Integrated Human-Machine Intelligence: Beyond Artificial Intelligence

✍ Scribed by Wei Liu

• Publisher: Elsevier
• Year: 2023
• Tongue: English
• Leaves: 300
• Category: Library

✦ Synopsis

Integrated Human-Machine Intelligence: Beyond Artificial Intelligence focuses on deep situational awareness in human-computer integration, covering the interaction and integration mechanisms of human intelligence, machine intelligence and environmental systems. The book also details the cognitive, philosophical, social, scientific and technological, and military theories and methods of human-computer division, cooperation and collaborative decision-making to provide basic theoretical support for a development strategy in the field of national intelligence. Sections focus on describing a new form of intelligence produced by the interaction of human, machine and environmental systems which will become the next generation of AI.

From the perspective of deep situational awareness in human-computer integration, the book studies the interaction and integration mechanisms of human intelligence, machine intelligence and environmental systems. In addition, it details the cognitive, philosophical, social, scientific and technological, and military theories and methods of human-computer division, cooperation and collaborative decision-making, so as to provide basic theoretical support for a development strategy in the field of national intelligence.

✦ Table of Contents

Front Cover
INTEGRATED HUMAN-MACHINE INTELLIGENCE
INTEGRATED HUMAN-MACHINE INTELLIGENCE: BEYOND ARTIFICIAL INTELLIGENCE
Copyright
Dedication
Contents
About the author
Preface
1 - The essence of intelligence
1. The source of intelligence in the east and the west
2. The generation of intelligence
3. The past and present state of artificial intelligence
4. Three stages of the development of artificial intelligence
4.1 The first stage featuring the inference system
4.2 The second stage featuring the expert system
4.3 The third stage featuring the deep learning
5. Three major schools of AI
6. Flaws of artificial intelligence
2 - Human-machine hybrid intelligence: standing on the shoulders of intelligence
1. Human-machine hybrid intelligence
2. Origin and future development direction of human-machine hybrid intelligence
3. Human-machine intelligence is neither human intelligence nor artificial intelligence
3.1 The secret in algorithm
4. The use of man-machine hybrid intelligence
4.1 Commander Assistant'' module 4.1.1Plan Sketch'' submodule
4.1.2 Decision Sketch'' submodule 4.1.3Automatic Scheme Generation'' submodule
4.2 Blitzkrieg'' module 4.3Crystal Ball'' module
3 The essence of intelligence is not data, algorithms, computing power, or knowledge
1. The essence of intelligence
2. The bottleneck problem of a human-machine hybrid
3. Why is it hard for AI to land
4. Side effects of intelligence (including AI)
5. A piece of advice for human pilots
4- Three hurdles through which artificial intelligence cannot go
1. Interpretability: the first hurdle through which artificial intelligence cannot go
2. Learning: the second hurdle for artificial intelligence
3. Common sense: the third hurdle for artificial intelligence
4. The first principle of intelligence
5. Intelligence is not everything
6. The cornerstone of human intelligence may not really be mathematics
5 - Military intelligence
1. The concept of military intelligence
2. Development of military intelligence
2.1 Mechanical war and information war
2.2 Electronic cognitive war
2.3 Network-centric warfare
2.4 Algorithm warfare
2.5 Mosaic warfare
2.6 Multidomain warfare
3. Development of US military intelligence
3.1 Three offset strategies
3.2 Four stages of development experienced by the US military DARPA military intelligence
3.2.1 Artificial intelligence research stage
3.2.2 Strategic computing project stage
3.2.3 Development stage from 1994 to 2014
3.2.4 Stage of establishing the field of ownership (2014 to present)
3.3 The main areas of the development of US DARPA military intelligence
3.3.1 Speech recognition
3.3.2 Environmental perception technology
3.3.3 Technology of artificial intelligence
3.3.4 Technology of robot autonomous control
3.3.5 Autonomous marshaling and coordination technology
4. Key factors to win the intelligent war in the future
4.1 Human-machine environment system integration
4.2 Intelligent coordinated operations
5. Challenges of deep situation awareness in intelligent warfare
5.1 The problem of the human-machine hybrid
5.2 Uncertainty on the battlefield
5.3 The problem of humankind
5 - Research on the application of antiartificial intelligence in the military field
1. Antiartificial intelligence in the military field
2. The nature of antiartificial intelligence
3. The necessity of antiartificial intelligence research
4. Antiartificial intelligence development in the US military
5. Antiartificial intelligence and deep situation awareness
6. Antiartificial intelligence and the human-machine hybrid
7. Methods and strategies for antiartificial intelligence
8. Suggestions
7 - Deep situation awareness
1. Deep situation awareness: the origin of the theory
2. Decryption of deep situation awareness
3. The construction of meaning
8 - The problem of autonomy
1. The development history and status quo of autonomy
1.1 The development history of autonomy
1.2 The status quo of the development of autonomy
1.2.1 Sense and percept
1.2.2 Planning
1.2.3 Learning
1.2.4 Human-machine hybrid
1.2.5 Natural language understanding
1.2.6 Multiagent coordination
2. The concept of autonomy and its theoretical origin
2.1 The concept of autonomy
2.2 The origin of autonomy
3. The theoretical expression and model of autonomy
3.1 The meaning of autonomy
3.2 The build of an autonomous system framework
4. The consideration of autonomous problems
4.1 Human's decision and machine's decision
4.2 Individual situation awareness and group sharing situation awareness
4.3 How to build human-machine trust
5. The future developing and investment direction
5.1 Percept
5.2 Planning
5.3 Learning
5.4 Interaction between human and machine
5.5 Natural language understanding
5.6 Multiagent coordination
5.7 Automation and autonomy
9 - Reflection on human-machine hybrid intelligence
1. Thoughts on the human's intelligence in human-machine hybrid
2. The thinking about the current human-machine hybrid intelligence bottleneck
3. Thinking in the field of human-machine hybrid intelligence in the future
4. A revolution is sweeping artificial intelligence
5. Artificial intelligence and ethical questions
10 - Rethinking intelligence of human-machine hybrid
1. The origin and future development direction of artificial intelligence
2. The key issues in the future of human-machine hybrid intelligence
3. The future development direction of human-machine hybrid intelligence
3.1 Information fusion and human-machine hybrid intelligence
3.2 Situation awareness and human-machine hybrid intelligence
3.3 Autonomy and human-machine hybrid intelligence
4. Difficulties facing human-machine hybrid intelligence
4.1 The problem of cognitive inconsistency between human and machine
4.2 Intentionality and formalization issues
4.3 The ethical issues of Hume's question
5. Difficulties of human-machine hybrid intelligence: research on deep situation awareness
6. Persona: the bridge for human-machine communication
6.1 Introduction to the concept of persona
6.2 Human and machine
6.3 Persona based on deep situation awareness theoretical model
11 - Human wisdom and artificial intelligence
1. Intelligent thinking
2. Human consciousness has a purpose
3. The advantages of human wisdom: from the known to the unknown
4. From machine learning to learning machines
5. Strong AI: a handshake between human wisdom and artificial intelligence
6. 100 questions about intelligence
Postscript
Index
A
B
C
D
E
F
G
H
I
J
K
L
M
N
O
P
R
S
T
U
W
Back Cover