Papers

7

Total Citations

197

H-Index

6

About

Chris Fields is an interdisciplinary researcher whose work spans cognitive science, philosophy of mind, physics, and artificial intelligence, with a particular focus on understanding cognition, observation, and intelligence across radically diverse physical systems. His most influential contribution, "Competency in Navigating Arbitrary Spaces as an Invariant for Analyzing Cognition in Diverse Embodiments" (2022, 122 citations), proposes a unifying framework for understanding how living systems — from single cells to complex organisms — adapt to novelty, bridging evolutionary biology, AI design, and cognitive science. This work reflects Fields' broader ambition to identify invariant principles of intelligence that transcend specific biological or computational substrates. Fields has also made significant contributions to foundational questions about self-representation in physical systems, exploring the principled limits of self-observation and self-control in a 2024 paper that draws on quantum information theory. His 2018 work on the "Sciences of Observation" connects quantum physics and developmental biology through the shared question of what it means to observe. Earlier work on visual re-identification and AI philosophy demonstrates his longstanding engagement with machine intelligence and perception. Fields represents a rare thinker willing to interrogate the deepest conceptual foundations of mind and life across disciplinary boundaries.

Research Focus

Key Achievements

6
H-Index
7
Papers
197
Total Citations
28
Avg Citations/Paper
🏆 Most Cited Paper
Competency in Navigating Arbitrary Spaces as an Invariant for Analyzing Cognition in Diverse Embodiments
122 citations · 2022
📈 Most Prolific Year: 2022 (2 Papers)
🤝 Key Collaborators: 8
🏛 Institutions: Tufts University, Cambridge Systematics (United States), Fort Ross Conservancy

Top Papers

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    Sciences of Observation
    6 citations · 2018
  7. 7

Key Collaborators

Contact & Links

Available for collaboration
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