Philosophy and Theory of Artificial Intelligence 2017

1. Front Matter

   Pages i-ix

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2. Cognition - Reasoning - Consciousness

   1. Front Matter

      Pages 1-1

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   2. Artificial Consciousness: From Impossibility to Multiplicity

      • Chuanfei Chin

      Pages 3-18

   3. Cognition as Embodied Morphological Computation

      • Gordana Dodig-Crnkovic

      Pages 19-23

   4. “The Action of the Brain”

      • Hajo Greif

      Pages 24-35

   5. An Epistemological Approach to the Symbol Grounding Problem

      • Jodi Guazzini

      Pages 36-39

   6. An Enactive Theory of Need Satisfaction

      • Soheil Human, Golnaz Bidabadi, Markus F. Peschl, Vadim Savenkov

      Pages 40-42

   7. Agency, Qualia and Life: Connecting Mind and Body Biologically

      • David Longinotti

      Pages 43-56

   8. Dynamic Concept Spaces in Computational Creativity for Music

      • René Mogensen

      Pages 57-68

   9. Creative AI: Music Composition Programs as an Extension of the Composer’s Mind

      • Caterina Moruzzi

      Pages 69-72

   10. How Are Robots’ Reasons for Action Grounded?

       • Bryony Pierce

       Pages 73-80

   11. Artificial Brains and Hybrid Minds

       • Paul Schweizer

       Pages 81-91

   12. Huge, but Unnoticed, Gaps Between Current AI and Natural Intelligence

       • Aaron Sloman

       Pages 92-105

   13. Social Cognition and Artificial Agents

       • Anna Strasser

       Pages 106-114

3. Computation - Intelligence - Machine Learning

   1. Front Matter

      Pages 115-115

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   2. Mapping Intelligence: Requirements and Possibilities

      • Sankalp Bhatnagar, Anna Alexandrova, Shahar Avin, Stephen Cave, Lucy Cheke, Matthew Crosby et al.

      Pages 117-135

   3. Do Machine-Learning Machines Learn?

      • Selmer Bringsjord, Naveen Sundar Govindarajulu, Shreya Banerjee, John Hummel

      Pages 136-157

   4. Where Intelligence Lies: Externalist and Sociolinguistic Perspectives on the Turing Test and AI

      • Shlomo Danziger

      Pages 158-174

   5. Modelling Machine Learning Models

      • Raül Fabra-Boluda, Cèsar Ferri, José Hernández-Orallo, Fernando Martínez-Plumed, M. José Ramírez-Quintana

      Pages 175-186

   6. Is Programming Done by Projection and Introspection?

      • Sam Freed

      Pages 187-189

This book reports on the results of the third edition of the premier conference in the field of philosophy of artificial intelligence, PT-AI 2017, held on November 4 - 5, 2017 at the University of Leeds, UK. It covers: advanced knowledge on key AI concepts, including complexity, computation, creativity, embodiment, representation and superintelligence; cutting-edge ethical issues, such as the AI impact on human dignity and society, responsibilities and rights of machines, as well as AI threats to humanity and AI safety; and cutting-edge developments in techniques to achieve AI, including machine learning, neural networks, dynamical systems. The book also discusses important applications of AI, including big data analytics, expert systems, cognitive architectures, and robotics.  It offers a timely, yet very comprehensive snapshot of what is going on in the field of AI, especially at the interfaces between philosophy, cognitive science, ethics and computing.

• Generative Adversarial Networks
• Music Generation by AI
• Social Reciprocity in Human-computer Interaction
• Human-agent Interaction
• Human vs Robot Mathematical Competences
• Production of Symbolic Language
• Biological Theory of Qualias
• Cognitive Subprocesses
• Infocomputational Agents
• Epistemic Self-improvement
• Theories of Knowledge Generation
• Moral Status of Digital Agents
• Applications of an Artificial Person
• Quantum Mind Thesis
• Sensorimotor Grounding
• Cooperation in Artificial Systems
• AI Morality
• Safe AI
• Proceeding of PT-AI 2018

• Interdisciplinary Ethics Applied (IDEA) Centre, University of Leeds, Leeds, UK

  Vincent C. Müller

Policies and ethics