| ISBN |
9780198862536 (hardback) |
| Note |
Sisaldab bibliograafiat ja registrit |
| Contents |
PART 1 Human-Like Machine Intelligence1: Human-Compatible Artificial Intelligence2: Alan Turing and Human-Like Intelligence3: Spontaneous communicative conventions through virtual bargaining4: Modelling virtual bargaining using logical representation change"PART 2 Human-Like Social Cooperation5: Mining Property-driven Graphical Explanations for Datacentric AI from Argumentation Frameworks6: Explanation in AI systems7: Human-Like Communication8: Too many cooks: Coordinating multi-agent collaboration through inverse planning9: Teaching and explanation: aligning priors between machines and humansPART 3 Human-Like Perception and Language10: Human-Like Computer Vision11: Apperception12: Human-Machine Perception of Complex Signal Data13: The sharedworkspace framework for dialogue and other cooperative joint activities14: Beyond robotic speech: mutual benefits to cognitive psychology and artificial intelligence from the joint study of multimodal communicationPART 4 Human-Like Representation and Learning15: Human-Machine Scientific Discovery16: Fast and slow learning in human-like intelligence17: Interactive Learning with Mutual Explanations in Relational Domains18: Endowing machines with the expert human ability to select representations: why and how19: HumanDSMachine Collaboration for Democratizing Data SciencePART 5 Evaluating Human-Like Reasoning20: Automated Commonsense Spatial Reasoning: Still a Huge Challenge21: Sampling as the human approximation to probabilistic inference22: What can the conjunction fallacy tell us about human reasoning?23: Logic-Based Robotics24: Predicting problem difficulty in chess. |
| Note |
In recent years there has been increasing excitement concerning the potential of Artificial Intelligence to transform human society. This book addresses the leading edge of research in this area. The research described aims to address present incompatibilities of Human and Machine reasoning and learning approaches. According to the influential US funding agency DARPA (originator of the Internet and Self-Driving Cars) this new area represents the Third Wave of Artificial Intelligence (3AI, 2020s-2030s), and is being actively investigated in the US, Europe and China. The chapters of this book have been authored by a mixture of UK and other international specialists. Some of the key questions addressed by the Human-Like Computing programme include how AI systems might 1) explain their decisions effectively, 2) interact with human beings in natural language, 3) learn from small numbers of examples and 4) learn with minimal supervision. Solving such fundamental problems involves new foundational research in both the Psychology of perception and interaction as well as the development of novel algorithmic approaches in Artificial Intelligence. |
| Subject |
tehisintellekt
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artiklikogumikud (vormimärksõna)
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| Added entry |
Muggleton, Stephen, toimetaja
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Chater, Nick, toimetaja
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| UDC |
004.8 (082)
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