AI Bibliography
AI Bibliography |
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Cayirci, E., AlNaimi, R., AlNabet, S. S. H., AlAli, S. A., & AlHajri, S. M. 2022, Experimenting with the mosaic warfare concept. Paper presented at 2022 Winter Simulation Conference (WSC). |
| Resource type: Proceedings Article BibTeX citation key: Cayirci2022 View all bibliographic details  |
Categories: Artificial Intelligence, Cognitive Science, Complexity Science, Computer Science, Data Sciences, Decision Theory, General, Military Science Subcategories: Autonomous systems, Chaos theory, Decision making, Edge AI, Fog computing, Human decisionmaking, Informatics, Internet of things, JADC2, Machine learning, Mosaic warfare, Networked forces, Psychology of human-AI interaction, Simulations, Strategy Creators: AlAli, AlHajri, AlNabet, AlNaimi, Cayirci Publisher: Collection: 2022 Winter Simulation Conference (WSC) |
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| Abstract |
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Mosaic warfare is a warfighting theory suggesting that a force made up of a larger number and variety of agile, fluid and scalable weaponry, sensors and platforms is more effective and resilient than a force developed following system of systems approach. Each member of a mosaic force is as distinct as the tiles in a mosaic. They can decide and act based on local situational awareness. This can have an overpowering advantage as compared to going head-to-head against the enemy's similar weapons and platforms. Mosaic warfare increases the speed of decision-making and can enable commanders to mount more simultaneous actions which creates additional complexity to the decision-making of the opposing forces. The enabling technologies for the mosaic warfare concept are investigated, the experimentation environment for testing the concept is created, the preliminary discovery experiments are conducted and the results from these experiments are presented.
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