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Robust Intelligence and Trust in Autonomous Systems
This volume explores the intersection of robust intelligence (RI) and trust in autonomous systems across multiple contexts among autonomous hybrid systems, where hybrids are arbitrary combinations of humans, machines and robots. To better understand the relationships between artificial intelligence...
| Clasificación: | Libro Electrónico |
|---|---|
| Autor Corporativo: | |
| Otros Autores: | , , , |
| Formato: | Electrónico eBook |
| Idioma: | Inglés |
| Publicado: |
New York, NY :
Springer US : Imprint: Springer,
2016.
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| Edición: | 1st ed. 2016. |
| Temas: | |
| Acceso en línea: | Texto Completo |
Tabla de Contenidos:
- Introduction
- Towards modeling the behavior of autonomous systems and humans for trusted operations
- Learning trustworthy behaviors using an inverse trust metric
- The "Trust V"-Building and measuring trust in autonomous systems
- Big Data analytic paradigms-From principle component analysis to deep learning
- Artificial brain systems based on neural network discrete chaotic dynamics. Toward the development of conscious and rational robots
- Modeling and control of trust in human-robot collaborative manufacturing
- Investigating human-robot trust in emergency scenarios: methodological lessons learned
- Designing for robust and effective teamwork in human-agent teams
- Measuring Trust in Human Robot Interactions: Development of the "Trust Perception Scale-HRI"
- Methods for developing trust models for intelligent systems
- The intersection of robust intelligence and trust: Hybrid teams, firms & systems.