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Invited Talk - Dr. James A. Crowder

Last modified 2014-07-04 17:51

A Primitive Artificial Prefrontal Cortex for Cognitive Self-Regulation in Artificial Life Forms
Dr. James A. Crowder
Chief Engineer,
Raytheon Intelligence, Information, and Services
Aurora, Colorado, USA
Chief Mentor/Scientist of the Automation, Robotics and Artificial Intelligence Research Lab – Alexandria School of Innovation
Douglas County, Colorado
http://stemventures.org/?s=Crowder

Date & Time: 03:40pm - 04:20pm; July 22 (Tuesday), 2014
LOCATION: Ballroom 4


Abstract

    Research into self-evolving artificial life forms has been undertaken to establish whether self-evolving life forms were in deed possible. A series of experiments were undertaken over the last 10 years to create and test small, artificially intelligent cybernetic entities that have the ability to think, learn, and self-evolve, but at a very low-brain function level. These artificial life forms were created with very rudimentary cognitive functions to establish whether artificial cognitive architectures are realizable, even at a simplistic level. To more emulate rudimentary human brain functions, these cybernetic insects contain a combination of analog neural network for basic brain functions and learning, and a digital Artificial Neural Network (ANN) to digitize the learning and create artificial procedural memories that can be recalled at will, once a skill is learned (e.g., walking). One issue in analog neural networks, particularly with a dual-cortical analog network (emulating the two halves of the brain) is regulating information flow between the two halves of the “brain” to ensure one side is not learning at different rates than the other side.

    In order to provide a rudimentary cognitive control within the artificial life form, a primitive artificial prefrontal cortex was created that measures differential analog current flows through the two halve of the analog neural circuitry and regulates the information flows to ensure both halves of the brain are functioning at roughly the same rates. This talk will discuss the issues that were encountered in creating, monitoring, and regulating the cognitive functionality within the analog neural processes, and regulating the digital ANN and the integration of the analog and digital portions of the cognitive processing. A live demonstration of the cybernetic artificial life forms will be given as well as a description and computer model of the artificial prefrontal cortex utilized for cognitive self-regulation.

Biography

    Dr. James A. Crowder is a Chief Engineer with Raytheon’s Intelligence, Information, and Services (IIS) Business Unit, at the Aurora, Colorado facility. With patents pending for his Artificial Cognitive Neural Framework, and the Artificial, Continuously Recombinant Neural Fiber Network, Dr. Crowder has spent the last 30 years working in artificial intelligence, genetic algorithms, and fuzzy systems across a variety of aerospace companies. He serves as technical advisor and mentor to a STEM school in Douglas Country, Colorado, the Alexandria School of Innovation. With over 90 publications and 2 book chapters, and 3 books, including “Artificial Cognition Architectures,” Springer, 2013, “Systems Engineering, Agile Design Methodologies,” Springer, 2013, he continues to push the envelope in artificial intelligence and autonomous cognitive systems. His current work involves the theory of Artificial Neurogenesis.
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