Interdependent Human-Machine Teams: The Path to Autonomy
Editat de William Lawless, Ranjeev Mittu, Donald Sofge, Hesham Fouaden Limba Engleză Paperback – 10 dec 2024
- Investigates how interdependence is the missing ingredient necessary to produce operational autonomous systems
- Integrates concepts from a wide range of disciplines, including applied and theoretical AI, quantum mechanics, social sciences, and systems engineering
- Presents debates, models, and concepts of mutual dependency for autonomous human-machine teams, challenging assumptions across AI, systems engineering, data science, and quantum mechanics
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Specificații
ISBN-13: 9780443292460
ISBN-10: 0443292469
Pagini: 448
Dimensiuni: 152 x 229 mm
Greutate: 0.6 kg
Editura: ELSEVIER SCIENCE
ISBN-10: 0443292469
Pagini: 448
Dimensiuni: 152 x 229 mm
Greutate: 0.6 kg
Editura: ELSEVIER SCIENCE
Cuprins
- Introduction to “autonomous human-machine teams”
- Toward a new foundation for AI
- Human-machine teaming using large language models
- Development of a team cohesion scale for use in human-autonomy team research
- Enabling human-machine symbiosis: Automated establishment of common ground and estimates of the topological structures of Commander’s Intent
- Measuring consequential changes in human-autonomous system interactions
- User affordances to engineer open-world enterprise dynamics
- Truth-O-Meter: Collaborating with LLM in fighting its hallucinations
- Natural versus artificial intelligence: AI insights from the cognitive sciences
- Intention when humans team with AI
- Autonomy: A family resemblance concept? An exploration of human-robot teams
- A theoretical approach to management of limited attentional resources to support the m:N operation in advanced air mobility ecosystem
- Predicting workload of dispatchers supervising autonomous systems
- The generative AI weapon of mass destruction: Evolving disinformation threats, vulnerabilities, and mitigation frameworks
- Ethics for artificial agents
- Self-visualization for the human-machine mind-body problem
- Knowledge, consciousness, and debate: advancing the science of autonomous human-machine teams