Advances in Machine Learning & Artificial Intelligence(AMLAI)

PassmoreLab, Austin, Texas, USA

Publications

• Research Article   
  Agent-Based Evolutionary Predator-Prey Strategies
  Author(s): Greg Passmore*
  
  This paper discusses work integrating emergent behavior models with digital genetic evolution methods into intelligent agents for missile combat simulations. Drawing from predator-prey dynamics, proportional navigation, and decentralized decision-making, missile agents with real-time sensor inputs can dynamically adjust trajectories, optimize resource allocation, and achieve mission objectives in contested environments. While deterministic optimization is suitable for premission planning, evolutionary algorithms and decentralized agent-based systems are more adaptable in dynamic environments. Emergent behaviors lead to emergent intelligence, inspired by biological systems. Footage of social behaviors is used for seeding initial agent personality structures. Genetic evolution algorithms optimize self-organizing in forms inaccessible to traditional top-down methods, enabling agents to a.. Read More»
  

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