
Human-Like Machine Intelligence
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Content
- PART 1 Human-Like Machine Intelligence
- 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: Human-Machine 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
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