All Stories

  1. Breaking the chains of independence: A Bayesian uncertainty model of normative violations in human causal probabilistic reasoning
  2. An Agent‐Based Model of Semantic Memory Search: Disentangling Cognitive Control and Semantic Space Organization
  3. Rules in the mist: Emerging probabilistic rules in uncertain categorization
  4. Towards scalable and reliable coding of semantic property norms: ChatGPT vs. an improved AC-PLT
  5. Measuring the semantic priming effect across many languages
  6. Bridging consciousness and AI: ChatGPT-assisted phenomenological analysis
  7. Breaking the chains of independence: A Bayesian uncertainty model of normative violations in human causal probabilistic reasoning
  8. Single and multiple systems in probabilistic categorization
  9. Validity of a One-Stop Automatic Algorithm for Counting Clusters and Shifts in the Semantic Fluency Task
  10. WordListsAnalytics: An R package for multiple data analysis of Property Listing Tasks
  11. A NEW HORIZON IN MIXED-METHOD STUDIES: CHATGPT-ASSISTED PHENOMENOLOGICAL ANALYSIS
  12. A mathematical model of semantic access in lexical and semantic decisions
  13. Validity of a one-stop automatic algorithm for counting clusters and shifts in the Semantic Fluency Task
  14. Author Correction: Neurocognitive correlates of semantic memory navigation in Parkinson’s disease
  15. Neurocognitive correlates of semantic memory navigation in Parkinson’s disease
  16. Mechanisms Behind Public School Enrollment Trends in School Choice Systems: The Case of Chile
  17. AC-PLT: An algorithm for computer-assisted coding of semantic property listing data
  18. Describing and understanding the time course of the property listing task
  19. Uncertainty can explain apparent mistakes in causal reasoning
  20. A Context‐Dependent Bayesian Account for Causal‐Based Categorization
  21. Challenges from Probabilistic Learning for Models of Brain and Behavior
  22. Use of Agent-Based Modeling (ABM) in Psychological Research
  23. Using agreement probability to study differences in types of concepts and conceptualizers
  24. On the importance of feedback for categorization: Revisiting category learning experiments using an adaptive filter model.
  25. An adaptive linear filter model of procedural category learning
  26. Mechanisms Underlying Choice-Set Formation: The Case of School Choice in Chile
  27. CPNCoverageAnalysis: An R package for parameter estimation in conceptual properties norming studies
  28. Computational Cognitive models of Categorization: Predictions under Conditions of Classification Uncertainty
  29. Know your priors: Task specific priors reflect subjective expectations in Bayesian models of categorization
  30. An Adaptive Linear Filter model of procedural category learning
  31. Language Processing Differences Between Blind and Sighted Individuals and the Abstract Versus Concrete Concept Difference
  32. Eliciting semantic properties: methods and applications
  33. Mathematical regularities of data from the property listing task
  34. How to carry out conceptual properties norming studies as parameter estimation studies: Lessons from ecology
  35. Informational content of cosine and other similarities calculated from high-dimensional Conceptual Property Norm data
  36. Modeling stereotypes and negative self‐stereotypes as a function of interactions among groups with power asymmetries
  37. Manipulating the Alpha Level Cannot Cure Significance Testing
  38. The role of variability in the property listing task
  39. Response surface methodology for estimating missing values in a pareto genetic algorithm used in parameter design
  40. Why the designer's intended function is central for proper function assignment and artifact conceptualization: Essentialist and normative accounts
  41. Modeling Inferential Minds In Conceptual Space
  42. Procesamiento semántico de palabras epistémicas y metafísicas en niños y adolescentes con Trastorno de Espectro Autista (TEA) y con Desarrollo Típico (DT)
  43. Using sequential approximate optimization and a genetic algorithm to calibrate agent-based models
  44. When are concepts comparable across minds?
  45. Calibrating Agent-Based Models Using a Genetic Algorithm
  46. Calibrating Agent-Based Models Using an Improved Genetic Algorithm
  47. The Association Between Group Size And Communicational Complexity According To Conceptual Agreement Theory
  48. Inference and coherence in causal-based artifact categorization
  49. The dynamics of social agreement according to Conceptual Agreement Theory
  50. Modeling Agreement in Social Groups Using Conceptual Agreement Theory
  51. The Proper Function of Artifacts: Intentions, Conventions and Causal Inferences
  52. The Life of Concepts: An ABM of Conceptual Drift in Social Groups
  53. La Edad Se Correlaciona Directamente con la Fuerza de los Estereotipos de Género: Evidencia Obtenida en unaTarea de Memoria de Reconocimiento
  54. Conceptual agreement theory
  55. The Power of Collective Action: How Agents Get Rid of Useless Concepts without Even Noticing Their Futility
  56. Property generation reflects word association and situated simulation
  57. The Spreading and Demise of Concepts in Social Groups
  58. Situational information contributes to object categorization and inference
  59. Creators’ intentions bias judgments of function independently from causal inferences
  60. The Role of Function in Categories
  61. Reporte de Investigación: El Efecto de ser Observado Sobre el Rendimiento en una Tarea de Fluidez Verbal
  62. A causal model of the meaning of cause, enable, and prevent
  63. The HIPE Theory of Function
  64. Assessing the Causal Structure of Function.
  65. The Error-Reaction Time Correlation as a Prediction of Category Verification Models