دانلود کتاب A Narrative History of Artificial Intelligence: The Perpetual Frontier of Information Technology

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Foreword
Preface
Acknowledgments
Contents
1 The Dawn and Footprints of the Pioneers: Time Traveling to the Pioneering Days
1.1 When Digital Computers were Born, There was Also AI
1.2 JONIAC at the Institute for Advanced Study
1.3 Von Neumann Kept Interested in Brain Computers
1.4 History of the Pioneers
1.5 Footsteps of Marvin Minsky
1.6 Footsteps of John McCarthy
1.7 Footsteps of Herbert Simon
1.8 Neural Network Research During the 1940s and the 1960s
1.9 Natural Language Understanding Not Yet Merged
References
2 Field Formation of AI and IT
2.1 Spiral Steps of IT and AI; Algorithms or Unique Procedures
2.2 Related Disciplines: Sides of the Long and Winding Road
2.3 Dealing with Meaning and the Digital Representation of Knowledge
2.4 Nils Nilsson: Transition from Artificial Intelligence to Computer Science
2.5 Establishing the Problem-Solving Domain
2.6 Question-Answering, Natural Language Input, Then Language Model
2.7 Emerging Basic Concepts Along with the Expansion of Applications
References
3 The Lisp World and Common Lisp: 1960–1990s
3.1 Establishment of Symbol Processing-Type AI and the Role of Lisp
3.2 Artificial Intelligence Laboratory of Massachusetts Institute of Technology
3.3 The 1980s, When Many Issues Surrounding Lisp Appear All at Once
3.4 ANSI X3J13 Common Lisp Committee Launch and Goal of CLtL1 Revision
3.5 ANSI Standardization and CLtL2 Publication
References
4 Struggles for the Next Step During the 1980 and 1990s
4.1 The Age of Decentralization Came Quickly
4.2 Cases with Elemental Technology Development
4.3 Industry Expectations for AI Technology and the Lisp Role as the Platform
4.4 AI 3rd Edition in 1992, no Japanese Version Published
4.5 AI\'s Winter and DARPA\'s Support
References
5 Deep Neural Networks
5.1 Multi-layer Neural Networks Starting with Neocognitron
5.2 The 1989 DARPA Neural Networks Report and a Fresh Start from There
5.3 Neural Net Applications in the 1980s as Described in the DARPA Report
5.4 Elemental Techniques in Convolutional Neural Networks
5.5 Progress in CNN Implementation Technology
5.6 Recurrent Neural Networks (RNNs) and LSTM, Into a New Era
5.7 Issues for Explainable AI
References
6 Growth and Branching of Natural Language Processing
6.1 Do Machines Understand Sentences?
6.2 Use of Natural Language Processing in Industrial Systems
6.3 Conversation in Virtual Space
6.4 Word Embedding and Related Technical Aids for NLP
References
7 Taking on New Challenges
7.1 “Enabled” and More Challenging Issues
7.2 Strategy Selection and Expert Systems in the Business Domain
7.3 Issues as Social Infrastructure
7.4 Board Games Again
7.5 Large-Scale Language Models and the Emergence of Generative AI in 2022
7.6 Diffusion and Integration of AI Technology
References
Lastly: Computer is Just Born, It is Not Matured Yet