Now showing items 61-70 of 71
Equipment for artificial intelligence
(Georgia Institute of Technology, 1988)
Task transparency in learning by demonstration : gaze, pointing, and dialog
(Georgia Institute of Technology, 2010-07-07)
This body of work explores an emerging aspect of human-robot interaction, transparency. Socially guided machine learning has proven that highly immersive robotic behaviors have yielded better results than lesser interactive ...
A schema-based model of adaptive problem solving
(Georgia Institute of Technology, 1989-12)
Learning by observing and understanding expert problem solving
(Georgia Institute of Technology, 1992-12)
Analogical problem evolution in biologically inspired design
(Georgia Institute of Technology, 2014-01-08)
Biologically inspired design (BID) is a widespread and growing movement in modern design, pulled in part by the need for environmentally sustainable design and pushed partly by rapid advances in biology and the desire for ...
A computational model of suspense for the augmentation of intelligent story generation
(Georgia Institute of Technology, 2013-11-18)
In this dissertation, I present Dramatis, a computational human behavior model of suspense based on Gerrig and Bernardo's de nition of suspense. In this model, readers traverse a search space on behalf of the protagonist, ...
Human-guided task transfer for interactive robots
(Georgia Institute of Technology, 2020-07-06)
Adaptability is an essential skill in human cognition, enabling us to draw from our extensive, life-long experiences with various objects and tasks in order to address novel problems. To date, robots do not have this kind ...
On Formula Embeddings in Neural-Guided SAT Solving
Branching heuristics determine the performance of search-based SAT solvers. We note that recently, Neural Machine Learning approaches have been proposed to learn such heuristics from data. The first step in learning a ...
CS-6460 EdTech Final Project
(Georgia Institute of Technology, 2020-12-06)
This project develops a set of Problem-Based Learning (PBL) modules called "Case Simulations" for economics and business students. Case Simulations are Case Studies with matching Market Simulations. Together, they provide ...
Productize ML: A Machine Learning in Production Course
(Georgia Institute of Technology, 2020-08)
This document presents the project paper for the CS6460 course for which a Content track was chosen to teach a Machine Learning in Production course using Cognitive Emotional Pedagogy and Distance learning and framed around ...