Automation, Robotics and Artificial Intelligence

Dr. James Crowder – Chief Mentor/Scientist of the Automation, Robotics and Artificial Intelligence Research Lab

Dr. Crowder

Dr. James Crowder is the Chief Engineer of Advanced Programs at Raytheon Intelligence and Information Systems. He is responsible for the research and development into Artificial Cognitive Systems for Space, Air, and Ground applications. Since June 2004, Dr. Crowder has served as the Chief Ontologist and GPS OCX Lead Systems Engineer where he serves as the Chief Infrastructure (SOA) Architect GPS-OCX (3rd Generation GPS Ground Systems).  Dr. Crowder is an Adjunct Professor at Colorado Christian University where he presently teaches Computer Information Systems and Program Management courses for the BS and MS (MBA) level. Dr. Crowder was the STEM School and Academy’s Founder, Judy Brannberg’s Project Management Professor and assisted with the writing of the more than 600 page charter application and the project plan for the entire STEM Project.  Dr. Crowder is intricately invested in the STEM Ventures project and is eager to see the project succeed!

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Dr. Crowder is a prolific writer and below are a list of publications authored by Dr. Crowder:

Systems Engineering Agile Design Methodologies

Mulit-Sensor Fusion utilizing Dynamic Entropy and Fuzzy Systems

Hybrid Neural Processing Architectures

Cognitive Systems for Data Fusion

Intelligent Information Software Agents

Intelligent Agents for Integrated System Health Management: Modern Diagnostic and Prognostic Techniques

Anti-Terrorism Learning Advisory System (ATLAS)

Architectures for Dynamic, Adaptive Real-Time “Need-to-Know” Authorization

Artificial Emotions and Emotional Memory

Flexible Object Architectures for Hybrid Neural Processing Systems

Operative Information Software Agents (OISA) for Intelligence Processing

Artificial Neural Diagnostics and Prognostics: Self-Soothing in Cognitive Systems

Knowledge Density Mapping for Derivation of Inference Potential

Metacognition and Metamemory Concepts for AI Systems

Occam Learning through Pattern Discovery: Computational Mechanics in AI Systems

The Artificial Prefrontal Cortex: Artificial Consciousness

Hybrid Neural Architectures for the ELYSE Cognitive System

Transdisciplinary Synthesis and Cognition Frameworks

The Great Migration: Information to Knowledge using Cognition-Based Frameworks

Learning Agents for Autonomous Space Asset Management

Knowledge Binary Information Fragment Encoding for AI System Memories

Autonomous Creation and Detection of Procedural Memory Scripts

Applications of Intelligent Information Agents (I2As): Learning Agents for Autonomous Space Asset Management (LAASAM)

Extended Metacognition for Artificially Intelligent Systems (AIS)

Warrior Resillience Training through Cognitive Self-Regulation

Cognitive System Management: The Polymorphic, Evolving, Neural Learning and Processing Environment (PENLPE)

The Artificial Cognitive Neural Framework

Reasoning Frameworks for Autonomous Systems

Cognitive Perception utilizing Operationally Intelligent Software Agents (OISAs)

Possibilistic, Abductive Neural Networks (PANNs) for Decision Support in Autonomous Systems: The Advanced Learning, Abductive Network (ALAN)

Autonomous Robotic Systems for Collaborative Shared Awareness

Real-Time Data Storage and Retrieval in Autonomous Robotic Systems

Artificial Memory Reconstruction

Cyber Physical Systems for the 21st Century

Improving Software Performance via Human Interaction Learning