𝔖 Scriptorium
✦   LIBER   ✦

πŸ“

Fundamental Issues of Artificial Intelligence

✍ Scribed by Vincent C. Müller (eds.)


Publisher
Springer International Publishing
Year
2016
Tongue
English
Leaves
563
Series
Synthese Library 376
Edition
1
Category
Library

⬇  Acquire This Volume

No coin nor oath required. For personal study only.

✦ Synopsis


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 β€œTheory and Philosophy of Artificial Intelligence” held in Oxford, the volume includes prominent researchers within the field from around the world.

✦ Table of Contents


Front Matter....Pages i-ix
New Developments in the Philosophy of AI....Pages 1-4
Front Matter....Pages 5-5
Rationality and Intelligence: A Brief Update....Pages 7-28
Computation and Multiple Realizability....Pages 29-41
When Thinking Never Comes to a Halt: Using Formal Methods in Making Sure Your AI Gets the Job Done Good Enough....Pages 43-62
Machine Intelligence and the Ethical Grammar of Computability....Pages 63-78
Is There a Role for Computation in the Enactive Paradigm?....Pages 79-94
Natural Recursion Doesn’t Work That Way: Automata in Planning and Syntax....Pages 95-112
Front Matter....Pages 113-113
AI, Quantum Information, and External Semantic Realism: Searle’s Observer-Relativity and Chinese Room, Revisited....Pages 115-127
Semantic Information and Artificial Intelligence....Pages 129-140
Information, Computation, Cognition. Agency-Based Hierarchies of Levels....Pages 141-159
From Simple Machines to Eureka in Four Not-So-Easy Steps: Towards Creative Visuospatial Intelligence....Pages 161-182
Front Matter....Pages 183-183
Leibniz’s Art of Infallibility, Watson, and the Philosophy, Theory, and Future of AI....Pages 185-202
The Computational Theory of Cognition....Pages 203-221
Representational Development Need Not Be Explicable-By-Content....Pages 223-240
Toward a Theory of Intelligent Complex Systems: From Symbolic AI to Embodied and Evolutionary AI....Pages 241-259
The Anticipatory Brain: Two Approaches....Pages 261-283
General Homeostasis, Passive Life, and the Challenge to Autonomy....Pages 285-300
Ad Hoc Hypotheses and the Monsters Within....Pages 301-315
Arguably Argumentative: A Formal Approach to the Argumentative Theory of Reason....Pages 317-339
Explaining Everything....Pages 341-354
Front Matter....Pages 183-183
Why Emotions Do Not Solve the Frame Problem....Pages 355-367
HeX and the Single Anthill: Playing Games with Aunt Hillary....Pages 369-390
Computer Models of Constitutive Social Practice....Pages 391-411
Front Matter....Pages 413-413
Artificial Intelligence: The Point of View of Developmental Robotics....Pages 415-424
Tacit Representations and Artificial Intelligence: Hidden Lessons from an Embodied Perspective on Cognition....Pages 425-441
Machine Art or Machine Artists?: Dennett, Danto, and the Expressive Stance....Pages 443-458
Perception, Action and the Notion of Grounding....Pages 459-478
The Seminal Speculation of a Precursor: Elements of Embodied Cognition and Situated AI in Alan Turing....Pages 479-496
Heideggerian AI and the Being of Robots....Pages 497-513
Front Matter....Pages 515-515
The Need for Moral Competency in Autonomous Agent Architectures....Pages 517-527
Order Effects, Moral Cognition, and Intelligence....Pages 529-542
Artificial Intelligence and Responsible Innovation....Pages 543-554
Future Progress in Artificial Intelligence: A Survey of Expert Opinion....Pages 555-572

✦ Subjects


Philosophy of Mind;Artificial Intelligence (incl. Robotics);Cognitive Psychology


πŸ“œ SIMILAR VOLUMES


Fundamental issues of artificial intelli
✍ MΓΌller, Vincent C (ed.) πŸ“‚ Library πŸ“… 2016 πŸ› Imprint, Springer, Springer International Publishi 🌐 English

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 natur

Fundamentals of Artificial Intelligence
✍ K. R. Chowdhary πŸ“‚ Library πŸ“… 2020 πŸ› Springer-Nature New York Inc 🌐 English

<i>Fundamentals of Artificial Intelligence</i> introduces the foundations of present day AI and provides coverage to recent developments in AI such as Constraint Satisfaction Problems, Adversarial Search and Game Theory, Statistical Learning Theory, Automated Planning, Intelligent Agents, Informatio

Fundamentals of Artificial Intelligence
✍ K.R. Chowdhary πŸ“‚ Library πŸ“… 2020 πŸ› Springer Nature 🌐 English

Fundamentals of Artificial Intelligence introduces the foundations of present day AI and provides coverage to recent developments in AI such as Constraint Satisfaction Problems, Adversarial Search and Game Theory, Statistical Learning Theory, Automated Planning, Intelligent Agents, Information Retri

Fundamentals of Artificial Intelligence
✍ K.R. Chowdhary πŸ“‚ Library πŸ“… 2020 πŸ› Springer Nature 🌐 English

Fundamentals of Artificial Intelligence introduces the foundations of present day AI and provides coverage to recent developments in AI such as Constraint Satisfaction Problems, Adversarial Search and Game Theory, Statistical Learning Theory, Automated Planning, Intelligent Agents, Information Retri

PyTorch Artificial Intelligence Fundamen
✍ Jibin Mathew πŸ“‚ Library πŸ“… 2020 πŸ› Packt 🌐 English

Artificial Intelligence (AI) continues to grow in popularity and disrupt a wide range of domains, but it is a complex and daunting topic. In this book, you'll get to grips with building deep learning apps, and how you can use PyTorch for research and solving real-world problems. This book uses a