Papers

2

Total Citations

40

H-Index

2

About

Viktoras Veitas is a researcher working at the intersection of artificial general intelligence (AGI), complex systems theory, and the philosophy of mind. His most notable contribution centers on the concept of "Open Ended Intelligence," a theoretical framework that seeks to identify and formalize the core principles of intelligence in a domain-independent manner. Rather than engineering systems optimized for narrow tasks, Veitas advances the idea that truly intelligent agents must be capable of performing any intellectual task a human can perform — and potentially beyond — by operating fluidly across contexts without predefined constraints. His 2016 paper on the individuation of intelligent agents has garnered 38 citations, marking it as a meaningful reference point within the AGI research community. The work draws on rich philosophical traditions alongside computational theory, positioning intelligence not as a fixed property but as an emergent, self-organizing process — one that "individuates" through interaction with its environment. This perspective challenges mainstream AI paradigms and invites deeper dialogue between cognitive science, systems theory, and machine intelligence research. For students and researchers exploring the foundations of AGI or the theoretical limits of machine cognition, Veitas's work offers a thought-provoking and philosophically grounded entry point into some of the field's most enduring open questions.

Research Focus

Key Achievements

2
H-Index
2
Papers
40
Total Citations
20
Avg Citations/Paper
🏆 Most Cited Paper
Open ended intelligence: the individuation of intelligent agents
38 citations · 2016
📈 Most Prolific Year: 2016 (1 Papers)
🤝 Key Collaborators: 2
🏛 Institutions: Vrije Universiteit Brussel

Top Papers

  1. 1
  2. 2

Key Collaborators

Contact & Links

Available for collaboration
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