qualitative Theory of Learning The Distinction between Episodic and Semantic Memory Data Chunking Skill Acquisition Short-Term Memory (STM) Summary Intendedly Rational Behavior Ciyptarithmetic Syllogisms Sentence Verification Summary Along the Frontiers Language Development The Biological Band The Social Band The Role of Applications How to Move toward Unified Theories of Cognition References Name Index Subject Index
Contents: Part I:Introduction. Preliminaries. Levels of a Cognitive Theory. Current Formulation of the Levels Issues. The New Theoretical Framework. Is Human Cognition Rational? The Rest of This Book. Appendix: Non-Identifiability … Contents: Part I:Introduction. Preliminaries. Levels of a Cognitive Theory. Current Formulation of the Levels Issues. The New Theoretical Framework. Is Human Cognition Rational? The Rest of This Book. Appendix: Non-Identifiability and Response Time. Part II:Memory. Preliminaries. A Rational Analysis of Human Memory. The History Factor. The Contextual Factor. Relationship of Need and Probability to Probability and Latency of Recall. Combining Information From Cues. Implementation in the ACT Framework. Effects of Subject Strategy. Conclusions. Part III:Categorization. Preliminaries. The Goal of Categorization. The Structure of the Environment. Recapitulation of Goals and Environment. The Optimal Solution. An Iterative Algorithm for Categorization. Application of the Algorithm. Survey of the Experimental Literature. Conclusion. Appendix: The Ideal Algorithm. Part IV:Causal Inference. Preliminaries. Basic Formulation of the Causal Inference Problem. Causal Estimation. Cues for Causal Inference. Integration of Statistical and Temporal Cues. Discrimination. Abstraction of Causal Laws. Implementation in a Production System. Conclusion. Appendix. Part V:Problem Solving. Preliminaries. Making a Choice Among Simple Actions. Combining Steps. Studies of Hill Climbing. Means-Ends Analysis. Instantiation of Indefinite Objects. Conclusions on Rational Analysis of Problem Solving. Implementation in ACT. Appendix: Problem Solving and Clotheslines. Part VI:Retrospective. Preliminaries. Twelve Questions About Rational Analysis.
Arguably, the most critical time frame for organizational participants to develop trust is at the beginning of their relationship. Using primarily a cognitive approach, we address factors and processes that … Arguably, the most critical time frame for organizational participants to develop trust is at the beginning of their relationship. Using primarily a cognitive approach, we address factors and processes that enable two organizational parties to form relatively high trust initially. We propose a model of specific relationships among several trust-related constructs and two cognitive processes. The model helps explain the paradoxical finding of high initial trust levels in new organizational relationships.
This new edition continues the story of psychology with added research and enhanced content from the most dynamic areas of the field--cognition, gender and diversity studies, neuroscience and more, while … This new edition continues the story of psychology with added research and enhanced content from the most dynamic areas of the field--cognition, gender and diversity studies, neuroscience and more, while at the same time using the most effective teaching approaches and learning tools
Meeting of Minds The performance of humans across a range of different kinds of cognitive tasks has been encapsulated as a common statistical factor called g or general intelligence factor. … Meeting of Minds The performance of humans across a range of different kinds of cognitive tasks has been encapsulated as a common statistical factor called g or general intelligence factor. What intelligence actually is, is unclear and hotly debated, yet there is a reproducible association of g with performance outcomes, such as income and academic achievement. Woolley et al. (p. 686 , published online 30 September) report a psychometric methodology for quantifying a factor termed “collective intelligence” ( c ), which reflects how well groups perform on a similarly diverse set of group problem-solving tasks. The primary contributors to c appear to be the g factors of the group members, along with a propensity toward social sensitivity—in essence, how well individuals work with others.
I propose the index h, defined as the number of papers with citation number > or =h, as a useful index to characterize the scientific output of a researcher. I propose the index h, defined as the number of papers with citation number > or =h, as a useful index to characterize the scientific output of a researcher.
Comparison of Values of Pearson's and Spearman's Correlation Coefficients on the Same Sets of Data Spearman's rank correlation coefficient is a nonparametric (distribution-free) rank statistic proposed by Charles Spearman as … Comparison of Values of Pearson's and Spearman's Correlation Coefficients on the Same Sets of Data Spearman's rank correlation coefficient is a nonparametric (distribution-free) rank statistic proposed by Charles Spearman as a measure of the strength of an association between two variables. It is a measure of a monotone association that is used when the distribution of data makes Pearson's correlation coefficient undesirable or misleading. Spearman's coefficient is not a measure of the linear relationship between two variables, as some "statisticians" declare. It assesses how well an arbitrary monotonic function can describe a relationship between two variables, without making any assumptions about the frequency distribution of the variables. Unlike Pearson's product-moment correlation coefficient, it does not require the assumption that the relationship between the variables is linear, nor does it require the variables to be measured on interval scales; it can be used for variables measured at the ordinal level. The idea of the paper is to compare the values of Pearson's product-moment correlation coefficient and Spearman's rank correlation coefficient as well as their statistical significance for different sets of data (original - for Pearson's coefficient, and ranked data for Spearman's coefficient) describing regional indices of socio-economic development.
