Fundamental Issues of Artificial Intelligence

1. Front Matter

   Pages i-ix

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2. New Developments in the Philosophy of AI

   • Vincent C. Müller

   Pages 1-4

3. Computing

   1. Front Matter

      Pages 5-5

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   2. Rationality and Intelligence: A Brief Update

      • Stuart Russell

      Pages 7-28

   3. Computation and Multiple Realizability

      • Marcin Miłkowski

      Pages 29-41

   4. When Thinking Never Comes to a Halt: Using Formal Methods in Making Sure Your AI Gets the Job Done Good Enough

      • Tarek R. Besold, Robert Robere

      Pages 43-62

   5. Machine Intelligence and the Ethical Grammar of Computability

      • David Leslie

      Pages 63-78

   6. Is There a Role for Computation in the Enactive Paradigm?

      • Carlos F. Brito, Victor X. Marques

      Pages 79-94

   7. Natural Recursion Doesn’t Work That Way: Automata in Planning and Syntax

      • Cem Bozşahin

      Pages 95-112

4. Information

   1. Front Matter

      Pages 113-113

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   2. AI, Quantum Information, and External Semantic Realism: Searle’s Observer-Relativity and Chinese Room, Revisited

      • Yoshihiro Maruyama

      Pages 115-127

   3. Semantic Information and Artificial Intelligence

      • Anderson Beraldo de Araújo

      Pages 129-140

   4. Information, Computation, Cognition. Agency-Based Hierarchies of Levels

      • Gordana Dodig-Crnkovic

      Pages 141-159

   5. From Simple Machines to Eureka in Four Not-So-Easy Steps: Towards Creative Visuospatial Intelligence

      • Ana-Maria Olteţeanu

      Pages 161-182

5. Cognition and Reasoning

   1. Front Matter

      Pages 183-183

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   2. Leibniz’s Art of Infallibility, Watson, and the Philosophy, Theory, and Future of AI

      • Selmer Bringsjord, Naveen Sundar Govindarajulu

      Pages 185-202

   3. The Computational Theory of Cognition

      • Gualtiero Piccinini

      Pages 203-221

   4. Representational Development Need Not Be Explicable-By-Content

      • Nicholas Shea

      Pages 223-240

   5. Toward a Theory of Intelligent Complex Systems: From Symbolic AI to Embodied and Evolutionary AI

      • Klaus Mainzer

      Pages 241-259

   6. The Anticipatory Brain: Two Approaches

      • Mark H. Bickhard

      Pages 261-283

This volume offers a look at the fundamental issues of present and future AI, especially from cognitive science, computer science, neuroscience and philosophy. This work examines the conditions for artificial intelligence, how these relate to the conditions for intelligence in humans and other natural agents, as well as ethical and societal problems that artificial intelligence raises or will raise.
The key issues this volume investigates include the relation of AI and cognitive science, ethics of AI and robotics, brain emulation and simulation, hybrid systems and cyborgs, intelligence and intelligence testing, interactive systems, multi-agent systems, and super intelligence.
Based on the 2nd conference on “Theory and Philosophy of Artificial Intelligence” held in Oxford, the volume includes prominent researchers within the field from around the world.

• Embodied Cognitive Science
• Philosophy of Artificial Intelligence
• Philosophy of Cognitive Science
• Risks of Artificial Intelligence
• Superintelligence
• Theory of Artificial Intelligence
• Theory of Computing

“It is a deep study and anyone interested in Alan Turing and AI will find a lot of interesting material. Doctoral candidates can use the book to spin off ideas and think about open issues. The many reference papers can serve as a wealth of information as well. I highly recommend this book for those in academia.” (Naga Narayanaswamy, Computing Reviews, January, 2017)

• Future of Humanity Institute Department of Philosophy & Oxford Martin School, University of Oxford, Oxford, UK

  Vincent C. Müller

• Anatolia College/ACT, Thessaloniki, Greece

  Vincent C. Müller

Vincent C. Müller's research focuses on the nature and future of computational systems, particularly on the prospects of artificial intelligence. He is the coordinator of the European Network for Cognitive Systems, Robotics and Interaction (2009-2014) with over 800 members. He has organised a number of prominent conferences in the field. Müller has published a number of articles and edited volumes on the philosophy of computing, the philosophy of AI and cognitive science, the philosophy of language, and related areas. He works at Anatolia College/ACT and at the University of Oxford.

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