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Cognitive Twin: A Cognitive Approach to Personalized Assistants

Authors
Sterling Somers
Carnegie Mellon University ~ Psychology
Alessandro Oltramari
Bosch Research and Technology Center
Christian Lebiere
Department of Psychology, Carnegie Mellon University, Pittsburgh, PA 15213 USA
Abstract

This paper presents an analysis of a cognitive twin, implemented in a cognitive architecture. The cognitive twin is intended to be a personal assistant that learns to make decisions from your past behavior. In this proof-of-concept case, we have the cognitive twin select attendees to a party, based upon what it has learned (through ratings) about an agent's social network. We evaluate two versions of a model with respect to rate of change in the social network, the noise in the rating data, and the sparsity of the data.

Discussion
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relating it to the real world Last updated 3 months ago

Hi Sterling, Interesting model! I was wondering whether you have any thoughts on how you could relate this model to real-world data. For example, could it be tested by looking at the changes in Facebook friends over time? And could this model potentially predict COVID-19 transmission over time (especially when different kinds of network ties are ...

Marieke Van Vugt 1 comment