Education policy faces a familiar public policy challenge: Local implementation is difficult. In this article we develop a cognitive framework to characterize sense-making in the implementation process that is especially … Education policy faces a familiar public policy challenge: Local implementation is difficult. In this article we develop a cognitive framework to characterize sense-making in the implementation process that is especially relevant for recent education policy initiatives, such as standards-based reforms that press for tremendous changes in classroom instruction. From a cognitive perspective, a key dimension of the implementation process is whether, and in what ways, implementing agents come to understand their practice, potentially changing their beliefs and attitudes in the process. We draw on theoretical and empirical literature to develop a cognitive perspective on implementation. We review the contribution of cognitive science frames to implementation research and identify areas where cognitive science can make additional contributions.
1 of 9 10/29/07 11:49 AM David J. Snowden ([email protected]) is the founder and chief scientific officer of Cognitive Edge, an international research network. He is based primarily in Lockeridge, … 1 of 9 10/29/07 11:49 AM David J. Snowden ([email protected]) is the founder and chief scientific officer of Cognitive Edge, an international research network. He is based primarily in Lockeridge, England. Mary E. Boone ([email protected]) is the president of Boone Associates, a consulting firm in Essex, Connecticut, and the author of numerous books and articles, including Managing Interactively (McGraw-Hill, 2001).
A revolution in the science of emotion has emerged in recent decades, with the potential to create a paradigm shift in decision theories. The research reveals that emotions constitute potent, … A revolution in the science of emotion has emerged in recent decades, with the potential to create a paradigm shift in decision theories. The research reveals that emotions constitute potent, pervasive, predictable, sometimes harmful and sometimes ...Read More
This study investigates how audit organizations leverage generative artificial intelligence technologies to enhance auditing capabilities through organizational adaptation mechanisms, examining the role of dynamic capabilities in facilitating successful AI adoption … This study investigates how audit organizations leverage generative artificial intelligence technologies to enhance auditing capabilities through organizational adaptation mechanisms, examining the role of dynamic capabilities in facilitating successful AI adoption and performance improvements. A quantitative cross-sectional survey collected data from 312 audit professionals across diverse organizational contexts. Structural equation modeling examined relationships between dynamic capabilities, generative AI adoption, organizational adaptation mechanisms, and auditing performance with comprehensive measurement validation. Dynamic capabilities significantly influence generative AI adoption (β = 0.453, p < 0.001), which drives organizational adaptation mechanisms (β = 0.312, p < 0.001) that enhance auditing performance (β = 0.378, p < 0.001). Organizational adaptation mechanisms mediate 41.4% of the capability-performance relationship. The model explains 28.3% variance in AI adoption, 35.7% in adaptation mechanisms, and 31.2% in auditing performance. Audit organizations should prioritize developing sensing, seizing, and reconfiguring capabilities before AI investments, requiring comprehensive change management addressing structural, processual, and cultural dimensions simultaneously. AI-driven competitive advantages emerge through organizational transformation processes, with dynamic capabilities as antecedents and adaptation mechanisms as mediating processes.
Air quality management concerns the assessment, analysis and mitigation strategies associated with ensuring that air is breathable and non-toxic. Successful management is a cognitively intensive task, knowledge-focused and converges multiple … Air quality management concerns the assessment, analysis and mitigation strategies associated with ensuring that air is breathable and non-toxic. Successful management is a cognitively intensive task, knowledge-focused and converges multiple sources of information to develop a shared understanding of a problem. To operate effectively in this space, managers and operational teams share common points of reference in discussing problems and solutions, strategies, tactical briefings, etc., and communication and technical language use are key to the discipline. However, few studies have homed in on the language communities of air quality management discourse, and fewer still have exploited this to gain insight into the cognitive processes underpinning salient operational knowledge production. This paper draws upon a discussion from a multi-stakeholder workshop on bioaerosols and the built environment and draws upon Cognitive Linguistics to systematically examine the cognitive structuring of those different stakeholder representations. This approach is then explored as a contribution to good practice in air quality knowledge management and communication that is consistent with studies on cognitive and learning science and has potential for policy formulation.
