Papers

15

Total Citations

200

H-Index

8

About

Alexei V. Samsonovich is a pioneering researcher at the intersection of cognitive science, artificial intelligence, and computational neuroscience, best known for his foundational work on emotionally intelligent cognitive architectures. His most influential contribution, the emotional Biologically Inspired Cognitive Architecture (eBICA), introduced a rigorous framework for representing and processing emotional mental states, appraisals, and moral schemas in artificial agents — work that has accumulated nearly 100 citations since its 2013 publication. Samsonovich's research addresses one of AI's most profound challenges: enabling machines to exhibit believable, socially acceptable emotional behavior in human interactions, from virtual pets to psychological counseling applications. His explorations extend into creativity, insight problem solving, and reimagining foundational questions in AI — including a conceptually fresh approach to the Turing Test. Through his role in the Biologically Inspired Cognitive Architectures community, he has helped shape an entire research agenda bridging neuroscience and machine intelligence. His vision of an "Artificial Psychologist" — a virtual assistant capable of emotionally intelligent therapeutic interaction — exemplifies the practical humanitarian ambitions driving his scholarship, making his work essential reading for anyone studying affective computing or human-robot interaction.

Research Focus

Key Achievements

8
H-Index
15
Papers
200
Total Citations
13
Avg Citations/Paper
🏆 Most Cited Paper
Emotional biologically inspired cognitive architecture
92 citations · 2013
📈 Most Prolific Year: 2018 (6 Papers)
🤝 Key Collaborators: 23
🏛 Institutions: George Mason University, Moscow Engineering Physics Institute, Institute for Advanced Study

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 14 days ago