Philosophy of Computing

1. Front Matter

   Pages i-xix

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2. Knowledge and Simplicial Complexes

   • Hans van Ditmarsch, Éric Goubault, Jérémy Ledent, Sergio Rajsbaum

   Pages 1-50

3. Meta-Abduction: Inference to the Probabilistically Best Prediction

   • Christian J. Feldbacher-Escamilla

   Pages 51-71

4. On the Conciliation of Traditional and Computer-Assisted Proofs

   • Favio E. Miranda-Perea, Lourdes del Carmen González Huesca

   Pages 73-112

5. Is There Anything Special About the Ignorance Involved in Big Data Practices?

   • María del Rosario Martínez-Ordaz

   Pages 113-140

6. Predictive Fairness

   • Anders Herlitz

   Pages 141-161

7. Castigation by Robot: Should Robots Be Allowed to Punish Us?

   • Alan R. Wagner, Himavath Jois

   Pages 163-175

8. Implementing Algorithmic and Computational Design in Philosophical Pedagogy

   • Rocco Gangle

   Pages 177-199

9. Our Technology Fetish

   • John Weckert

   Pages 201-219

10. Models, Explanation, Representation, and the Philosophy of Computer Simulations

    • Juan Manuel Durán

    Pages 221-249

11. Back Matter

    Pages 251-252

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This book features a unique selection of works presented at the 2019 annual international conference of the International Association for Computing and Philosophy (IACAP). Every contribution has been peer-reviewed, revised, and extended. The included chapters are thematically diverse; topics include epistemology, dynamic epistemic logic, topology, philosophy of science and computation, game theory and abductive inferences, automated reasoning and mathematical proofs, computer simulations, scientific modelling, applied ethics, pedagogy, human-robot interactions, and big data, algorithms, and artificial intelligence.


The volume is a testament to the value of interdisciplinary approaches to the computational and informational turn. We live in a time of tremendous development, which requires rigorous reflection on the philosophical nature of these technologies and how they are changing the world. How can we understand these technologies? How do these technologies change our understanding of the world? And how do these technologies affect our place as humans in the world? These questions, and more, are addressed in this volume which is of interest to philosophers, engineers, and computer scientists alike.

• Philosophy of Artificial Intelligence
• Philosophy of Computer Science
• Distributed Computing
• Computational Dynamics
• predictive fairness
• ethics and new epistemology
• artificial intelligence and big data
• AI and public decision-making

• The Department of Philosophy and Religious Studies, Utrecht University, Utrecht, The Netherlands

  Björn Lundgren

• Institute of Philosophy, Czech Academy of Sciences, Prague, Czech Republic

  Nancy Abigail Nuñez Hernández

Björn Lundgren obtained a doctoral degree in philosophy in 2018 at the Royal Institute of Technology (Stockholm, Sweden). He is currently working as a researcher at Utrecht University (Utrecht, The Nederlands), as part of a research program on Ethics of socially disruptive technologies (Esdit). Lundgren mainly works on topics such as AI; self-driving vehicles; privacy and anonymity; risk, safety, and security; and information. You can find his recent works in journals such as AI & Society, Journal of Ethics, Journal of Ethics and Social Philosophy, Philosophy & Technology, Res Publica, Risk Analysis, Science & Engineering Ethics, and Synthese.

Nancy Abigail Nuñez Hernández obtained a doctoral degree in philosophy in 2017 at the National Autonomous University of Mexico (Mexico City, Mexico). She is currently working as a researcher at the Institute of Philosophy of the Czech Academy of Sciences (Prague, Czech Republic). She is also a member of the National System of Researchers of Mexico (CONACYT). Nuñez Hernández mainly works on epistemology, philosophical logic, and philosophy of computer science and mathematics. She was a member of the local organizing committee of the 2019 IACAP Conference.