توضیحات
Mathematical Methods Applied in AI and Multi-Agent Systems provides a comprehensive guide to the mathematical foundations underlying artificial intelligence and multi-agent system design. Topics include linear algebra, probability theory, optimization, graph theory, game theory, and stochastic processes, with applications to AI problem-solving, decision-making, and coordination among multiple agents. The book combines theory with practical examples, showing how mathematical models are used to develop algorithms for robotics, distributed systems, intelligent agents, and collaborative AI applications. Designed for researchers, students, and professionals in AI and multi-agent systems, it equips readers with the mathematical tools needed to analyze, simulate, and optimize complex intelligent systems.
نقد و بررسیها
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