Yanira De Paz

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About

Yanira De Paz is a researcher in artificial intelligence and multi-agent systems, with a focus on real-time agent architectures and execution planning. Her most-cited work, "An execution time planner for the ARTIS agent architecture" (2007, 36 citations), introduces a novel approach to scheduling and resource allocation within the ARTIS framework, enabling agents to dynamically manage their tasks under time constraints. This contribution is pivotal for developing autonomous systems that require adaptive, real-time decision-making, such as in robotics or distributed AI applications. De Paz’s research addresses critical challenges in agent coordination and efficiency, laying groundwork for more responsive and intelligent systems. Her work has been recognized for its practical implications in time-critical environments, influencing subsequent studies in agent-based planning and execution. With a career dedicated to advancing the capabilities of autonomous agents, De Paz continues to shape the field through her innovative methodologies and contributions to real-time AI systems.