Johannes Jaeger

Complexity Science Hub

Papers

2

Total Citations

121

H-Index

2

About

Johannes Jaeger is a researcher whose work bridges the philosophy of mind, biology, and artificial intelligence, with a particular focus on the fundamental nature of cognition and its implications for machine intelligence. His most prominent contribution, "How Organisms Come to Know the World: Fundamental Limits on Artificial General Intelligence," has garnered significant attention, accumulating over 100 citations since its publication in 2022. In this work, Jaeger challenges prevailing assumptions about the trajectory of AI development, arguing that biological organisms possess intrinsic ways of knowing and engaging with their environments that cannot be straightforwardly replicated by artificial systems. By grounding his analysis in the lived, embodied experience of organisms, he identifies deep theoretical constraints on what artificial general intelligence can realistically achieve. His scholarship draws on concepts from cognitive science, systems biology, and philosophy, making his arguments relevant across multiple disciplines. Jaeger's work has resonated strongly with researchers questioning the limits of current AI paradigms, sparking debate among scientists, philosophers, and technologists alike about the nature of intelligence and what it truly means for a system to "know" the world.

Research Focus

Key Achievements

2
H-Index
2
Papers
121
Total Citations
61
Avg Citations/Paper
🏆 Most Cited Paper
How Organisms Come to Know the World: Fundamental Limits on Artificial General Intelligence
102 citations · 2022
📈 Most Prolific Year: 2022 (1 Papers)
🤝 Key Collaborators: 2
🏛 Institutions: Complexity Science Hub

Top Papers

  1. 1
  2. 2

Key Collaborators

Contact & Links

Available for collaboration
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