Luis Alonso

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About

Luis Alonso is a researcher at the intersection of blockchain technology, agent-based modeling, and urban simulation. His work focuses on developing decentralized frameworks to model complex city dynamics, with a particular emphasis on integrating distributed ledger systems into multi-agent environments. His most notable contribution, "BASIC: Towards a Blockchained Agent-Based SImulator for Cities" (2019), introduces a pioneering architecture that combines blockchain’s transparency and security with agent-based simulations to analyze urban phenomena such as traffic, energy use, and resource allocation. This paper, with 9 citations, has laid foundational groundwork for a new class of decentralized urban planning tools. Alonso’s research is notable for its forward-looking approach, addressing challenges in trust, data integrity, and scalability within simulated city ecosystems. By bridging blockchain and agent-based modeling, he offers a novel lens for understanding how decentralized technologies can reshape urban governance and infrastructure. His work continues to inspire researchers exploring the convergence of smart cities, distributed systems, and computational social science.