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.

• Distributed computation and epistemic logic.- 1. “You will never know”: The topology of surprise, Alexandru Baltag.- 2. Distributed computing, epistemic logic and topology, Sergio Rajsbaum.- 3. Distributed Computing with Bounded Rational Agents, Armando Castañeda.- 4. Topological Models of Group Knowledge, Aldo Iván Ramírez-Abarca.- 5. Logic and Computation of Social Behavior, Sonja Smets.- 6. Stratified evidence logic, David Fernández-Duque.- 7. Reliability-based preference dynamics, Fernando Velázquez-Quesada.- 8. A Dynamic Logic for Learning Theory, Ana Lucia Vargas-Sandoval.- 9. Engineering distributed systems: how efficient is a computational model?, Alice.- Martin and Mathieu Magnaudet.- 10. Some phenomenological considerations in computational modeling of analogy,.- Eduardo García-Mendiola.- 11. Underdetermination after Computation, Don Berkich.- Philosophy of science and computation.- 1. Epistemology of Computer Simulations, Juan M. Duran.- 2. Inappropriate Notions of 'Theory' and their Practical Consequences in the Discipline.- of Software 'Engineering', Stefan Gruner.- 3. Mathematical Explanation and the Problem of Counterpossibles, Erlantz Etxeberria.- 4. Meta-Abduction. Inference to the Best Prediction, Christian J. Feldbacher Escamilla.- 5. Causal judgments and model implementation, Tomasz Wysocki.- 6. The Epiphenomenal Puzzle and the Formal Conception of Computational Dynamics,.- Mauricio Eduardo Bieletto Bueno.- 7. On the Conciliation of Traditional and Computer-Assisted Proofs, Lourdes Del.- Carmen González Huesca and Favio Ezequiel Miranda Perea.- 8. How Artificial is Data?, Robin Hill.- 9. On Computer Simulations, with particular Regard to their Application in.- Contemporary Astrophysics: some SciencePhilosophical Considerations, Stefan.- Gruner and Matthias Bartelmann.- 10. Lighthill's Anti Formalist Falsification of AI in Philosophical Context, Steven Meyer.- 11. Implementing algorithmic and computational design in philosophical pedagogy,.- Rocco Gangle.- 12. Is there anything special about the type of defectiveness involved in Big Data?: Some.- reflections on ignorance and Astrophysics, Maria Del Rosario Martinez Ordaz.- 13. The birth of Evil Genius, Mauricio Algalan-Meneses.- Computation and cognition.- 1. Integrating computation into the mechanistic hierarchy in the cognitive and neural.- science, Oron Shagrir and Lotem ElberDorozko.- 2. Types, Tokens and Turing Tests, Paul Schweizer.- 3. Fixed-parameter tractability of cognitive capacities and the usefulness of deductive.- reasoning, Nancy Abigail Nuñez Hernández.- 4. Boundedly Rational Concept Formation, David Abel and Mark Ho.- 5.Inferential Knowledge and Knowledge Representation, Yves Bouchard.- 6. Logic and Heuristics in Cognitive Psychology and Computational Sciences: Friends.- or Enemies?, Karen Gonzalez-Fernandez.- Ethical themes on artificial intelligence and robotics.- 1. Our Technology Fetish, John Weckert.- 2. AI-Driven Behavior Change and the Parameters of Ethical Permissibility, Fiona.- McEvoy.- 3. Self-driving Cars: An Ethical Overview, Björn Lundgren.- 4. Machiavellian Machines: Glitching AI, Steve T. McKinlay.- 5. Artificial Intelligence, Transparency, and Public Decision-Making - Why we should.- opt for explaining AI assistants, Karl de Fine Licht and Jenny de Fine Licht.- 6. Predictive Fairness, Anders Herlitz.- 7. Misdirection in Robot Teams: Methods and Ethical Considerations, Ronald Arkin.- 8. Creating Moral Ideals in AI through Buddhist Principles, Angelica Fleury.- 9. Kantian one day, Consequentialistthe next: Moral emotions as mediators between.- ethical frameworks for robots, Alan Wagner, Jason Borenstein and Ronald Arkin.- 10. The Aristotelian Robot, Eduardo Mendieta and Alan Wagner.- 11. Castigation by Robot: Should Robots be Allowed to Punish Us?, Himavath Jois and.- Alan Wagner.- 12. Ethics and New Epistemology of Artificial Intelligence and Big Data, Ricardo Vigueras.

