MULTI-AGENT SYSTEMS IN DISASTER RESPONSE: SIMULATION AND COORDINATION FRAMEWORKS

Abstract

Effective disaster response systems demand intelligent coordination, adaptability, and rapid decision-making. Multi-Agent Systems (MAS) provide a dynamic and decentralized framework for handling such complex environments. This paper explores the application of MAS in disaster scenarios, emphasizing simulation techniques and coordination strategies for optimal performance. We review current frameworks, highlight real-world case studies, and propose an integrative model tailored for disaster-prone regions like Pakistan. Graphical representations and simulation models substantiate our analysis, offering valuable insights for policy-makers and researchers focused on enhancing national disaster resilience.