This study provides a neuropsychological examination of the conceptualization of perceived person-environment fit in relation to its cognitive and affective components. It addresses key challenges in the current fit literature … This study provides a neuropsychological examination of the conceptualization of perceived person-environment fit in relation to its cognitive and affective components. It addresses key challenges in the current fit literature through empirically clarifying the theoretical "black box" of how individuals cognitively compare themselves to their environment, fundamentally examining affective aspects of fit beyond correlational analysis, and exploring whether psychological and neural perspectives offer different conceptualizations of fit. Two functional magnetic resonance imaging studies, involving 62 and 41 working adults respectively, show that both lateral brain regions (associated with higher order cognition) and medial brain regions (associated with emotion processing) are activated when participants perceive fit. In addition, relational fit involves more emotion processing compared to rational fit, while misfit involves greater negative emotion processing than fit. An unexpected and illuminating finding is that perceived fit also engages social cognitive processing, related to theory of mind. As an additional part of the examination of perceived fit conceptualization, supplementary research indicates that, compared to job satisfaction, perceived fit engages more social brain regions (associated with social cognition), while job satisfaction exhibits greater activation in prefrontal cortex regions (linked to motivation and goal attainment). A third study, using a field survey with text analysis to examine the psychological processes underlying perceived fit and job satisfaction, replicates all hypothesized neurological findings from the two functional magnetic resonance imaging studies. Theoretical and managerial implications, as well as directions for future research, are discussed. (PsycInfo Database Record (c) 2025 APA, all rights reserved).
Talent significantly influences urban technological innovation and sustainable economic development. Enhancing urban talent competitiveness (UTC) necessitates a systemic perspective on upgrading and optimizing the combination of both tangible and intangible … Talent significantly influences urban technological innovation and sustainable economic development. Enhancing urban talent competitiveness (UTC) necessitates a systemic perspective on upgrading and optimizing the combination of both tangible and intangible resources, such as economic vitality, livability, and social harmony, which is a typical configurational issue. This paper utilizes empirical data from 96 Chinese cities and applies an innovative grey quantitative comparative analysis (GQCA) method to investigate the impact and mechanisms of different urban talent ecology (UTE) on talent competitiveness. The findings reveal that there are no bottleneck factors constraining UTC within the sample, interactions, and couplings among six urban talent elements that generated 30 distinct UTEs. By calculating the possibility of each UTE achieving talent competitiveness, it was found that 16 UTEs, characterized by vibrant business-led development, comprehensive development and integrated leadership, regional development leadership, and economy-led international innovation, lead to high UTC. Conversely, 14 UTEs result in low UTC. These findings were further validated through fuzzy set qualitative comparative analysis (fsQCA) for robustness testing. Finally, the study offers policy recommendations for urban talent strategies from both short-term and long-term perspectives.
Circa 25 anni fa, B.J. Fogg ha avviato la ricerca sul tema della tecnologia persuasiva, nota come captologia. La persuasione è considerata un contributo importante alla motivazione, fondamentale per il … Circa 25 anni fa, B.J. Fogg ha avviato la ricerca sul tema della tecnologia persuasiva, nota come captologia. La persuasione è considerata un contributo importante alla motivazione, fondamentale per il successo nell’apprendimento. Tuttavia, solo di recente la captologia è stata presa in considerazione nel contesto della didattica. Oggi, i cambiamenti radicali determinati dalla proliferazione dell’IA richiedono una riconsiderazione del ruolo della captologia quando si utilizza l’IA per la didattica. In questo articolo proponiamo una tassonomia dell’uso dell’IA adottando la lente della captologia, illustrando con alcuni casi di studio come alcuni interventi educativi potrebbero essere definiti in termini di captologia. Partendo dalle tre componenti della triade funzionale della captologia, i casi di studio esaminati contribuiscono ad illustrare la tassonomia proposta. In ogni caso di studio illustriamo gli elementi che potrebbero aiutare nell’apprendimento delle lingue straniere. La tassonomia proposta potrebbe essere utilizzata sia a livello descrittivo per classificare gli interventi consentiti dall’IA nei sistemi educativi esistenti, sia a livello prescrittivo per dare forma allo sviluppo di nuove soluzioni tecniche di integrazione dell’IA nella didattica. Il presente contributo fornisce un quadro teorico e linee guida pratiche per la possibile adozione futura dell’IA nell’istruzione. AI-assisted, AI-supported or AI-generated: A captology-inspired taxonomy for the use of artificial intelligence in education More than 25 years ago, B.J Fogg founded the research on persuasive technology, or captology for short. Nowadays, it is widely agreed that persuasion is an important part of the motivation to make learning successful. Yet, only recently captology has been considered in the context of education. Today, the radical changes driven by the emergence of GenAI, call for a reconsideration of the role captology plays when considering AI use for education. We propose a taxonomy of AI use through the lens of captology - how a range of learner-facing educational interventions could be mapped in terms of captology, and illustrate this with case studies. Starting with the components of captology’s functional triad, we collocate representative examples that help illustrate the proposed taxonomy. In each case study, we illustrate the elements that could help in foreign language learning. The proposed taxonomy could be used both descriptively to classify the AI-enabled interventions in existing educational systems, and prescriptively to shape the development of new technical features. This contribution shapes both a theoretical framework, and practical guidelines towards possible future adoption of AI in education.
