An Autonomous EW Coordination Framework

Cognitive EW (CEW) is a vague term, and the reader is not enlighted when it is described as Artificial Intelligence (AI) or machine learning (ML) to enchance the development and operation of Electronic Warfare (EW).

This webinar will address how to implement a distributed EW capability, comprised of a number of different EW receivers and jammers, as a human/machine team. To achieve AI teams, the underlying is intelligent software agents.

Teamed autonomous agents are the basis for development teams to build and run distributed reasoning applications, and address key problems facing autonomous systems designers, namely:

• How do we create effective Human Machine Teams?
• How do we create Ethical and Explainable AI?
• How do we support Resilient Teaming in disruptive environments?

In contrast, to top-down, "bottom-up" approaches rely on the technology of neural networks, which, when trained on sample data sets are able to find these patterns in large data sets. The current "flavour of the month", Large Language Models )LLMs) or transformers, are trained on massive data sets and consequently are showing substantial capabilities in natural language composition, for example. However, as they match patterns, these approaches do not explain their output, or conclusions.

For autonomous systems, pattern-matching or learning systems are veery useful for absorbing large amounts of data from EW sensors, recognizing patterns in this data and identifying symbols. These provide situational awareness for the symbolic reasoner.

Consequently, autonomous EW systems take advantage of both top-down and bottom-up approaches, with the intelligent software agents managing the various EW assets and interacting with the human EW operators who retain the tactical management role.

The approach will be illustrated with an example of a modern naval surface fleet in contested waters. The threats come from surface vessels, aircraft, and many air-to-surface and surface-to-surface missiles. Combining all these threats occurring concurrently is a very challenging prospect.