Human-Like Machine Intelligence

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: 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