Cover -- Title Page -- Copyright Page -- Dedication -- Preface -- Table of Contents -- Introduction -- 1. The Landscape -- 1.1 Into Eega Beeva's Toolbox -- 1.2 Mind -- 1.3 Artificial -- 1.4 Intelligence -- 1.5 Representations -- 1.6 Computation -- 2. When the Computer First Meets the Mind -- 2.1 Thinking as Calculating -- 2.1.1 Logic -- 2.1.2 A Steam Powered Computer -- 2.2 The Turing Machine -- 2.2.1 The Machine -- 2.2.2 From Mind to Machine and Back -- 2.3 The Imitation Game -- 2.3.1 Can Machines Think? -- 2.3.2 Russell Demonstrated by Machine -- 2.3.3 Into a Chinese Room -- 3. The Early Shaping of Cognitive Science by Artificial Intelligence -- 3.1 Solving Problems -- 3.1.1 Reasoning with Bounded Cognition -- 3.2 Formal Languages and Cognition -- 3.2.1 The Fascination with Combinatorics on Words -- 3.2.2 Words in Ordinary and in Programming Languages -- 3.2.3 Understanding Natural Language -- 3.3 Levels of Cognition -- 3.3.1 Brave Computational Explanations of the Brain -- 3.3.2 Goodbye Neuroscience, Welcome AI -- 4. Contending Philosophical Frameworks Within Artificial Intelligence -- 4.1 The Empiricist Agenda -- 4.1.1 The Perceptron and its Backlash -- 4.1.2 The Magic of Backpropagation -- 4.1.3 Commitment to Cognition, Not so Much to Neuroscience -- 4.2 The Case of Language Development -- 4.2.1 The Past Tense War -- 4.2.2 Neural Networks that Remember -- 4.2.3 Distributed Semantics -- 4.3 Autopoiesis and Self Organizing Systems -- 4.3.1 The Philosophy of Autopoiesis -- 4.3.2 Self-Organization made Computational -- 4.3.3 Self-Organization made Science -- 4.3.4 Self-Organization made Easy -- 4.4 Other Philosophical Inspirations -- 4.4.1 Bayes -- 4.4.2 Darwin -- 4.4.3 Heidegger -- 5. An Unexpected Renaissance Age -- 5.1 The Warmth of Deep Learning -- 5.1.1 Cold Seasons -- 5.1.2 From Shallow to Deep -- 5.1.3 Good Old Tools.
Description:
Cover -- Title Page -- Copyright Page -- Dedication -- Preface -- Table of Contents -- Introduction -- 1. The Landscape -- 1.1 Into Eega Beeva's Toolbox -- 1.2 Mind -- 1.3 Artificial -- 1.4 Intelligence -- 1.5 Representations -- 1.6 Computation -- 2. When the Computer First Meets the Mind -- 2.1 Thinking as Calculating -- 2.1.1 Logic -- 2.1.2 A Steam Powered Computer -- 2.2 The Turing Machine -- 2.2.1 The Machine -- 2.2.2 From Mind to Machine and Back -- 2.3 The Imitation Game -- 2.3.1 Can Machines Think? -- 2.3.2 Russell Demonstrated by Machine -- 2.3.3 Into a Chinese Room -- 3. The Early Shaping of Cognitive Science by Artificial Intelligence -- 3.1 Solving Problems -- 3.1.1 Reasoning with Bounded Cognition -- 3.2 Formal Languages and Cognition -- 3.2.1 The Fascination with Combinatorics on Words -- 3.2.2 Words in Ordinary and in Programming Languages -- 3.2.3 Understanding Natural Language -- 3.3 Levels of Cognition -- 3.3.1 Brave Computational Explanations of the Brain -- 3.3.2 Goodbye Neuroscience, Welcome AI -- 4. Contending Philosophical Frameworks Within Artificial Intelligence -- 4.1 The Empiricist Agenda -- 4.1.1 The Perceptron and its Backlash -- 4.1.2 The Magic of Backpropagation -- 4.1.3 Commitment to Cognition, Not so Much to Neuroscience -- 4.2 The Case of Language Development -- 4.2.1 The Past Tense War -- 4.2.2 Neural Networks that Remember -- 4.2.3 Distributed Semantics -- 4.3 Autopoiesis and Self Organizing Systems -- 4.3.1 The Philosophy of Autopoiesis -- 4.3.2 Self-Organization made Computational -- 4.3.3 Self-Organization made Science -- 4.3.4 Self-Organization made Easy -- 4.4 Other Philosophical Inspirations -- 4.4.1 Bayes -- 4.4.2 Darwin -- 4.4.3 Heidegger -- 5. An Unexpected Renaissance Age -- 5.1 The Warmth of Deep Learning -- 5.1.1 Cold Seasons -- 5.1.2 From Shallow to Deep -- 5.1.3 Good Old Tools.