How do people represent social networks in their minds? Inspired by work on spatial navigation, recent research reveals how people use domain-general computational principles to build cognitive maps for navigating … How do people represent social networks in their minds? Inspired by work on spatial navigation, recent research reveals how people use domain-general computational principles to build cognitive maps for navigating their social environments. However, some aspects of our social worlds, such as the densely interconnected networks we are embedded in—and the dynamics of information flow within them—challenge the particular construct of a Euclidean cognitive map that has evolved in the study of spatial navigation. Recent research reveals different types of abstract representations people can use to build efficient cognitive maps for navigating social networks. We argue that to solve challenges inherent to navigating social relationships (e.g., figuring out whom to trust or gossip with, building coalitions made up of weak ties), people build cognitive maps of both the direct and indirect relational ties surrounding them. Although the incorporation of indirect ties makes these maps nonveridical, their addition aids in flexible, adaptive behavior, which can be used for successfully navigating any complex social environment.
El presente estudio tuvo como objetivo la estandarización del proceso de ensamblaje de paneles solares fotovoltaicos mediante el diseño de un manual técnico en una empresa manufacturera ubicada en Río … El presente estudio tuvo como objetivo la estandarización del proceso de ensamblaje de paneles solares fotovoltaicos mediante el diseño de un manual técnico en una empresa manufacturera ubicada en Río Blanco, Veracruz, México. El estudio tiene un enfoque cuantitativo, alcance descriptivo y diseño transversal. Se seleccionaron a cinco participantes involucrados directamente con el ensamble. Se empleó el cursograma analítico y las ayudas visuales, permitiendo documentar las actividades desarrolladas en las seis áreas clave del proceso productivo de la empresa, siendo: soldadura, pre-laminado, laminado, enmarcado, limpieza y prueba y empaque. La recopilación y sistematización de esta información permitió identificar 76 actividades ejecutadas en 152 minutos y 47 segundos, sirviendo como base para estandarización de los procesos y el diseño del manual técnico. Este manual busca fortalecer la capacitación del personal y la mejora continua en los procesos y eficiencia operativa en manufactura de la empresa de paneles solares fotovoltaicos.
The world’s population continues to grow at an unprecedented rate, with urban areas experiencing a more rapid rise in population density than rural regions. This demographic shift compels decision-makers to … The world’s population continues to grow at an unprecedented rate, with urban areas experiencing a more rapid rise in population density than rural regions. This demographic shift compels decision-makers to address pressing urban challenges and rethink future structures of cities. However, a vision for global sustainable urban growth remains elusive, as planners often lack comprehensive, credible and dynamic models to guide decision-making. The main purpose of this study is to propose a process-oriented methodology that integrates cognitive mapping, interpretive structural modeling (ISM) and a matrice d’impacts croisés multiplication appliquée à un classement (MICMAC) analysis to evaluate and prioritize key determinants of urban development. Group work sessions involving decision-makers from diverse fields were conducted to identify critical variables influencing urban development. Unlike traditional models, the proposed approach emphasizes participatory decision-making. By combining cognitive mapping and ISM-MICMAC, this study enables the identification of causal relationships among variables and allows decision-makers to anticipate trends and prioritize challenges effectively. The findings were further validated by an external expert to ensure neutrality and reliability. Overall, this study provides a theoretical contribution to decision-making methodologies while offering a practical framework for urban planners to influence cities toward a sustainable future.
