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This book explores the theoretical and architectural foundations of predictive decision-making in autonomous systems. It addresses machine prediction, temporal modeling, distributed coordination, hierarchical objective structures, fault tolerance, and domain-specific constraints in transportation, manufacturing, and logistics. The monograph develops a system-level view of autonomous agents operating under uncertainty, with particular emphasis on predictive computation, multi-agent interaction, and resilient decision architectures.