Integrated Data Representation and Formal Analysis for Human and In Silico Experimentation in Cognitive Psychology

Antonio Cerone, Graham Pluck

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

This paper presents a novel framework aimed at enhancing the experimental methodology within cognitive psychology, integrating both informal and formal components to accommodate varied reasoning approaches. The framework supports the design and performing of experiments, and the structured storage of the information on outcomes in a way that is independent of specific interpretations and findings. This facilitates the replication and reproduction of the experiments and their interpretation under alternative theories. Moreover, the formal components of the information stored can be used for in silico simulation as well as within rigorous analytical approaches, such as formal methods and process mining.

Original languageEnglish
Title of host publicationFrom Data to Models and Back - 11th International Symposium, DataMod 2023, Revised Selected Papers
EditorsGiovanna Broccia, Antonio Cerone
PublisherSpringer Science and Business Media Deutschland GmbH
Pages3-23
Number of pages21
ISBN (Print)9783031872167
DOIs
Publication statusPublished - 2025
Event11th International Symposium on From Data to Models and Back, DataMod 2023 - Eindhoven, Netherlands
Duration: Nov 6 2023Nov 7 2023

Publication series

NameLecture Notes in Computer Science
Volume14618 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference11th International Symposium on From Data to Models and Back, DataMod 2023
Country/TerritoryNetherlands
CityEindhoven
Period11/6/2311/7/23

Keywords

  • BRDL
  • Cognitive psychology
  • Data storage
  • Experiment builder
  • Experimental variables
  • Formal methods
  • In silico simulation
  • Process mining
  • Real-Time Maude

ASJC Scopus subject areas

  • Theoretical Computer Science
  • General Computer Science

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