Tom Kouwenhoven
Papers
1
Total Citations
2
H-Index
1
About
Tom Kouwenhoven is a researcher at the intersection of artificial intelligence, cognitive science, and human language evolution. His work explores how machines can develop grounded, shared vocabularies with humans—a challenge that draws inspiration from the evolutionary processes that shaped human language. Rather than relying solely on massive datasets, Kouwenhoven investigates how interactive, situated learning can lead to more robust and natural communication between humans and AI. His most-cited paper, "Emerging Grounded Shared Vocabularies Between Human and Machine, Inspired by Human Language Evolution" (2022), has garnered 2 citations and lays the groundwork for a paradigm shift in conversational AI. By focusing on the emergence of meaning through interaction, Kouwenhoven’s research offers a compelling alternative to data-hungry approaches, with implications for more intuitive human-machine collaboration. His work is particularly notable for bridging insights from linguistics, robotics, and machine learning, making him a key voice in the push toward AI that truly understands and co-creates language with people.
Research Focus
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Top Papers
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