Nadezhda Murziakova 

Short bio:

Nadezhda Murziakova is a researcher in cognitive neuroscience, pursuing her academic interests in the field of brain and behavior. She completed her Bachelor’s degree in Cognitive Psychology at the National Research University Higher School of Economics and a Master’s degree in Cognitive Neuroscience at the University of Trento. Her work primarily involved fMRI, eye-tracking, and behavioral experiments, focusing on topics such as visual perception and action recognition. Additionally, she has a growing interest in Attention Management Systems, exploring how cognitive processes like attention can be studied and optimized, particularly in the context of human-computer interaction. 

MemAgent: Cognitive Models for Human-Like Decision-Making (IT:U Seed)

Human decisions are shaped by memory processes – what we know, what we forget, and how we retrieve information in context. Still, most AI systems treat human cognition as static or overly simplified, ignoring the nuanced ways people recall knowledge and apply rules in dynamic environments. While recent advances in generative agents can partly simulate […]

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