Regina E. Fabry | Routledge eBooks
This study introduces a novel theoretical framework termed "Quantum-Cognitive Strategic Leadership" (QCSL) that synthesizes quantum cognition theory with complexity science to understand strategic decision-making in uncertain environments. Unlike traditional strategic … This study introduces a novel theoretical framework termed "Quantum-Cognitive Strategic Leadership" (QCSL) that synthesizes quantum cognition theory with complexity science to understand strategic decision-making in uncertain environments. Unlike traditional strategic leadership models that rely on linear decision-making paradigms, QCSL incorporates principles of cognitive superposition, strategic uncertainty management, and adaptive intelligence architectures. Through systematic application of this framework to contemporary intelligence governance, we demonstrate how meta-strategic thinking enables leaders to navigate complex, multi-domain challenges while maintaining coherent operational effectiveness. The framework's empirical validation through case study methodology reveals how quantum-cognitive principles manifest in practical strategic leadership, offering new theoretical insights for strategic studies, cognitive science, and public administration. This research contributes to emerging literature on complexity-based leadership theory while providing practical frameworks for developing strategic capabilities in uncertain environments.
<title>Abstract</title> Experiences are often fragmented. Reorganizing them into a coherent structure, or cognitive map, allows for inferences about unobserved relationships. A prominent theory suggests that offline replay is important for … <title>Abstract</title> Experiences are often fragmented. Reorganizing them into a coherent structure, or cognitive map, allows for inferences about unobserved relationships. A prominent theory suggests that offline replay is important for this reorganization of knowledge. However, testing this idea is hard because it requires tracking neural activity throughout the entire course of learning and reorganization. Here, we measured replay in humans throughout this process using Magnetoencephalography (MEG). This takes about 8 hours. We show that replay learns the cognitive map offline during rest, reducing the need for online computation during inferences. Subjects first experienced fragmented information along one-dimensional slices of a two-dimensional (2D) map. During rest, fast offline replay played trajectories in the 2D space - forming links that had never been experienced. This offline replay predicted the later emergence of a compact grid-cell-like code online. It is a generalizable schema representation across maps. During inference, we observed two different speeds of replay. Slow replay preferentially played out the immediate inference and was localized to the prefrontal cortex. Fast replay, developing later, played the background map and was associated with the medial temporal lobe. Fast replay was positively correlated with grid-cell-like representations, while slow replay was negatively correlated and linked to poorer inference performance. This indicates that the learned cognitive map reduces the need for slow, trial-specific computation online. Overall, these findings suggest that offline replay reorganizes sporadic experiences into structured knowledge, enabling efficient behavior.
In today’s hyperconnected world, disaster announcements—regardless of actual impact—can significantly shape consumer behaviour and brand perception in the hospitality sector. This study investigates how customers respond online to disaster-related signals, … In today’s hyperconnected world, disaster announcements—regardless of actual impact—can significantly shape consumer behaviour and brand perception in the hospitality sector. This study investigates how customers respond online to disaster-related signals, focusing on digital marketing activities by luxury hotels in Santorini, Greece. Drawing on a case study of the Santorini Earthquake in February 2025—during which the Greek government declared a state of emergency—we use big data analytics, including web traffic metrics, social media interaction and fuzzy cognitive mapping, to analyse behavioural shifts across platforms. The findings indicate that disaster signals trigger increased engagement, altered sentiment and changes in advertising efficiency. This study provides actionable recommendations for tourism destinations and hospitality brands on how to adapt digital strategies during crisis periods.
Pitanje iz naslova ovoga članka postavio je Daniele Molinini prije gotovo deset godina, uz tvrdnju da do tada na njega nije bio jasno artikuliran odgovor. Povećana učestalost pojma autentično matematičko … Pitanje iz naslova ovoga članka postavio je Daniele Molinini prije gotovo deset godina, uz tvrdnju da do tada na njega nije bio jasno artikuliran odgovor. Povećana učestalost pojma autentično matematičko objašnjenje može se pratiti unatrag do rada Alana Bakera, objavljenog prije otprilike dvadeset godina. Nažalost i danas, dva desetljeća kasnije, teško možemo tvrditi da je došlo do značajnijeg napretka u razumijevanju pojmovnih nijansi toga izraza. Bakerov pojačani argument neizostavnosti, za razliku od Quine–Putnamova argumenta neizostavnosti, temelji se na važnosti matematičkog objašnjenja u znanosti, s posebnim naglaskom na ono što se naziva pravim matematičkim objašnjenjem. Ovaj se pojam navodi kako u tekstovima autora koji zagovaraju platonistička stajališta, tako i onih koji zastupaju nominalističke pozicije. Razmotrit ćemo tumačenja toga izraza kod trojice autora, nastojeći uočiti zajedničke elemente, s nadom da će naša analiza makar skromno pridonijeti kristalizaciji njegova značenja, u mjeri u kojoj je to moguće u skladu s intuicijom.