Human-Machine Shared Contexts 1st Edition William Lawless (Editor)

Chapter 1: Introduction: Artificial intelligence (AI), autonomous machines, and constructing context: User interventions, social awareness, and interdependence

 

Chapter 2: Analogy and metareasoning: Cognitive strategies for robot learning

 

Chapter 3: Adding command knowledge “At the Human Edge”

 

Chapter 4: Context: Separating the forest and the trees—Wavelet contextual conditioning for AI

 

Chapter 5: A narrative modeling platform: Representing the comprehension of novelty in open-world systems

 

Chapter 6: Deciding Machines: Moral-Scene Assessment for Intelligent Systems

 

Chapter 7: The criticality of social and behavioral science in the development and execution of autonomous systems

 

Chapter 8: Virtual health and artificial intelligence: Using technology to improve healthcare delivery

 

Chapter 9: An information geometric look at the valuing of information

 

Chapter 10: AI, autonomous machines and human awareness: Towards shared machine-human contexts in medicine

 

Chapter 11: Problems of autonomous agents following informal, open-textured rules

 

Chapter 12: Engineering for emergence in information fusion systems: A review of some challenges

 

Chapter 13: Integrating expert human decision-making in artificial intelligence applications

 

Chapter 14: A communication paradigm for human-robot interaction during robot failure scenarios

 

Chapter 15: On neural-network training algorithms

 

Chapter 16: Identifying distributed incompetence in an organization

 

Chapter 17: Begin with the human: Designing for safety and trustworthiness in cyber-physical systems

 

Chapter 18: Digital humanities and the digital economy

 

Chapter 19: Human-machine sense making in context-based computational decision

 

Chapter 20: Constructing mutual context in human-robot collaborative problem solving with mult