Learning and Coordination of Human and Artificial

Abstract

We propose the development of distributed optimization techniques for identifying a model of an intelligent agentÕs dynamic decisions. We use a neural network (NN) representation of heterogeneous cognitive ability that is to be trained with streaming data with fast distributed asynchronous stochastic gradient approaches enabling online implementation. We refer to cognitive ability as the overall state of cognitive processes such as perception, attention, memory, information processing. The project addresses a gap in the inverse learning literature that largely ignores limited cognitive ability which is an important source of heterogeneity.

Document Details

• Document Type: DoD Grant Award
• Publication Date: Apr 01, 2019
• Source ID: W911NF1910201

Entities

People

• Alfredo Garcia

Organizations

• Army Contracting Command
• Texas Engineering Experiment Station
• United States Army

Tags

Fields of Study

• Computer science

Readers

• Agent-Based Social Robotics and Mobile-Assisted Learning in Virtual Environments.
• Neural Network Machine Learning.
• Team-Based Human-Centered Cognitive Task Decision Making and Information Performance.

Technology Areas

• AI & ML
• AI & ML - Machine Learning Algorithms
• AI & ML - Neural Networks