Human-Like Machine Intelligence
Human-Like Machine Intelligence
Chater, Nicholas; Muggleton, Stephen
Oxford University Press
07/2021
536
Dura
Inglês
9780198862536
15 a 20 dias
1208
1: Human-Compatible Artificial Intelligence
2: Alan Turing and Human-Like Intelligence
3: Spontaneous communicative conventions through virtual bargaining
4: Modelling virtual bargaining using logical representation change"
PART 2 Human-Like Social Cooperation
5: Mining Property-driven Graphical Explanations for Datacentric AI from Argumentation Frameworks
6: Explanation in AI systems
7: Human-Like Communication
8: Too many cooks: Coordinating multi-agent collaboration through inverse planning
9: Teaching and explanation: aligning priors between machines and humans
PART 3 Human-Like Perception and Language
10: Human-Like Computer Vision
11: Apperception
12: Human-Machine Perception of Complex Signal Data
13: The sharedworkspace framework for dialogue and other cooperative joint activities
14: Beyond robotic speech: mutual benefits to cognitive psychology and artificial intelligence from the joint study of multimodal communication
PART 4 Human-Like Representation and Learning
15: Human-Machine Scientific Discovery
16: Fast and slow learning in human-like intelligence
17: Interactive Learning with Mutual Explanations in Relational Domains
18: Endowing machines with the expert human ability to select representations: why and how
19: HumanDSMachine Collaboration for Democratizing Data Science
PART 5 Evaluating Human-Like Reasoning
20: Automated Commonsense Spatial Reasoning: Still a Huge Challenge
21: Sampling as the human approximation to probabilistic inference
22: What can the conjunction fallacy tell us about human reasoning?
23: Logic-Based Robotics
24: Predicting problem difficulty in chess
1: Human-Compatible Artificial Intelligence
2: Alan Turing and Human-Like Intelligence
3: Spontaneous communicative conventions through virtual bargaining
4: Modelling virtual bargaining using logical representation change"
PART 2 Human-Like Social Cooperation
5: Mining Property-driven Graphical Explanations for Datacentric AI from Argumentation Frameworks
6: Explanation in AI systems
7: Human-Like Communication
8: Too many cooks: Coordinating multi-agent collaboration through inverse planning
9: Teaching and explanation: aligning priors between machines and humans
PART 3 Human-Like Perception and Language
10: Human-Like Computer Vision
11: Apperception
12: Human-Machine Perception of Complex Signal Data
13: The sharedworkspace framework for dialogue and other cooperative joint activities
14: Beyond robotic speech: mutual benefits to cognitive psychology and artificial intelligence from the joint study of multimodal communication
PART 4 Human-Like Representation and Learning
15: Human-Machine Scientific Discovery
16: Fast and slow learning in human-like intelligence
17: Interactive Learning with Mutual Explanations in Relational Domains
18: Endowing machines with the expert human ability to select representations: why and how
19: HumanDSMachine Collaboration for Democratizing Data Science
PART 5 Evaluating Human-Like Reasoning
20: Automated Commonsense Spatial Reasoning: Still a Huge Challenge
21: Sampling as the human approximation to probabilistic inference
22: What can the conjunction fallacy tell us about human reasoning?
23: Logic-Based Robotics
24: Predicting problem difficulty in chess