Model-Based Reasoning in Science and Technology

Inferential Models for Logic, Language, Cognition and Computation

  • Ángel Nepomuceno-Fernández
  • Lorenzo Magnani
  • Francisco J. Salguero-Lamillar
  • Cristina Barés-Gómez
  • Matthieu Fontaine
Conference proceedings MBR 2018

Part of the Studies in Applied Philosophy, Epistemology and Rational Ethics book series (SAPERE, volume 49)

Table of contents

  1. Front Matter
    Pages i-xiii
  2. Models, Mental Models, and Representations

    1. Front Matter
      Pages 1-1
    2. Simone Pinna, Marco Giunti
      Pages 20-40
    3. Selene Arfini
      Pages 41-54
    4. Luís Moniz Pereira, Francisco C. Santos
      Pages 69-82
    5. Walter Veit
      Pages 83-102
    6. Laura Macchi, Veronica Cucchiarini, Laura Caravona, Maria Bagassi
      Pages 120-137
    7. Rodrigo Lopez-Orellana, David Cortés-García
      Pages 138-152
    8. Gabriele Ferretti, Marco Viola
      Pages 173-190
  3. Abduction, Problem Solving, and Practical Reasoning

  4. Epistemological and Technological Issues

  5. Back Matter
    Pages 501-502

About these proceedings


This book discusses how scientific and other types of cognition make use of models, abduction, and explanatory reasoning in order to produce important and innovative changes in theories and concepts. Gathering revised contributions presented at the international conference on Model-Based Reasoning (MBR18), held on October 24–26 2018 in Seville, Spain, the book is divided into three main parts. The first focuses on models, reasoning, and representation. It highlights key theoretical concepts from an applied perspective, and addresses issues concerning information visualization, experimental methods, and design. The second part goes a step further, examining abduction, problem solving, and reasoning. The respective papers assess different types of reasoning, and discuss various concepts of inference and creativity and their relationship with experimental data. In turn, the third part reports on a number of epistemological and technological issues. By analyzing possible contradictions in modern research and describing representative case studies, this part is intended to foster new discussions and stimulate new ideas. All in all, the book provides researchers and graduate students in the fields of applied philosophy, epistemology, cognitive science, and artificial intelligence alike with an authoritative snapshot of the latest theories and applications of model-based reasoning.


Mental Models Abductive Cognition Eco-Cognitive Models Diagram in linguistics Best explanation of complex phenomena Model-based science Fictionalism in science Criteria for evo-devo models Representation of action concepts Epistemic feelings Creative realism Evidential reasoning Mental simulation Linguistic models Default reasoning MBR18 Causal asymmetry

Editors and affiliations

  • Ángel Nepomuceno-Fernández
    • 1
  • Lorenzo Magnani
    • 2
  • Francisco J. Salguero-Lamillar
    • 3
  • Cristina Barés-Gómez
    • 4
  • Matthieu Fontaine
    • 5
  1. 1.Department of Philosophy, Logic and Philosophy of ScienceUniversity of SevilleSevilleSpain
  2. 2.Department of Humanities, Philosophy Section, and Computational Philosophy LaboratoryUniversity of PaviaPaviaItaly
  3. 3.Department of Spanish Language, Linguistics and Theory of LiteratureUniversity of SevilleSevilleSpain
  4. 4.Department of Philosophy, Logic and Philosophy of ScienceUniversity of SevilleSevilleSpain
  5. 5.Centre for Philosophy of Science of the University of LisbonUniversity of LisbonLisbonPortugal

Bibliographic information