Titlebook: Autonomous Intelligent Cyber Defense Agent (AICA); A Comprehensive Guid Alexander Kott Book 2023 The Editor(s) (if applicable) and The Auth

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The binding number of product graphs,ntified, and a representative example is illustrated. Specifically, a two-tier Multi-Agent Reinforcement Learning (MARL) algorithm was implemented to learn joint strategies among agents in a navigation and communication simulation environment. Based on simulation experiments, emergent collaborative

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Random subgraphs of regular graphs, that support task and overall outcomes. Human interaction considerations and methods relevant to AICA design are provided. The Human-Agent Mental Model and observe-orient-decide-act trace framework are described in reference to the current AICA reference architecture as an example of how to capture

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Lecture Notes in Computer Sciencered for effective command and execution. Finally, the turbulent operational environment in which these units operate stresses the need for organizational agility, ensuring internal operations are matching the degree of turmoil in external environments, a principle known as requisite variety. This re

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Visualizing, Finding and Packing Dijoins,chitectures; mechanisms; testing and certification; operations; and social, ethical, and legal aspects. To show how the challenges associated with these components are related to each other, we make connections between these two ecosystems by describing how tackling challenges in the research ecosys

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Stanley C. Eisenstat,Joseph W. H. Liu manner. Complicating factors encountered include the difficulty in constructing the framework to operate with various external systems in a generalizable way, and the likely host-system impact of needing to run multiple containers simultaneously to achieve desired functionality, especially when hos