Will Computers Ever Truly Understand What We’re Saying?
January 12, 2016 | Lawrence Berkeley National LaboratoryEstimated reading time: 5 minutes
Robots and computers, on the other hand, converse based on a statistical analysis of a word’s meaning, Stolk said. If you usually use the word “bank” to mean a place to cash a check, then that will be the assumed meaning in a conversation, even when the conversation is about fishing.
“Apple’s Siri focuses on statistical regularities, but communication is not about statistical regularities,” he said. “Statistical regularities may get you far, but it is not how the brain does it. In order for computers to communicate with us, they would need a cognitive architecture that continuously captures and updates the conceptual space shared with their communication partner during a conversation.”
Hypothetically, such a dynamic conceptual framework would allow computers to resolve the intrinsically ambiguous communication signals produced by a real person, including drawing upon information stored years earlier.
Stolk’s studies have pinpointed other brain areas critical to mutual understanding. In a 2014 study, he used brain stimulation to disrupt a rear portion of the temporal lobe and found that it is important for integrating incoming signals with knowledge from previous interactions. A later study found that in patients with damage to the frontal lobe (the ventromedial prefrontal cortex), decisions to communicate are no longer fine-tuned to stored knowledge about an addressee. Both studies could explain why such patients appear socially awkward in everyday social interactions.
Stolk plans future studies with Knight using fine-tuned brain mapping on the actual surfaces of the brains of volunteers, so-called electrocorticography.
Stolk said he wrote the new paper in hopes of moving the study of communication to a new level with a focus on conceptual alignment.
“Most cognitive neuroscientists focus on the signals themselves, on the words, gestures and their statistical relationships, ignoring the underlying conceptual ability that we use during communication and the flexibility of everyday life,” he said. “Language is very helpful, but it is a tool for communication, it is not communication per se. By focusing on language, you may be focusing on the tool, not on the underlying mechanism, the cognitive architecture we have in our brain that helps us to communicate.”
Stolk’s co-authors are Ivan Toni of the Donders Institute for Brain, Cognition and Behavior at Radboud University in the Netherlands, where the studies were conducted, and Lennart Verhagen of the University of Oxford.
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