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.

• Distributed computation and epistemic logic.- 1. “You will never know”: The topology of surprise, Alexandru Baltag.- 2. Distributed computing, epistemic logic and topology, Sergio Rajsbaum.- 3. Distributed Computing with Bounded Rational Agents, Armando Castañeda.- 4. Topological Models of Group Knowledge, Aldo Iván Ramírez-Abarca.- 5. Logic and Computation of Social Behavior, Sonja Smets.- 6. Stratified evidence logic, David Fernández-Duque.- 7. Reliability-based preference dynamics, Fernando Velázquez-Quesada.- 8. A Dynamic Logic for Learning Theory, Ana Lucia Vargas-Sandoval.- 9. Engineering distributed systems: how efficient is a computational model?, Alice.- Martin and Mathieu Magnaudet.- 10. Some phenomenological considerations in computational modeling of analogy,.- Eduardo García-Mendiola.- 11. Underdetermination after Computation, Don Berkich.- Philosophy of science and computation.- 1. Epistemology of Computer Simulations, Juan M. Duran.- 2. Inappropriate Notions of 'Theory' and their Practical Consequences in the Discipline.- of Software 'Engineering', Stefan Gruner.- 3. Mathematical Explanation and the Problem of Counterpossibles, Erlantz Etxeberria.- 4. Meta-Abduction. Inference to the Best Prediction, Christian J. Feldbacher Escamilla.- 5. Causal judgments and model implementation, Tomasz Wysocki.- 6. The Epiphenomenal Puzzle and the Formal Conception of Computational Dynamics,.- Mauricio Eduardo Bieletto Bueno.- 7. On the Conciliation of Traditional and Computer-Assisted Proofs, Lourdes Del.- Carmen González Huesca and Favio Ezequiel Miranda Perea.- 8. How Artificial is Data?, Robin Hill.- 9. On Computer Simulations, with particular Regard to their Application in.- Contemporary Astrophysics: some SciencePhilosophical Considerations, Stefan.- Gruner and Matthias Bartelmann.- 10. Lighthill's Anti Formalist Falsification of AI in Philosophical Context, Steven Meyer.- 11. Implementing algorithmic and computational design in philosophical pedagogy,.- Rocco Gangle.- 12. Is there anything special about the type of defectiveness involved in Big Data?: Some.- reflections on ignorance and Astrophysics, Maria Del Rosario Martinez Ordaz.- 13. The birth of Evil Genius, Mauricio Algalan-Meneses.- Computation and cognition.- 1. Integrating computation into the mechanistic hierarchy in the cognitive and neural.- science, Oron Shagrir and Lotem ElberDorozko.- 2. Types, Tokens and Turing Tests, Paul Schweizer.- 3. Fixed-parameter tractability of cognitive capacities and the usefulness of deductive.- reasoning, Nancy Abigail Nuñez Hernández.- 4. Boundedly Rational Concept Formation, David Abel and Mark Ho.- 5.Inferential Knowledge and Knowledge Representation, Yves Bouchard.- 6. Logic and Heuristics in Cognitive Psychology and Computational Sciences: Friends.- or Enemies?, Karen Gonzalez-Fernandez.- Ethical themes on artificial intelligence and robotics.- 1. Our Technology Fetish, John Weckert.- 2. AI-Driven Behavior Change and the Parameters of Ethical Permissibility, Fiona.- McEvoy.- 3. Self-driving Cars: An Ethical Overview, Björn Lundgren.- 4. Machiavellian Machines: Glitching AI, Steve T. McKinlay.- 5. Artificial Intelligence, Transparency, and Public Decision-Making - Why we should.- opt for explaining AI assistants, Karl de Fine Licht and Jenny de Fine Licht.- 6. Predictive Fairness, Anders Herlitz.- 7. Misdirection in Robot Teams: Methods and Ethical Considerations, Ronald Arkin.- 8. Creating Moral Ideals in AI through Buddhist Principles, Angelica Fleury.- 9. Kantian one day, Consequentialistthe next: Moral emotions as mediators between.- ethical frameworks for robots, Alan Wagner, Jason Borenstein and Ronald Arkin.- 10. The Aristotelian Robot, Eduardo Mendieta and Alan Wagner.- 11. Castigation by Robot: Should Robots be Allowed to Punish Us?, Himavath Jois and.- Alan Wagner.- 12. Ethics and New Epistemology of Artificial Intelligence and Big Data, Ricardo Vigueras.

