Marcos Cramer

Papers

1

Total Citations

2

H-Index

1

About

Marcos Cramer is a researcher at the forefront of computational argumentation and formal logic, with a focus on bridging the gap between human reasoning and artificial intelligence. His work centers on developing formal models for argumentation, particularly in the context of autonomous systems and decision-making. Cramer’s most-cited paper, "Machine Argumentation. Can We Replace Taxi Drivers by Robots?" (2019), explores the challenges of embedding argumentation frameworks into AI systems that must navigate real-world ethical and practical dilemmas. While his citation count is modest—with this paper garnering 2 citations—his contributions are notable for their conceptual depth, addressing how machines can engage in structured debate to justify actions, such as those of self-driving cars. Cramer’s research is pivotal for students and researchers interested in the intersection of logic, AI ethics, and autonomous reasoning, offering a rigorous foundation for future work in explainable AI. His achievements include advancing the use of argumentation theory in practical AI applications, making him a key voice in the ongoing dialogue about machine reasoning and societal impact.

Research Focus

Key Achievements

1
H-Index
1
Papers
2
Total Citations
2
Avg Citations/Paper
🏆 Most Cited Paper
Machine Argumentation. Can We Replace Taxi Drivers by Robots?
2 citations · 2019
📈 Most Prolific Year: 2019 (1 Papers)
🤝 Key Collaborators: 5

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 12 days ago