A Narrative History of Artificial Intelligence
Outline of the Contents
When Digital Computers were born, there was also AI
JONIAC at the Institute for Advanced Study
Von Neumann kept interested in brain computers
History of The Pioneers Footsteps of Marvin Minsky, John McCarthy, Herbert Simon
Neural Network Research during the 1940s and the 1960s
Natural Language Understanding not yet merged
Spiral Steps of IT and AI, Related Disciplines
Dealing with Meaning and the Digital Representation of Knowledge
Nils Nilsson: Transition from Artificial Intelligence to Computer Science
Establishing the Problem-Solving domain
Question-Answering, Natural Language Input, then Language Model
Emerging Basic Concepts along with the expansion of applications
Establishment of Symbol Processing-type AI and the Role of Lisp
Artificial Intelligence Laboratory of Massachusetts Institute of Technology
The 1980s, when many issues surrounding Lisp appear all at once
ANSI X3J13 Common Lisp Committee Launch and Goal of CLtL1 Revision
ANSI standardization and CLtL2 Publication
The Age of Decentralization
Cases with Elemental Technology Development
Industry Expectations for AI technology and the Lisp role as the platform
AI 3rd edition in 1992, No Japanese version published
AI's Winter and DARPA's Support
Multilayer Neural Networks starting with Neocognitron
The 1989 DARPA Neural Networks report and a fresh start from there
Neural Net Applications in the 1980s as described in the DARPA report
Elemental Techniques in Convolutional Neural Networks
Progress in CNN implementation technology
Recurrent Neural Networks (RNNs) and LSTM, into a new era
The Challenge of Explainable AI
Do Machines Understand Sentences?
Use of Natural Language Processing in Industrial Systems
Conversation in Virtual Space
Word Embedding and related technical aids for NLP
"Enabled" and More Challenging Issues
Strategy Selection and Expert Systems in the business domain
Issues as Social Infrastructure
Board Games again
Large-scale Language Models and the emergence of generative AI in 2022
Diffusion and Integration of AI technology