Computational Red Teaming: Past, Present and Future

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Abstract:

<p><span style="background-color:rgb(255, 255, 255); color:rgb(51, 51, 51); font-family:arial,sans-serif">The combination of Computational Intelligence (CI) techniques &quot;with Multi-Agent Systems (MAS) offers a great deal of opportunities for practitioners and Artificial Intelligence (AI) researchers alike. CI techniques provide the means to search massive spaces quickly; find possible, better or optimum solutions in these spaces; construct algorithms, functions and strategies to control an autonomous entity; find patterns and relationships &quot;within data, information, knowledge or experience; assess risk and identify strategies for risk treatment; and connect the dots to synthesize an overall situational awareness picture that decision makers can utilize. MAS provide the structured, modular, distributed and efficient software environment to simulate systems; the architecture to represent systems and entities naturally; the environment to allow entities to observe, communicate &quot;with, negotiate &quot;with, orient &quot;with respect to, and act upon other entities; the modular representation that allows entities to store and manipulate observations, forming beliefs, desires, goals, plans, and intentions; and the framework to model behavior. By bringing CI and MAS together, we have a powerful computational environment that has the theoretical potential to do many things that one can expect &quot;when attempting to structure, understand, and solve a problem. In this article, we follow two objectives. First, we &quot;will present Computational Red Teaming (CRT) as the state-of-the-art architecture representing the integration of CI techniques and MAS for understanding competition. Second, we &quot;will demonstrate how this integration of MAS and CI benefits practitioners in almost all major application domains by drawing examples from defense, business and engineering. We &quot;will present the evolution of CRT by categorizing the different levels of integrating CI and MAS, and highlighting open research questions pertaining to CRT.</span></p>