Uma Ramamurthy

University of Memphis, Baylor College of Medicine

Papers

Total Citations

H-Index

About

Uma Ramamurthy is a pioneering researcher at the intersection of cognitive science and artificial intelligence, whose work explores the deep connections between consciousness, machine learning, and human-like cognition. Her primary research areas include machine consciousness, cognitive architectures, and the computational modeling of self-systems, motivations, and emotions. Ramamurthy's most influential work, "Evolutionary Pressures for Perceptual Stability and Self as Guides to Machine Consciousness" (2009, 22 citations), advances Global Workspace Theory by proposing how evolutionary forces shape conscious perception and selfhood in machines. Her 2006 paper "A Cognitive Science Based Machine Learning Architecture" (17 citations) introduces the LIDA technology, a groundbreaking cognitive architecture that enables software agents to learn more like humans through three fundamental capabilities. In "Motivations, Values and Emotions: 3 sides of the same coin" (2006, 12 citations), she elegantly demonstrates how these three concepts form an interconnected system where emotions provide a common currency for values and motivations drive action. Her 2012 work on the "Self-System in a Model of Cognition" (11 citations) synthesizes philosophical and neuroscientific perspectives on selfhood within the Global Workspace Theory framework. Ramamurthy's research offers a compelling vision for creating truly intelligent machines that understand not just computation, but the very essence of conscious experience.