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.

• Distributed computation and epistemic logic.- 1. “You will never know”: The topology of surprise, Alexandru Baltag.- 2. Distributed computing, epistemic logic and topology, Sergio Rajsbaum.- 3. Distributed Computing with Bounded Rational Agents, Armando Castañeda.- 4. Topological Models of Group Knowledge, Aldo Iván Ramírez-Abarca.- 5. Logic and Computation of Social Behavior, Sonja Smets.- 6. Stratified evidence logic, David Fernández-Duque.- 7. Reliability-based preference dynamics, Fernando Velázquez-Quesada.- 8. A Dynamic Logic for Learning Theory, Ana Lucia Vargas-Sandoval.- 9. Engineering distributed systems: how efficient is a computational model?, Alice.- Martin and Mathieu Magnaudet.- 10. Some phenomenological considerations in computational modeling of analogy,.- Eduardo García-Mendiola.- 11. Underdetermination after Computation, Don Berkich.- Philosophy of science and computation.- 1. Epistemology of Computer Simulations, Juan M. Duran.- 2. Inappropriate Notions of 'Theory' and their Practical Consequences in the Discipline.- of Software 'Engineering', Stefan Gruner.- 3. Mathematical Explanation and the Problem of Counterpossibles, Erlantz Etxeberria.- 4. Meta-Abduction. Inference to the Best Prediction, Christian J. Feldbacher Escamilla.- 5. Causal judgments and model implementation, Tomasz Wysocki.- 6. The Epiphenomenal Puzzle and the Formal Conception of Computational Dynamics,.- Mauricio Eduardo Bieletto Bueno.- 7. On the Conciliation of Traditional and Computer-Assisted Proofs, Lourdes Del.- Carmen González Huesca and Favio Ezequiel Miranda Perea.- 8. How Artificial is Data?, Robin Hill.- 9. On Computer Simulations, with particular Regard to their Application in.- Contemporary Astrophysics: some SciencePhilosophical Considerations, Stefan.- Gruner and Matthias Bartelmann.- 10. Lighthill's Anti Formalist Falsification of AI in Philosophical Context, Steven Meyer.- 11. Implementing algorithmic and computational design in philosophical pedagogy,.- Rocco Gangle.- 12. Is there anything special about the type of defectiveness involved in Big Data?: Some.- reflections on ignorance and Astrophysics, Maria Del Rosario Martinez Ordaz.- 13. The birth of Evil Genius, Mauricio Algalan-Meneses.- Computation and cognition.- 1. Integrating computation into the mechanistic hierarchy in the cognitive and neural.- science, Oron Shagrir and Lotem ElberDorozko.- 2. Types, Tokens and Turing Tests, Paul Schweizer.- 3. Fixed-parameter tractability of cognitive capacities and the usefulness of deductive.- reasoning, Nancy Abigail Nuñez Hernández.- 4. Boundedly Rational Concept Formation, David Abel and Mark Ho.- 5.Inferential Knowledge and Knowledge Representation, Yves Bouchard.- 6. Logic and Heuristics in Cognitive Psychology and Computational Sciences: Friends.- or Enemies?, Karen Gonzalez-Fernandez.- Ethical themes on artificial intelligence and robotics.- 1. Our Technology Fetish, John Weckert.- 2. AI-Driven Behavior Change and the Parameters of Ethical Permissibility, Fiona.- McEvoy.- 3. Self-driving Cars: An Ethical Overview, Björn Lundgren.- 4. Machiavellian Machines: Glitching AI, Steve T. McKinlay.- 5. Artificial Intelligence, Transparency, and Public Decision-Making - Why we should.- opt for explaining AI assistants, Karl de Fine Licht and Jenny de Fine Licht.- 6. Predictive Fairness, Anders Herlitz.- 7. Misdirection in Robot Teams: Methods and Ethical Considerations, Ronald Arkin.- 8. Creating Moral Ideals in AI through Buddhist Principles, Angelica Fleury.- 9. Kantian one day, Consequentialistthe next: Moral emotions as mediators between.- ethical frameworks for robots, Alan Wagner, Jason Borenstein and Ronald Arkin.- 10. The Aristotelian Robot, Eduardo Mendieta and Alan Wagner.- 11. Castigation by Robot: Should Robots be Allowed to Punish Us?, Himavath Jois and.- Alan Wagner.- 12. Ethics and New Epistemology of Artificial Intelligence and Big Data, Ricardo Vigueras.